Predicting Mental Health from Followed Accounts 1

Running Head: Predicting Mental Health from Followed Accounts

Predicting Mental Health from Followed Accounts on Twitter

Cory K. Costello, Sanjay Srivastava, Reza Rejaie, & Maureen Zalewski

University of Oregon

Author note:

Cory K. Costello, Sanjay Srivastava, and Maureen Zalewski, University of Oregon,

Department of Psychology, 1227 University of Oregon, Eugene, OR, 97403. Reza Rejaie,

University of Oregon, Department of Computer and Information Science, 1202 University of

Oregon, Eugene, OR, 97403.

Correspondence concerning this article should be addressed to Cory K. Costello, who is now at the Department of Psychology, University of Michigan, 530 Church Street, University of

Michigan, Ann Arbor, MI 48109, email: [email protected]

Study materials, analysis code, and registrations (including pre-registered Stage 1 protocol) can be found at the project site: https://osf.io/54qdm/

This material is based on work supported by the National Institute of Mental Health under

Grant # 1 R21 MH106879-01 and the National Science Foundation under NSF GRANT#

1551817. Predicting Mental Health from Followed Accounts 2

Abstract

The past decade has seen rapid growth in research linking stable psychological characteristics

(i.e., traits) to digital records of online behavior in Online Social Networks (OSNs) like

Facebook and Twitter, which has implications for basic and applied behavioral sciences.

Findings indicate that a broad range of psychological characteristics can be predicted from

various behavioral residue online, including language used in posts on Facebook (Park et al.,

2015) and Twitter (Reece et al., 2017), and which pages a person ‘likes’ on Facebook (e.g.,

Kosinski, Stillwell, & Graepel, 2013). The present study examined the extent to which the

accounts a user follows on Twitter can be used to predict individual differences in self-reported anxiety, depression, post-traumatic stress, and anger. Followed accounts on Twitter offer distinct theoretical and practical advantages for researchers; they are potentially less subject to overt impression management and may better capture passive users. Using an approach designed to minimize overfitting and provide unbiased estimates of predictive accuracy, our results indicate that each of the four constructs can be predicted with modest accuracy (out-of-sample R’s of approximately .2). Exploratory analyses revealed that anger, but not the other constructs, was distinctly reflected in followed accounts, and there was some indication of bias in predictions for women (vs. men) but not for racial/ethnic minorities (vs. majorities). We discuss our results in light of theories linking psychological traits to behavior online, applications seeking to infer psychological characteristics from records of online behavior, and ethical issues such as algorithmic bias and users’ privacy. Predicting Mental Health from Followed Accounts 3

Predicting Mental Health from Followed Accounts on Twitter

Stable psychological characteristics are expressed behaviorally in many domains,

including online, where they often leave more or less permanent digital records in their wake.

The extent to which stable individual differences in mental health are expressed online,

imprinted in corresponding digital records, and ultimately recoverable from these records has

wide-ranging implications for basic and applied behavioral sciences. Inferring individuals’

mental health status from online records with an appreciable degree of accuracy could accelerate

advancements in clinical science, easing the burdens for researchers and participants imposed by

traditional survey-based research. In time, such approaches could be developed into tools useful for clinical practice and public health. At the same time, the promise of inferring mental health from digital records of behavior is accompanied by potential threats to individuals’ privacy, as such tools could be used to infer a person’s mental health without their explicit consent. Given both the promise and risks, we need to better understand how mental health is reflected in, and recoverable from, digital records of online behavior. Our focus here is on inferring depression, anxiety, anger, and post-traumatic stress from the accounts users choose to follow on the popular online social network (OSN), Twitter.

Psychological Traits can be Inferred from Digital Records

The theory of behavioral residue holds that one by-product of the expression of traits is

the accumulation of lasting residual traces of past behavior in the physical or digital spaces a

person occupies. Early work demonstrated that human judges could infer psychological traits

from behavioral residue in physical living and working spaces with considerable accuracy

(Gosling, Ko, Mannarelli, & Morris, 2002). More recently, researchers have trained machine Predicting Mental Health from Followed Accounts 4

learning algorithms to do so with behavioral residue found in OSNs such as Facebook (Kosinski,

Stillwell, & Graepel, 2013; Park et al., 2015; Schwartz et al., 2013). Behavioral residue in OSNs

has included linguistic content (e.g., Facebook status updates; Park et al., 2015; Schwartz et al.,

2013) and which pages a person has ‘liked’ on Facebook (Facebook-like ties; e.g., Kosinski,

Stillwell, & Graepel, 2013), both having demonstrated considerable predictive accuracy. Indeed,

the accuracy of inferences based on Facebook-like ties can even exceed that of knowledgeable

human judges (Youyou, Kosinski, & Stillwell, 2015). We focus here on using behavioral residue

from Twitter, an OSN that differs from Facebook in ways relevant to basic psychological theory,

public health applications, and privacy concerns.

Twitter is an OSN service and microblogging platform used by approximately 24% of US adults (as of January 2018; Pew Research Center, 2018). Users post short messages of no more than 2801 characters called “tweets” that other users can see, respond to, share (called

“retweeting”), or react to (via a “like” button). Unlike Facebook, accounts are public by default,

and most users choose to keep their accounts public; Twitter does not release the percentage of

public accounts, but a 2009 report found that 90% of accounts were public, with a trend towards

even fewer private accounts (Moore, 2009). The public nature of Twitter makes it an especially

interesting setting for the present investigation for two reasons. First, its public nature eases the

burden of collecting users’ data: one of several off-the-shelf Python (e.g., Tweepy; Roesslein,

2009) or R libraries (e.g., twitter; Gentry, 2015) can be used to download any of these many public accounts’ data, including their recent tweets, whom they follow, and who follows them.

Thus, there is at least one fewer barrier to people outside of the Twitter company for

1 Prior to November 2017, tweets were limited to 140 characters. Predicting Mental Health from Followed Accounts 5

implementing beneficial (e.g., public-health) or harmful (e.g., discriminatory) applications on

Twitter than less public-facing OSNs like Facebook. Second, its public nature could affect the relative candor of behavior on Twitter, since efforts to manage others’ impressions can be stronger in more public settings (Leary & Kowalski, 1990; Paulhus & Trapnell, 2008).

Previous work has attempted to infer or predict psychological traits from behavioral residue on Twitter, focusing primarily on linguistic analyses of tweets. This growing body of work demonstrates that tweets can be used to predict a wide range of psychological characteristics, including self-reported personality traits, affective states, depression, post- traumatic stress, and the onset of suicidal ideation (Coppersmith, Harman, & Dredze, 2014; De

Choudhury, Counts, & Horvitz, 2013; De Choudhury, Gamon, Counts, & Horvitz, 2013; De

Choudhury, Kiciman, Dredze, Coppersmith, & Kumar, 2016; Dodds, Harris, Kloumann, Bliss, &

Danforth, 2011; Nadeem, Horn, & Coppersmith, 2016; Park, Cha, & Cha, 2012; Qiu, Lin,

Ramsay, & Yang, 2012; Reece et al., 2017). Although the heterogeneity in how mental health is measured can make interpretation challenging, in broad terms these previous studies suggest that behavior on Twitter relates meaningfully to psychological traits. In contrast to the emphasis on linguistic analyses, there has been relatively little work using network ties on Twitter to predict psychological traits. The few attempts have looked at abstract structural characteristics of ties

(e.g., tie counts or social network density; Golbeck, Robles, Edmonson, & Turner, 2011;

Quercia, Kosinski, Stillwell, & Crowcroft, 2011) rather than treating the specific accounts to which a user is tied as meaningful. We focus here on the specific accounts that users follow.

Ties or connections on Twitter are directed, meaning that users can initiate outgoing ties

(called “following” on Twitter) and receive incoming ties (called “being followed” on Twitter) Predicting Mental Health from Followed Accounts 6

which are not necessarily reciprocal. In keeping with the terminology of Twitter’s Application

Programming Interface (API), we refer to the group of users that a person follows as their friends

and the group of users that follow a person as their followers. While both ties are likely rich in

psychological meaning, we focus on friends in the present investigation for several reasons.

First, a user has nearly complete control over the accounts they follow, making friends a

more direct product of the user’s own behavior. While most of a users’ followers likely reflect

their own behavior and relationships, some might be unrelated (e.g., spam accounts, bots, users

looking for reciprocated following, etc.), increasing the relative noise among followers (vs.

friends). Second, following accounts is the primary way users’ curate their feed – what they see

when they log into the app – and so their choice of friends likely reflects the information they are

seeking out on Twitter. In this way, following accounts on Twitter is similar to liking pages on

Facebook, a behavior which has been previously demonstrated to robustly predict psychological

characteristics (Kosinski et al., 2013; Youyou et al., 2015). Third, an important practical

consideration for a predictive modeling approach is that friends on Twitter often include famous

brands, celebrities, politicians, or other high in-degree accounts, which appeal to similar interests

or motivations in many users. Users are thus likely to share some friends even in moderately small samples, whereas they may have no followers in common because there aren’t parallel high out-degree accounts that appear in many users’ follower networks. Consequently, friends are far less likely to be zero-variance predictors than followers in moderately-sized, random

samples.

Predicting Mental Health from Twitter-Friend Ties Predicting Mental Health from Followed Accounts 7

Twitter-friend ties are an important next step in studying behavioral residue online for both theoretical and practical reasons. In contrast to tweets, Twitter-friend ties are not explicit signs or displays intended to be consumed by an audience of other people, and so they may be less subject to impression management goals. For this reason, Twitter-friend ties may be especially apt for predicting more evaluative psychological traits like mental health status.

Likewise, people may be unaware of how much they are divulging with their selection of Twitter friends, heightening the relevant privacy concerns. For example, imagine a Twitter user who wants to present as less depressed than they truly are. They may be well aware that they should avoid writing tweets that express negative emotionality (typically the best linguistic cues for depression; see e.g., Reece et al., 2017), but they may not think to tailor their selection of friends to serve this impression management goal.

Another important advantage of Twitter-friend-based assessments is that they should work well with both active and passive users, which are distinguished in terms of the extent to which they actively engage with others (e.g., tweeting, commenting, etc.) or passively consume content (e.g., read tweets posted by their friends; Verduyn et al., 2015). Passive users tweet less often by definition, so tweet-based predictions are less suited for them. But if they are using

Twitter to passively consume information, they will still follow other accounts and thus establish a set of Twitter-friend ties. Incorporating passive users may be especially advantageous for improving predictive accuracy when examining mental health such as depression and anxiety, because symptoms such as withdrawn behavior, indecision, or worry, may manifest as more passive than active twitter behavior; users who would generate insufficient data for an analysis of posted tweets may still follow a sufficient number of accounts to analyze friends. Predicting Mental Health from Followed Accounts 8

Although the psychological meaning of Twitter friends is perhaps less immediately obvious than the psychological meaning of tweets, there are several reasons to suspect that it may be rich, and that people are therefore unknowingly disclosing sensitive information about psychological traits like anxiety, anger, depression, and post-traumatic stress through their friend networks. Individuals’ mental health could affect which accounts they choose to follow in several ways. One theory anticipating this is homophily, which holds that people like and therefore seek out others who are similar to themselves. For example, relatively depressed individuals would be anticipated to differentially follow other similarly depressed individuals or accounts. Informative to the present work, homophily has been consistently observed (offline) for individual differences in emotion (Anderson et al., 2003; Watson et al., 2000a, 2000b, 2004,

2014) and mental health status such as depression (Schaefer, Kornienko, & Fox, 2011), and has recently been found in OSN friendship-ties (Youyou, Stillwell, Schwartz, & Kosinski, 2017).

Mental health could also affect Twitter-friend ties if selecting Twitter friends reflects strategies to regulate one’s emotions via situation selection (Gross, 2002). For example, a person who is relatively more depressed may seek out especially positive content on Twitter to upregulate positive emotions.

The reverse causal direction is also possible and Twitter friends could affect individuals’ mental health, either via emotion contagion processes – which have been observed in online social networks (Kramer, Guillory, & Hancock, 2014) – or through other mechanisms. Both could affect each other complementarily, creating a person-environment transaction whereby people select themselves into networks that reinforce their existing mental health (Buss, 1984).

For example, negative world views are a psychological component of depression, which may be expressed on twitter by seeking out friends that reaffirm this negative world view, which may in Predicting Mental Health from Followed Accounts 9

turn exacerbate depression symptoms. We cannot distinguish between these different

possibilities in our data, but each would facilitate friend-based predictive accuracy.

The Present Study

The present study examines the extent to which psychological traits relevant to a person’s

mental health and well-being can be inferred from their Twitter friends. We focused on self-

reported depression, anxiety, anger, and post-traumatic stress, providing a relatively broad range

of important mental health constructs. We incorporated best practices in psychometrics, open

science, and machine learning. Our outcomes are measured with well-validated, psychometrically sound measures, which should enhance the predictive accuracy and explanatory utility of the results. To ensure unbiased estimates, we incorporated pre-registration and a holdout sample into our data analysis workflow, where we first performed all model training and selection in part of the data, pre-registered our final models (in a publicly-available, timestamped registration), and finally tested them on the holdout sample. In doing so, our results provide a highly rigorous test of the extent to which a broad range of mental health constructs are reflected in Twitter friend ties.

Method

Participants and Procedure

Data collection was approved by the University of Oregon Institutional Review Board

(Protocol # 12082014.013) and was conducted in a manner consistent with the ethical treatment of human subjects. We collected data from the Spring of 2016 until the Fall of 2017, recruiting participants primarily from the “r/beermoney” and “r/mturk” Reddit communities, with Predicting Mental Health from Followed Accounts 10

additional participants from the University of Oregon Human Subjects Pool (UOHSP),

Amazon’s Mechanical Turk (mTurk), and Twitter advertising (using promoted tweets).

Our inclusion criteria required participants to provide an existing unlocked Twitter

account, currently reside in the US, speak English fluently, tweet primarily in English, and to

meet minimum thresholds for being an active Twitter user. Active twitter users were defined as

having a minimum of 25 tweets, 25 friends, and 25 followers. Using two-stage prescreening, we attempted to first screen participants for eligibility before they completed the main survey; participants had to affirm that they met the inclusion criteria before they proceeded with the main survey. However, since participants could erroneously state that they met the inclusion criteria, each participant was individually screened by the first author to verify that they indeed met the criteria, and to further assess whether the Twitter handle belonged to the participant whom provided it. This consisted of manually searching each Twitter account provided, ensuring it met the activity thresholds, and assessing whether the account provided was obviously fake (e.g., one participant provided Lady Gaga’s account and was subsequently excluded). When it was especially difficult to verify that the accounts provided belonged to participants, we contacted them to confirm that they indeed owned the account they provided by direct messaging our lab’s

Twitter account from the account they provided.

The total number of participants recruited through each mechanism as well as the subset that were verified as meeting the inclusion criteria are shown in Table 1. As shown in Table 1, this process led to a total of Neligible = 762 accounts that we were able to verify met our inclusion

criteria. Ineligible prescreen participants contained a mixture of participants who did not provide

an existing Twitter account, participants who provided an account that they did not own (e.g., Predicting Mental Health from Followed Accounts 11

Lady Gaga’s account), participants whose Twitter account did not meet the activity thresholds, and participants that provided an eligible but locked account.

In all recruitment methods, participants were able to click a link that took them to the

Qualtrics survey where they provided their Twitter handles, answered some questions about their

Twitter use, completed several self-report measures (described below), and finally completed basic demographics questions. At the end of the survey, participants were thanked, and compensated either with an Amazon gift card or physical check for $10 or with course credit for participants recruited through the human subjects pool.

We then downloaded each eligible participant’s full friends lists from Twitter’s API. Of the 762 eligible accounts, we were unable to get friends lists from 101 participants, one user was suspended, and the remaining 101 either deleted, locked, or changed the handle2 of their accounts in the intervening time between screening for eligibility and collecting friends lists from Twitter’s API. This resulted in the final sample for the present study of N = 661 active

Twitter users. The sample consisted of 424 men and 232 women (2 did not provide gender). The majority of participants identified as White (n = 515), followed by Asian (n = 85), Black or

African American (n = 44), American Indian or Alaska Native (n = 13), and Hawaiian or other

Pacific Islander (n = 5). Participants could indicate more than one option, and 26 participants did.

Sixty-eight participants identified as Hispanic/Latino, 590 participants identified as not

Hispanic/Latino, and three provided no response. Six-hundred and thirty-five participants spoke

2 Our workflow consisted of looking up users in Twitter’s API based on the handle they provided using application- only authentication. Predicting Mental Health from Followed Accounts 12

English as their first language, 25 participants spoke English as a second language, and one

participant did not indicate whether they spoke English as a first or second language.

Measures

Participants completed a series of psychometric scales, including the measures of anxiety,

anger, depression, and post-traumatic stress relevant to the present study. Anxiety, anger, and

depression were measured using short-forms of the Patient-Reported Outcomes Measurement

Information System (PROMIS; Pilkonis et al., 2011) questionnaires. These measures asked

participants to indicate the frequency of symptom occurrence on a scale ranging from 1 (never)

to 5 (always). The anxiety scale consisted of eight short statements (e.g., ‘I felt fearful’), the

anger scale consisted of five short statements (e.g., ‘I felt like I was ready to explode’), and the

depression scale consisted of eight short statements (e.g., ‘I felt worthless’). Post-traumatic stress

was measured using the well-validated 10-item Trauma Screening Questionnaire (TSQ; Brewin

et al., 2002), which asks participants to indicate whether or not they have experienced 10

symptoms (‘upsetting dreams about an event’) at least twice in the past two weeks.

Planned Analyses

Prior to in principal acceptance, we kept ourselves blind to the data and had not

conducted any analyses in any of the collected data, only manually inspecting it to ensure that it

was collected correctly. This approach enabled us to write an unbiased pre-registration before running any analyses (Srivastava, 2018). After receiving in principal acceptance on September

6th 2019, we completed our registration of the approved protocol on September 10th 2019

(available at the following link: https://osf.io/5yu38). Unless otherwise noted, all analyses were

conducted in R (version 3.6.1 or later; R Core team, 2018). Figure 1 depicts our general data Predicting Mental Health from Followed Accounts 13

analysis workflow (1a), model training workflow (1b), and model testing workflow (1c). In

broad strokes, our aim was to train and select a predictive model for each mental health variable

that 1) maximized out-of-sample predictive accuracy, 2) guarded against over-fitting, and 3) is

interpretable, providing insight into how and why mental health may be recoverable from friend

relations on Twitter. To meet these aims, we partitioned our data into a training and holdout

sample, performed all feature selection, data reduction, model training, and model selection on

the training sample, and used the holdout sample only to assess accuracy of the final model. Our

aims led us to choose four modelling approaches (detailed below) as our candidate models. We

selected these four approaches based on a combination of what has worked previously with

similar data in published studies (e.g., Kosinski et al., 2013) and our own feasibility studies

(described later), techniques that are well-suited to Twitter friends data (e.g., algorithms that work well with sparse predictors), and potential interpretability. The specific rationale for each of the four approaches is detailed below.

Data partitioning. As shown in Figure 1a, we first split the final sample (N = 661) into a

training and holdout (testing) set using the Caret package in R (version 6.0-80; Kuhn et al.,

2018). The training and holdout samples consist of roughly two-thirds (ntraining = 438) and one-

third (nholdout = 223) of the data respectively. All feature selection, data reduction, model training,

estimation, and selection were determined from the training data. The final model(s), trained and

selected within the training data, were tested on the holdout sample to get an unbiased estimate

of out-of-sample accuracy.

Model training. Figure 1b shows our model training workflow and approach. As seen in

Figure 1b, we first conducted explicit feature selection, and then we trained and evaluated Predicting Mental Health from Followed Accounts 14

models using four different approaches (under each of the three feature selection rules). Each mental health variable was modelled separately, and so the model trained and selected for one construct (e.g., depression) could differ in every respect (approach, feature selection threshold, hyperparameters, parameters) than the model trained and selected for another construct (e.g., post-traumatic stress). All models were trained, tuned, and evaluated (within-training evaluation) using k-fold cross-validation. This splits the data into k random subsets called folds, trains the data with k-1 folds, and tests the model’s performance on the kth fold; this is repeated until each fold has been the test fold. We set k to 10, which is commonly recommended (Kosinski, Wang,

Lakkaraju, Leskovec, 2016). This procedure is an efficient means for reducing overfitting during model training and selection (Yarkoni & Westfall, 2017).

Explicit feature selection. The data being used to predict mental health variables were structured as a user-friend matrix, where each row was an individual user, each column was a unique friend followed by some user(s) in the sample, and cells are filled in with 1’s or 0’s indicating whether (1) or not (0) each unique user follows each unique friend. The number of unique friends, or features (also sometimes called predictors), in the data exceeds what is computationally feasible or efficient. Moreover, accounts followed by few users are unlikely to be practically useful. At the extreme, uniquely followed accounts are effectively zero-variance predictors and therefore useless for most modeling and data reduction techniques. As such, the first step of our model training was minimal feature selection, pruning friends from the data that have few followers in our data (see Figure 1b) analogously to Kosinski and colleagues (2013) approach to Facebook likes. The optimal threshold for feature selection in this data is not yet known, so we tried three values, eliminating friends followed by fewer than 3, 4, and 5 of the participants in our data; the minimum of 3 was chosen because any lower often led to model Predicting Mental Health from Followed Accounts 15

convergence issues in the preliminary analyses (described below). The feature selection rule that showed the best training performance (see model selection section below) was used in the test data. Some modelling approaches performed further feature selection and/or data reduction; they are described alongside the corresponding approach below.

Modelling approaches. As shown in Figure 1b, we compared four different modelling approaches: Relaxed LASSO, Random Forests, Supervised Principal Components Analysis

(Supervised PCA), and two-step Principal Components Regression (PCR) with ridge regularization. Each is described in greater detail below.

Mirroring Youyou and colleagues’ (2015) approach to predicting personality from

Facebook likes, we trained a model predicting each mental health variable with a variant of

LASSO regression on the raw user-friend matrix, treating each unique twitter friend as a predictor variable. Classic LASSO is a penalized regression model which, like ordinary least squares (OLS), seeks to minimize the sum of squared errors and additionally seeks to minimize a function of the sum of absolute beta (regression coefficient) values (i.e., the L1 penalty,

| |, where is a scaling parameter that determines the weight of the penalty). However,𝜆𝜆 ∗ 𝑗𝑗 𝑗𝑗=1 𝑗𝑗 ∑classic𝛽𝛽 LASSO is𝜆𝜆 known to perform poorly in contexts like these, with many noisy predictors

(Meinhausen, 2007)3. Meinhausen (2007) developed relaxed LASSO to overcome this issue, by separating LASSO’s variable/feature selection function from its regularization (shrinkage) function. Essentially, it runs two LASSO regressions in sequence; the first performs variable selection, selecting k predictors (where k is ≤ total number of predictors j) based on scaling

3 We confirmed that classic LASSO is a poor fit for this kind of data; some models fit with classic LASSO during the preliminary analyses (described below) produced predicted values outside of the bounds of the observed data (indicated by RMSE values in the millions; see LASSO section of ‘predictive_modelling_both_samples.html’ at the projects’ osf site: https://osf.io/ky7u3/). Relaxed LASSO did not suffer from such issues. Predicting Mental Health from Followed Accounts 16

hyperparameter , and the second performs a (LASSO) regularized regression with the remaining k variables,𝜆𝜆 shrinking the parameter estimates for the reduced variable set based on scaling hyperparameter ф (see Figure 2b). Relaxed LASSO, like classic LASSO, can be difficult to interpret when features are correlated, which may or may not be the case with Twitter friends in our data.

The second approach used the Random Forests algorithm on the raw user-friend matrix

(see Figure 1b). Random Forests works by iteratively taking a subset of observations (or cases) and predictors, building a regression tree (i.e., a series of predictor-based decision rules to determine the value of the outcome variable) with the subset of predictors and observations, and averaging across the iterations. It is thus an ensemble method, which avoids overfitting by averaging across many models trained on a subset of participants and features. It works well with sparse predictors (Kuhn & Johnson, 2013), making it a promising candidate for Twitter friends.

Like LASSO, interpretation can be difficult in the presence of correlated features. Although

Relaxed LASSO and Random Forests are promising, their difficulty with correlated features could be problematic if Twitter friends are highly correlated. Our third and fourth approaches were chosen in part because they are more robust to this potential issue.

Our third approach was Supervised Principal Components Analysis (sPCA), which first conducts feature selection by eliminating features that are below some minimum (bivariate) correlation with the outcome variable, and then performs a Principal Components Regression

(PCR) with the remaining feature variables; both the minimum correlation threshold and number of components to extract are traditionally determined via cross-validation (Bair, Hastie, Paul, & Predicting Mental Health from Followed Accounts 17

Tibshirani, 2006; see Figure 1b). Interpretation tends to be relatively straightforward, even with

correlated predictors, making it a promising candidate for the present aims.

Finally, mirroring Kosinski and colleagues (2013)4, we conducted a two-step PCR with

ridge regularization by first conducting an unsupervised PCA on the user-friend matrix and using the resulting (orthogonal) components as predictors in a Ridge regression; we extracted the number of components that corresponded to 70% of the original variance. Ridge regression is similar to LASSO but seeks to minimize the sum of squared coefficient values (i.e., L2 penalty;

) instead; it also shrinks coefficients to be closer to zero, but tends to allow more 𝑗𝑗 2 𝑗𝑗=1 𝑗𝑗 𝜆𝜆(small)∗ ∑ non𝛽𝛽 -zero coefficients. Ridge, like LASSO, provides relatively interpretable solutions

when predictors are uncorrelated, which is the case with orthogonal principal components.

Model selection. As mentioned above, all models were trained using the training data,

and each model’s training performance was indexed via root mean squared error (RMSE) and the

multiple correlation (R) from 10-fold cross-validation. Although machine learning approaches

tend to prioritize predictive accuracy over interpretability (see Yarkoni & Westfall, 2017); we

attempted to maximize both to the extent possible. As such, we selected our final model based on

both (quantitative) model performance criteria (minimal RMSE, maximal multiple R) and

(qualitative) interpretability. Note that in addition to RMSE/R for the best performing model, we

also considered the spread of training results (e.g., we may have chosen a model that did not

have the best single performance, if it had less variability in performance). We therefore selected

4 One major difference between Kosinski and colleagues’ (2013) and our approach is that we plan to use PCA instead of singular value decomposition (SVD). PCA is special case of SVD where the data matrix is first centered; because of this centering, it tends to be less computationally efficient but more interpretable. Our feasibility analyses (described below) indicate that PCAs are indeed feasible in data similar to the present data. Predicting Mental Health from Followed Accounts 18

the best fitting model that we judged to be interpretable (i.e., friends that are important in the

model’s predictions made substantive sense).

Model testing. As shown in Figure 1a, we selected our candidate models based on the training data, completed an interim registration of our model selection (registered on 11/07/2019 at https://osf.io/nz7fu), and then tested the selected models’ accuracy using the (heldout) test

data. After completing the interim registration, we discovered several bugs in the training

analyses, and posted an addendum to the interim registration detailing them and their impact on

the training results (registered on 12/19/2019 at https://osf.io/xn78h/)5. To guard against

overfitting, we selected one candidate model per outcome variable. In addition to our candidate

models, we also tested the out-of-sample accuracy for the non-selected models as exploratory analyses, but clearly distinguished selected from non-selected models (which can be verified in our registration). This could have included better fitting but less interpretable models, potentially providing insight into the extent to which prioritizing interpretability helps or harms out-of- sample predictive accuracy. Figure 1c shows our approach to model testing. Figure 1c highlights the independence of the model and decision making from the test data, including filtering friends

(i.e., feature selection) and scoring the PCA solution (if two-step PCR is chosen). The model’s performance in the test data should thus be well-guarded against overfitting and data leakage.

Outcome-Neutral Quality Checks

5This addendum refers to an output file that has been removed from OSF out of an abundance of caution for participants’ privacy, but is identical to the output file in the main project repository except that exact PCA-loadings were removed and summarized textually instead (available here: https://osf.io/axgrj/) Predicting Mental Health from Followed Accounts 19

We assessed the self-report and Twitter data for quality using outcome neutral criteria to better ensure that we could trust our results, especially if we were to find low predictive accuracy.

Self-report quality. To trust our predictive accuracy results we needed to ensure the quality of the self-report data. We did this in two ways. The first consisted of assessing scale reliability via split-half reliability. The second consisted of ensuring there are not floor or ceiling effects in our data by plotting distributions of scale scores. If any of the four scales had shown low reliability or evidence of a floor or ceiling effect, we would have considered that scale as having failed this quality check and consider predictive modeling with that scale less informative.

Twitter friends. Because each single friend is expected to contribute at most a small amount to predictive accuracy, our analyses rest on the presence of many (different) friends in the data. As such, we first examined the number of friends left in the data under the three feature selection thresholds we used, a minimum of 3, 4, or 5 followers in the data. We planned to not use a feature selection threshold that resulted in fewer than 100 friends unless even the least strict filter (minimum of 3 followers) did. In that event, we planned to proceed with analyses but consider this ‘minimum number of friends in the data’ quality check failed, which would be noted in the interpretation of the predictive modelling.

Preliminary Feasibility Analyses

We had conducted a series of preliminary analyses aimed at determining the feasibility of our planned approach, predicting the sentiment and emotion of user’s tweets from their Twitter friends. The scripts and data for these analyses can be found on OSF at the following link: Predicting Mental Health from Followed Accounts 20

https://osf.io/ky7u3/. We consider these to be feasibility analyses only; they do not have strong implications for our anticipated findings for at least three reasons. First, the self-report mental health variables we are seeking to predict likely have different psychometric properties than average sentiment; the former having been subject to more rigorous psychometric testing than the latter. Second, the sampling procedure here is very different than the sampling procedure we employed for the actual study. Third, the combined size of the initial samples is smaller by almost 200 participants and the replication sample is even smaller, leading to less precision. For these reasons, we believe these results speak only to the feasibility of the proposed analyses and should be interpreted primarily in this light.

Despite these differences, we conducted these analyses to explore some peculiarities of using a user-friend matrix to predict user characteristics, such as sparsity of the data. Indeed, this exercise provided valuable insights that informed our planned analyses. For example, we found that three or more followers in the data was a good lower-bound for feature selection; even relaxing this to two or more followers in the data led to model convergence issues. Likewise, we found that classic LASSO produced impossible solutions in this kind of data, whereas Relaxed

LASSO did not suffer from such issues. Thus, these feasibility analyses provided a means to work out some of the issues inherent to using sparse, noisy predictors like Twitter friends.

We started by taking two samples of twitter users which were ultimately combined. The first came from a random sample of the first author’s two-step Twitter friend network (a random sample of his friends’ friends; ntwo-step-friends = 282) and the second came from a random sample of followers from two prominent political accounts (‘@BarackObama’ & ‘@realDonaldTrump’; npolitical-followers = 532). We accessed the Twitter API to download full friends lists and all Predicting Mental Health from Followed Accounts 21

available tweets for these 814 accounts. We next removed users that wouldn’t have met our

inclusion criteria; users were removed if their language set to anything other than English, if they

had fewer than 25 friends, and if they had fewer than 25 tweets; this resulted in a final combined

sample of 484 Twitter users. We split the data into a 60-40 training-test split (ntraining = 290; ntest

= 194). We then scored each of these users’ tweets for sentiment and emotion using the NRC

lexicons developed for scoring sentiment and emotion in tweets (Mohammad & Kiritchenko,

2015); for the sake of space, we’ll just discuss the sentiment results here.

We predicted tweet sentiment from twitter friends’ using the approaches outlined above6.

Figure 2a contains model performance during training in these data as determined by the

multiple correlation (R). The feature selection filter (i.e., the minimum number of followers in

the data friends must have) is on the y-axis and multiple correlation (R) units are on the x-axis

(ranging from 0 to .9 at the edge of the graph). Each dot represents a single model from training

and bars represent the average across models within a given approach; the approach used is

denoted by the color of the dots and bars. For example, the three (tightly clustered) purple dots at

the top represent the average multiple correlation for the three Unsupervised PCA + ridge models

fit with the user-friend matrix trimmed to only have friends with at least 5 followers in the data;

the three models represent different values for lambda (i.e., different strengths of the L2 penalty).

The accompanying purple bar is the average R across the three models.

As seen in Figure 2a, Random Forests with the most inclusive friends list (minimum of 3 followers in the data) had the best fitting single model (multiple R of approximately .43);

6 We also used classic LASSO and found that it produced impossible predictions (RMSEs and MAEs in the millions); those can be found in the script and output for the initial samples (“predictive_modelling_both_samples.html”) but are not discussed here. Predicting Mental Health from Followed Accounts 22

Random Forests with the least inclusive friends list (minimum of 5 followers in the data) had the

best average fit. We chose the former model (Random Forests with friends that have a minimum

of 3 followers in the data), given that it had the best fitting single model and nearly identical

average training (see Figure 2a). The out-of-sample accuracy for this model was lower than training performance, but only very slightly (R = .42). As stated previously, we additionally considered interpretability in the planned analyses, which was not part of the decision process in the feasibility analyses.

As a final step, we conducted a small replication, obtaining a small sample by sampling from follower lists of 10 popular Twitter accounts (‘@joelembiid’, ‘@katyperry’,

‘@jimmyfallon’, ‘@billgates’, ‘@oprah’, ‘@kevinheart4real’, ‘@wizkhalifa’, ‘@adele’, ‘@nba’, and ‘@nfl’); after applying the same filtering criteria as above, we had a replication sample of

Nreplication = 129 unique users. We split these data into a 80-20 training-test split (nreplication_training =

103; nreplication_test = 26). The training results are displayed in Figure 2b in a graph with an identical layout to Figure 2a. As seen in Figure 2b, results looked very similar in the replication data as they did in the initial samples, with Random Forests using friends with a minimum of three followers in the data again performing best (R = .61); Random Forests using friends with a minimum of 5 followers in the data again had a slightly better average performance. We selected the former model (Random Forests, friends with 3+ followers) and again found a small decrease

in predictive accuracy when applying this model to the test data (R = .48), thus confirming the

relative consistency of our modelling workflow.

Results Predicting Mental Health from Followed Accounts 23

We first assessed the outcome-neutral quality checks. For the four self-report scales, this

consisted of assessing reliability (via split-half reliability) and inspecting their distributions for

evidence of floor or ceiling effects. As seen in Table 2, each scale demonstrated adequate split-

half reliability, had mean values close to the scale mid-points, and had the scales’ limits as minimum and maximum values. Figure 3 shows density distributions of each scale score where it is apparent that scores are somewhat positively skewed, but not to the point of suggesting floor effects that would preclude the planned analyses. The self-report scales thus demonstrated adequate reliability and did not demonstrate floor or ceiling effects, thereby passing our pre- specified outcome-neutral quality check.

For the followed accounts, our quality check required that more than 100 followed

accounts remained after feature selection at all three selection thresholds. The total (training and

holdout combined) sample of 661 participants followed 301,272 unique accounts. Filtering at

three or more followers in the training data resulted in 8,422 unique followed accounts. Filtering

at four or more followers in the training data resulted in 4,893 unique followed accounts.

Filtering at five or more followers in the training data resulted in 3,239 unique followed

accounts. Thus, each of our feature selection thresholds resulted in far more predictors than the

minimally acceptable 100 from our pre-specified quality checks, and so we used each in our model training analyses.

Model Training and Selection

We trained models to predict depression, anxiety, anger, and post-traumatic stress from followed accounts. We then evaluated their cross-validated predictive accuracy and the extent to Predicting Mental Health from Followed Accounts 24

which they produced interpretable solutions (i.e., model results theoretically consistent with the

construct being predicted).

Evaluating predictive accuracy. Our first major criterion for evaluating models in

training was to examine their predictive accuracy, using both the correlation between predicted

and observed scores (model R) and a measure of the size of models’ errors (RMSE). Rs and

RMSEs were calculated using k-fold cross-validation, and corresponded to the average correlation (for R) and average difference (for RMSE) between observed and predicted scores across the 10-fold runs (in just the training data). The results of training are summarized in

Figures 4 and 5. Figure 4 shows the multiple correlation for each feature selection threshold,

modeling approach, and set of hyperparameters (dots) and the average across all

hyperparameters (bars). Figure 5 shows the RMSE for each combination of feature selection

threshold and modeling approach; the RMSE for only the best hyperparameters (per feature

selection threshold and modeling approach) are shown for readability’s sake7.

As seen in Figure 4, predictive accuracy for each outcome was moderate and varied

considerably across approaches and hyperparameter specifications. Using R to evaluate

performance, the best-performing model for depression was random forests with accounts that

have at least four followers (R = .22; RMSE = 0.94); for anxiety, supervised PCA with accounts

that have at least three followers (R = .29; RMSE = 2.32); for post-traumatic stress, random forests with accounts that have at least five followers (R = .25; RMSE = 0.28); and for anger,

supervised PCA with accounts that have at least five followers (R = .20; RMSE = 2.44). Using

RMSE to evaluate performance, the best-performing model was random forests with at least four

7Under certain hyperparameters, relaxed LASSO resulted in RMSEs in the hundreds, rendering plots of RMSEs from all models difficult to read. Predicting Mental Health from Followed Accounts 25

followers for depression (RMSE = 0.94; R = .22), anxiety (RMSE = 0.94; R = .20), and post- traumatic stress (RMSE = 0.27; R = .17), and for anger it was random forests with at least three followers (RMSE = 0.83; R = .13). Random forests thus had the lowest RMSEs across the board, and as depicted in Figure 4 it had among the highest Rs. Random forests was also robust across hyperparameter specifications, whereas some of the other modeling approaches were more sensitive to which hyperparameters were used (see Figure 4). For these reasons, we considered random forests the strongest contender by quantitative metrics.

Evaluating interpretability. Our second major criterion for model evaluation was interpretability. However, when we inspected which features were important to the different models we trained and evaluated, we saw no clear themes. As such, interpretability had basically no impact on our model selection decision (see Supplement for more details on intepretability; see Supplemental Tables S1 for followed accounts’ importance scores for selected random forests models and zero-order correlations with outcome variables).

Model Selection. Interpretability thus differed so little between approaches that it made little impact on our model selection decision, and we focused instead on the quantitative metrics reviewed above. We selected random forests for all four outcomes, because it had the lowest

RMSEs and had among the highest Rs; it also tended to be robust across hyperparameter specifications. We selected a follower threshold of five for depression, anxiety, and post- traumatic stress and a threshold of four for anger based on Model Rs, RMSEs, and robustness to hyperparameter specifications. Hyperparameters for the selected models were strictly based on lowest RMSE; the best hyperparameters for all four models happened to be the same. We then wrote an interim preregistration to document our model selection decisions, saved out the best Predicting Mental Health from Followed Accounts 26

performing selected models and non-selected models, and prepared to evaluate them in the

holdout data.

Model Testing

As planned in the initial pre-registered protocol, we evaluated both selected and non-

selected models in the holdout data. For our central research question, estimating how well

mental health can be predicted by followed accounts, we found that the selected models achieved

moderate, nontrivial accuracy for all four outcomes. For depression, the correlation between

predicted and observed score was R = .24, for anxiety it was R = .20, for post-traumatic stress it

was R = .19, and for anger it was R = .23. Figure 6 shows these estimates.

To aid in interpretation, Figure 6 also shows two relevant estimates from prior work to

serve as comparative benchmarks: the predictive accuracies for well-being and neuroticism from

Kosinski and colleagues’ (2013) paper predicting psychological constructs from Facebook like- ties. As seen in Figure 6, the present estimates are between these two prior estimates, suggesting that twitter friends predict mental health about as well as Facebook likes predict related constructs.

The correlations from both the selected and non-selected models are shown in Figure 7.

This allows us to evaluate how effective the model-selection process was in picking the best- performing model. The selected model out-performed the eleven non-selected models for anger and post-traumatic stress, was second best for depression, and fourth best for anxiety. When one or more non-selected models outperformed the selected ones, it was by a relatively small margin, but the lowest-performing non-selected models were substantially worse than the selected ones. Predicting Mental Health from Followed Accounts 27

To summarize, the results suggest that mental health can be predicted from followed

accounts with a moderate but appreciable degree of accuracy in held-out data. Random forests

generally performed well, despite the importance scores being difficult to interpret.

Exploratory Follow-up Analyses

After completing the pre-registered analyses, we completed several follow-up analyses to further explore and understand the data. In one set of analyses, we explored the specificity of prediction: were followed-account based prediction scores specific to each domain, or did they predict common variance in general psychopathology? In second set of analyses, prompted by growing public awareness of algorithmic bias in machine-learning applications, we examined the

extent to which the models demonstrated predictive bias with respect to gender and

race/ethnicity.

Specificity versus generality of predictive scores. Research on the structure of

psychopathology has shown that disorders can be modeled with a higher-order structure, comprising broad domains like internalizing and externalizing as well as an overarching general psychopathology factor (e.g., Lahey et al., 2012; Tackett et al., 2013). In our own data the mental health scales were positively intercorrelated, with correlations in the training data ranging from

.57 between post-traumatic stress and anger to .77 between anxiety and depression. We therefore wondered how much predictive performance was based on predicting specific features of each mental health construct, versus nonspecific features shared across them? To help answer this, we regressed each observed mental health variable on all four predicted scores simultaneously

(within the test data). Specificity would be demonstrated by a significant slope for the matching predicted score. We observed evidence of specificity for anger (β =.24, p = .020), but effects for Predicting Mental Health from Followed Accounts 28

depression (β =.17, p = .190), anxiety (β =.11, p = .447), and post-traumatic stress (β =.04, p =

.725) were not significant. This suggests that followed-account based predictions for anger

captured unique features of anger. By contrast, followed-account based predictions for

depression, anxiety, and post-traumatic stress may have only captured common features of a

general psychopathology or internalizing factor, or specific features may have been too weak to

detect in this data.

Predictive bias. Researchers and the general public are increasingly paying attention to

the potential for bias in prediction algorithms (Mullainathan, 2019). Biases can be introduced

into algorithms even without the knowledge or intent of their creators (such as when they are

embedded in training data), and we were interested in whether the prediction models we

developed might be biased. We tested for predictive bias using moderated multiple regression, a

standard approach in testing and selection research (Sackett et al., 2018).

Predictive bias for gender. To test for gender bias, we regressed each observed mental

health outcome variable on its corresponding predicted scores, a contrast code for the

participant’s self-reported gender, and their interaction. A significant main effect of gender or an

interaction between gender and predicted score would indicate that the regression lines for men

and women are different, indicating the presence of bias (i.e., that men and women who the

model predicts to have the same outcomes actually have different outcomes). We first tested this

in the holdout data (nmen = 141; nwomen = 81) to be consistent with the out-of-sample testing results, and then also in the combined training and holdout data to increase the sample size (nmen

= 424; nwomen = 232). Predicting Mental Health from Followed Accounts 29

Figure 8 shows the relation between predicted and observed scores for men and women

in the holdout data and combined data, and the results of the corresponding regression models

are shown in Table 3. Starting with depression, the main effect of gender was significant in the

holdout data for depression (b = 0.37, β = .40, 95% CI [.12, .68], p = .005), suggesting that women and men with the same predicted scores will differ in observed depression by .40 standard deviation units, with women being higher. However, this effect was small and indistinguishable from zero in the combined data (b = 0.03, β = .03, 95% CI [-.08, .15], p =

.592).

For anxiety, the main effect of gender was significant in the holdout data (b = 0.50, β =

.55, 95% CI [.27, .83], p < .001), suggesting that women and men with the same predicted scores differ by .55 standard deviation units, with women being higher. This effect was smaller and indistinguishable from zero in the combined data however (b = 0.08, β = .09, 95% CI [-.04, .21], p = .175). The interaction term was not significant in the holdout data (b = 0.22, β = .02, 95% CI

[-.25, .30]. p = .876) but it was significant and moderate in size in the combined data (b = -1.28,

β = -.22, 95% CI [-.34, -.10], p < .001); the latter suggests that the standardized predictive accuracy slope was weaker for women than it was for men, indicating a gender difference in how well the predicted scores can distinguish high and low anxiety, which can be seen in Figure 8.

For post-traumatic stress, the main effect of gender was significant when analyzing the holdout data alone (b = 0.15, β = .56, 95% CI [.28, .85], p < .001) and in the combined data (b =

.04, β = .14, 95% CI [.02, .25], p = .027), suggesting that women and men with the same predicted scores will differ in observed post-traumatic stress, with women higher either by just over half or just over one-tenth of a standard deviation unit. Predicting Mental Health from Followed Accounts 30

For anger, main effects of gender and the gender by prediction interactions were small

and not significant in the holdout data and in the combined holdout and training data.

Going by significance, these results provide mixed evidence of gender bias in predictions

of depression and anxiety, consistent evidence of bias such that women’s post-traumatic stress is systematically under-estimated, and no evidence of bias in gender bias in predictions of anger.

However, the confidence intervals for the nonsignificant effects often included nontrivial amounts of bias (see Table 3), so lack of significance should not be interpreted as evidence that predictions were unbiased.

Predictive bias for race and ethnicity. We next tested for bias as a function of racial and ethnic identification. Participants indicated race (White, nholdout = 171, ncombined = 515; Asian,

nholdout = 30, ncombined = 85; Black or African American, nholdout = 15, ncombined = 44; American

Indian or Alaska Native, nholdout = 5, ncombined = 13; Hawaiian or other Pacific Islander, nholdout = 2,

8 ncombined = 15; Other, nholdout = 12) and ethnicity (Hispanic/Latino, nholdout =24, ncombined = 68; Not

Hispanic/Latino, nholdout = 198, ncombined = 590) separately. Because of small subsample sizes, we

9 collapsed the race categories into White (nholdout = 161, ncombined = 490) vs. non-White (nholdout =

61, ncombined = 167), something we acknowledge raises interpretive limitations. We examined

racial majorities (White) vs. minorities (non-White), ethnic majorities (not Hispanic/Latino) vs. minorities (Hispanic/Latino), and racial/ethnic majorities (White and not Hispanic/Latino; nholdout

= 147, ncombined = 446) vs. minorities (either non-White or Hispanic/Latino; nholdout = 75, ncombined

= 211).

8 Participants could select more than one option, so these cell n’s don’t sum to the total sample sizes. 9Non-White includes multiracial participants who indicated White as one of multiple racial identities. Predicting Mental Health from Followed Accounts 31

The association between predicted and observed scores across race, ethnicity, and race/ethnicity are shown in Figure 9, 10, and 11 respectively; results from moderated regressions with each are shown in Tables 4, 5, and 6, respectively. There appeared to be little bias across race (see Table 4 & Figure 9), ethnicity (see Table 5 & Figure 10), or race/ethnicity (combined; see Table 6 & Figure 11) using either the holdout data (on its own) or the combined holdout and training data. However, as with gender, confidence intervals for these analyses were quite wide and generally consistent with anywhere from a moderately-sized effect in either direction to no effect (see Tables 4 – 6), highlighting that the present results are inconclusive (rather than consistent with no bias).

Discussion

Our central aim was to understand how mental health is reflected in network connections in social media. We did so by estimating how well individual differences in mental health can be predicted from the accounts that people follow on Twitter. The results showed that it is possible to do so with moderate accuracy. We selected models in training data using 10-fold cross- validation, and then we estimated the models’ performance in new data that was kept completely separate from training, where model Rs of approximately .2 were observed. Although these models were somewhat accurate, when we examined which features were weighted as important for prediction, we did not find them to be readily interpretable with respect to prior theories or broad themes of the mental health constructs we predicted.

Mental Health and the Curation of Social Media Experiences

This study demonstrated that mental health is reflected in the accounts people follow to at least a small extent. The design and data alone cannot support strong causal inferences. One Predicting Mental Health from Followed Accounts 32

interpretation that we find plausible is that the results reflect selection processes. The list of

accounts that a Twitter user follows is a product of decisions made by the user. Those decisions

are the primary way that a user creates their personalized experience on the platform: when a

user browses Twitter, a majority of what they see is content from the accounts they previously

decided to follow. It is thus possible that different mental health symptoms affect the kind of

experience people want to have on Twitter, thus impacting their followed-account list. The

straightforward ways this could play-out that we discussed at the outset of this paper – e.g., face-

valid information-seeking via mental health support or advocacy groups, homophily (following

others who display similar mental health symptoms), or emotion regulation strategies – did not

seem to be supported. Instead, the accounts with high importance scores were celebrities, sports

figures, media outlets, and other people and entities from popular culture. In some rare instances,

these hinted towards homophily or a similar mechanism: for example, one account with a high

importance score for depression was emo-rapper Lil Peep, who was open about his struggles

with depression before his untimely death. More often, however, the connections were even less

obvious, and few patterns emerged across the variety of highly important predictors. Other

approaches, such as qualitative interviews or experiments that manipulate different account

features, may be more promising in the future for shedding light on this question.

Causality in the other direction is also plausible: perhaps following certain accounts affects users’ mental health. For example, accounts that frequently tweet depressing or angry content might elicit depression or anger in their followers in a way that endures past a single

browsing session. The two causal directions are not mutually exclusive and could reflect person-

situation transactional processes, whereby individual differences in mental health lead to online

experiences that then reinforce the pre-existing individual differences, mirroring longitudinal Predicting Mental Health from Followed Accounts 33

findings of such reciprocal person-environment transactions in personality development (Le,

Donnellan, & Conger, 2013; Roberts, Caspi, & Moffitt, 2003). Future longitudinal studies could help elucidate whether similar processes occur with mental health and social media use.

In a set of exploratory analyses, we probed the extent to which the predicted scores were capturing specific versus general features of psychopathology. The followed-account scores that were constructed to predict anger captured variance that was unique to that construct; but for depression, anxiety, and post-traumatic stress, we did not see evidence of specificity. One possible explanation is that followed accounts primarily capture a more general psychopathology factor (Lahey et al., 2012; Tackett et al., 2013) but anger also has distinct features that are also relevant. Another possibility is that followed accounts can distinguish between internalizing and externalizing symptoms, and anger appeared to show specificity since it was the only externalizing symptom we examined. The present work cannot distinguish between these possibilities, but future work including more externalizing symptoms may be helpful in differentiating between these and other possibilities.

Relevance for Applications

What does this degree of accuracy – a correlation between predicted and observed scores of approximately .2 – mean for potential applications? First, it’s worth noting that our conclusions are limited to twitter users that meet our minimal activity thresholds (25 tweets, 25 followers, 25 followed accounts), so they may not be applicable to twitter users as a whole, including truly passive users that might follow accounts but not tweet (at all). Even among the users that do meet these thresholds, we do not believe these models are accurate enough for use in individual-level diagnostic applications, as they would provide a highly uncertain, error-prone Predicting Mental Health from Followed Accounts 34

estimate of any single individual’s mental health status. At best, a correlation of that size might

be useful in applications that rely on aggregates of large amounts of data. For example, this

approach could be applied to population mental health research to characterize trends in accounts

from the same region or with other features in common.

A caveat is that the goal of the present study was to focus on followed accounts – not to

maximize predictive power by using all available information. It may be possible to achieve

greater predictive accuracy by integrating analyses of followed accounts with complementary

approaches that use tweet language and other data. In addition, more advanced approaches that

would be tractable in larger datasets, such as training vector embeddings for followed accounts

(analogous to word2vec embeddings; Mikolov, Chen, Corrado, & Dean, 2006), could help

increase accuracy and should be investigated in the future. Likewise, it may be possible to

leverage findings from recent work identifying clusters or communities of high in-degree

accounts (Motamedi et al., 2018, 2020) to identify important accounts or calculate aggregate

community scores, as opposed to the bottom-up approaches to filtering and aggregating accounts used in this study. Future work can examine the extent to which these different modifications to our procedure maximize predictive accuracy.

Another important caveat to consider with respect to possible applications of this work is that this approach is more suited to studying more stable individual differences in mental health rather than dynamic, within-person fluctuations or responses to specific events. This was an aim that was reflected in the design of this study – for example, the wording of the mental health measures covered a broader time span than just the moment of data collection. Followed accounts are likely to be a less dynamic cue than other cues available on social media (e.g., Predicting Mental Health from Followed Accounts 35

language used in posts). This is not to say that network ties are unrelated to dynamic states

entirely, and that possibility could be explored with different methods. For example, rather than

focusing on whether accounts are followed or not, researchers could use engagements with

accounts (such as liking or retweeting) to predict momentary reports of mental health

symptomatology, or they could track users over time to measure new follows added after an

event. The present work can only speak indirectly to these possibilities, but exploring approaches

that dynamically link network ties to psychological states is a promising future direction for this

work.

The present results, and the possibility of even higher predictive accuracy or greater

temporal resolution with more sophisticated methods, raise important questions about privacy.

The input to the prediction algorithm developed in this paper – a list of followed accounts – is

publicly available for every Twitter user by default, and it is only hidden if a user sets their entire

account to “private.” It is unlikely that users have considered how this information could be used

to infer their mental health status or other sensitive topics. Indeed, even people who deliberately

refrain from self-disclosing about their mental health online may be inadvertently providing

information that could be the basis of algorithmic estimates, a possibility highlighted by the often

less-than-straightforward accounts that the algorithms appeared to use in their predictions. With time, technological advancement, and research, these predictions might become even more accurate using similarly non-obvious cues in their predictions, though we cannot say how much

more. In this way, the present findings are relevant for individuals to make informed decisions

about whether and how to use social media. Likewise, they speak to broader issues of ethics,

policy, and technology regulation at a systemic level (e.g., Tufekci, 2019). The possibility of a

business, government, or other organization putting their considerable resources into using Predicting Mental Health from Followed Accounts 36

public social media data to construct profiles of users’ mental health may have useful applications in public health research, but it simultaneously raises concerns about how that may be misused. Our results suggest that accuracy is too low for such utopic or dystopic ends presently, but they highlight the possibilities, and the need for in-depth discussions about data, computation, privacy, and ethics.

Predictive Bias

Predictive algorithms can be biased with respect to gender, race, ethnicity, and other demographics, which can create and reinforce social inequality when those algorithms are used to conduct basic research or in applications (Mullainathan, 2019). When we probed for evidence of predictive bias for gender, we found somewhat inconclusive results. There was more of a pattern of bias in the smaller holdout dataset than in the combined data. In the holdout data, women showed higher observed levels of internalizing symptoms (depression, anxiety, and post- traumatic stress) than men with the same model-predicted scores. In the larger combined dataset, only post-traumatic stress showed this effect, and to a much smaller magnitude. Confidence bands in both datasets often ranged from no effect to moderately large effects in one or both directions. All together, we took this as suggestive but inconclusive evidence that the models may have been biased. If the pattern is not spurious, one possible reason may stem from the fact that the sample had more men than women. If men’s and women’s mental health status is associated with which accounts they follow, but the specific accounts vary systematically by gender, then overrepresentation of men in the training data could have resulted in overrepresentation of their followed accounts in the algorithm. Predicting Mental Health from Followed Accounts 37

We found little to no evidence of bias with respect to race or ethnicity. The relative lack

of bias is initially reassuring, but it should be considered alongside two caveats. First, it is

possible that there is some amount of bias that we were unable to detect with the numbers of

racial and ethnic minority participants in this dataset. This possibility is highlighted by the

confidence bands, which (like gender) tended to range from no effect to moderately large effects.

Second, it is possible that collapsing into White vs. non-White is obscuring algorithmic bias that

is specific to various racial and ethnic identities. Our decision to combine minority racial and

ethnic groups was based on the limitations of the available data, and it necessarily collapses

across many substantively important differences.

In any future work to extend or apply the followed-accounts prediction method we

present in this study, we strongly encourage researchers to attend carefully to the potential for

algorithmic bias. We also hope that this work helps demonstrate how well-established psychometric methods for studying predictive bias can be integrated with modern machine learning methods.

Considering Generalizability At Two Levels of Abstraction

To what extent would the conclusions of this study apply in other settings? There are at least two ways to consider generalizability in this context. The first form of generalizability is a more abstract one, associated with the approach. Would it be possible to obtain similar predictive accuracy by applying this modeling approach to new data drawn from a different population, context, or time, developing a culturally-tuned algorithm for that new setting? We believe the results are likely to be generalizable in this sense. We used cross-validation and out-of-sample testing to safeguard against capitalizing on chance in estimates of accuracy. If the general Predicting Mental Health from Followed Accounts 38

principle holds that Twitter following decisions are associated with mental health, we expect that

it would be possible to create predictive algorithms in a similar way in other settings.

A second, more specific way to think about generalizability is whether the particular

prediction algorithms we trained in this study would generalize to entirely new samples from

different settings. This is a much higher bar, and we are more skeptical that the models trained in

this study would meet it. The fact that the models were not interpretable suggests that they may

not have been picking up on theoretically central, universally relevant features of

psychopathology. Instead, they might be picking up on real, but potentially fleeting, links

between psychopathology and Twitter behavior. By analogy, consider differences between a

self-report item like, “I frequently feel sad,” and an item like, “I frequently listen to Joy

Division.” The first item would probably be endorsed by depressed people in a wide variety of

contexts, populations, and historical eras. The second item, however, is deeply culturally

embedded – it if is reflective of depression at all, that association would be highly specific to a

particular group of people at a particular cultural moment. Even setting aside that Twitter itself is

a product of a specific cultural and historical context, our inspection of the followed accounts

suggests that they are not reflecting enduring features of psychopathology in a direct, face-valid sense. The associations with particular accounts were real in this data, but as cultural trends change, they may fade while new ones emerge.

Our results cannot speak to this form of generalizability directly, and it would require a new sample and different design to effectively speak to this. One possibility would be to collect several very different samples (e.g., sampled in different years), train models with each, and then evaluate cross-sample predictive accuracy. This would be a much stricter test of accuracy, but it Predicting Mental Health from Followed Accounts 39

would provide better justification for using model-derived scores in research or application. Such an approach might also be useful for distinguishing which accounts or features of accounts are predictive because of fleeting cultural factors, and which ones reflect stable and cross- contextually consistent associations with psychopathology.

Conclusion

We found that the accounts people follow on Twitter are associated with individual differences in depression, anxiety, post-traumatic stress, and anger. This raises important new theoretical questions about how mental health and social media use are intertwined. It also raises questions about what Twitter users may be revealing in their public social media data and how that could be used by researchers, governments, business, and other actors. Predictive accuracy was modest, suggesting practical limits for now. But as algorithms become more sophisticated and more personal data becomes available, more accurate predictions may become possible in the future, raising the stakes for how this approach could be used for good or for ill.

Predicting Mental Health from Followed Accounts 40

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Contributions Contributed to conception and design: CKC, SS, RR, MZ Contributed to acquisition of data: CKC, SS, RR Contributed to analysis and interpretation of data: CKC, SS, RR, MZ Drafted and/or revised the article: CKC, SS, RR, MZ Approved the submitted version for publication: CKC, SS, RR, MZ

Funding Information National Institute of Mental Health under Grant # 1 R21 MH106879-01: SS, RR

National Science Foundation under NSF Grant # 1551817: SS, RR

Competing Interests No competing interests were identified.

Data accessibility statement The data for this study consists of friend lists for Twitter accounts linked to the users’ confidential self-reports of mental health symptoms. Because Twitter friend lists are public and include unique combinations, it is impossible to safely de-identify the data. Posting it in an unrestricted open repository would unavoidably expose the subjects’ confidential mental health reports in a way that is easy to link to their identity. In our consent process we obtained subjects’ permission to share their data with researchers who sign a data use agreement (agreeing to protect subjects’ confidentiality) and who obtain a valid IRB protocol from their institution. We will share the data on request with researchers who meet these qualifications. We have made analysis code and study registrations (including pre-registered Stage 1 protocol, model selection registration, and an addendum) available at https://osf.io/54qdm/ (also referenced in the author note; links to specific elements are provided throughout the text).

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Table 1. Sample Size from Each Recruitment Method

Recruitment Method NPrescreen NEligible NFinal UOHSP 291 87 80 mTurk 65 39 37 Twitter Ads + reddit 955 591 505 Reddit 52 45 39 Total: 1363 762 661 UOHSP = University of Oregon Human Subjects Pool; mTurk = Amazon’s mechanical Turk; Twitter Ads + reddit = participants recruited through promoted tweets, includes participants incidentally recruited from Reddit. Reddit = participants intentionally recruited through Reddit’s R/beermoney. NPrescreen = all participants who completed the survey before manual screening was completed. Neligible = participants who met inclusion criteria. NFinal = all participants who met inclusion criteria and we were able to get API friends data for.

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Table 2. Descriptive statistics. N M SD Min Max Split-half r Depression 658 2.06 0.94 1 5 .95 Anxiety 658 2.20 0.94 1 5 .94 Post-Traumatic Stress 658 0.33 0.27 0 1 .81 anger 658 2.28 0.82 1 5 .84 Split-half r corresponds to the mean split-half reliability across all possible combinations of items, calculated by the splitHalf() function from the psych library in R.

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Table 3. Predictive Bias for Gender Holdout Data Training and Holdout Combined

b β 95% CI p b β 95% CI p

Depression predicted 2.16 .17 .04 .31 .013 4.44 .70 .64 .76 < .001

gender 0.37 .40 .12 .68 .005 0.03 .03 -.08 .15 .592

predicted X gender 1.10 .09 -.18 .36 .525 -0.16 -.03 -.14 .09 .652

Anxiety predicted 1.09 .11 -.03 .25 .119 3.78 .65 .59 .71 < .001 gender 0.50 .55 .27 .83 < .001 0.08 .09 -.04 .21 .175

predicted X gender 0.22 .02 -.25 .30 .876 -1.28 -.22 -.34 -.10 < .001

Post-Traumatic Stress predicted 0.82 .06 -.08 .20 .369 4.09 .67 .61 .73 < .001 gender 0.15 .56 .28 .85 < .001 0.04 .13 .02 .25 .027

predicted X gender 1.80 .14 -.14 .42 .322 -0.67 -.11 -.22 .00 .058

Anger predicted 3.61 .21 .08 .35 .002 5.00 .69 .63 .75 < .001 gender 0.11 .13 -.15 .42 .358 -0.02 -.02 -.14 .10 .759

predicted X gender 2.22 .13 -.14 .40 .346 -0.02 .00 -.12 .12 .964

Note. b refers to the unstandardized estimate; β refers to the standardized estimate; 95% CI refers to the 95% confidence interval around β. In these analyses, gender corresponds to men (nholdout = 141; ncombined = 424) vs. women (nholdout = 81; ncombined = 232); gender was contrast coded (men = -0.5; women = 0.5) so positive values for gender indicate a higher intercept for women (relative to men) and positive values for the predicted by gender interaction indicate a steeper slope for women (relative to men).

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Table 4. Predictive Bias for Race Holdout Data Training and Holdout Combined

b β 95% CI p b β 95% CI p

Depression predicted 3.06 .24 .09 .40 .002 4.51 .71 .64 .78 < .001

race 0.00 .00 -.29 .29 .980 -0.01 -.01 -.13 .12 .908

predicted X race 0.29 .02 -.28 .33 .880 0.10 .02 -.12 .15 .823

Anxiety predicted 2.24 .22 .08 .36 .002 3.86 .66 .59 .73 < .001 race -0.16 -.18 -.47 .11 .222 -0.06 -.07 -.20 .07 .332

predicted X race 1.03 .10 -.18 .38 .469 0.08 .01 -.13 .16 .851

Post-Traumatic Stress predicted 2.74 .21 .06 .36 .005 4.41 .72 .65 .80 < .001 race 0.06 .22 -.07 .51 .144 0.02 .06 -.06 .19 .334

predicted X race 1.60 .13 -.17 .43 .410 0.42 .07 -.08 .22 .373

Anger predicted 3.98 .23 .10 .37 .001 4.97 .69 .63 .75 < .001 race -0.01 -.01 -.30 .28 .954 -0.03 -.03 -.16 .09 .598

predicted X race 0.55 .03 -.24 .31 .814 -0.10 -.01 -.14 .11 .827

Note. b refers to the unstandardized estimate; β refers to the standardized estimate; 95% CI refers to the 95% confidence interval around β. In these analyses, race was collapsed into White (nholdout = 161, ncombined = 490) vs. non-White (nholdout = 61, ncombined = 167) categories due to small sample sizes for some racial identities; race was contrast coded (White = -0.5; non-White = 0.5) so positive values for race indicate a higher intercept for non-White participants (relative to White participants) and positive values for the predicted by race interaction indicate a steeper slope for non-White participants (relative to White participants).

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Table 5. Predictive Bias for Ethnicity Holdout Data Training and Holdout Combined

b β 95% CI p b β 95% CI p

Depression predicted 3.30 .26 .01 .51 .039 4.66 .74 .64 .84 < .001

ethnicity 0.08 .08 -.33 .50 .693 0.02 .02 -.16 .20 .841

predicted X ethnicity 0.72 .06 -.44 .56 .821 0.43 .07 -.13 .27 .502

Anxiety predicted 2.67 .27 -.03 .57 .082 4.45 .76 .64 .89 < .001 ethnicity 0.16 .18 -.26 .62 .422 0.11 .12 -.07 .31 .228

predicted X ethnicity 1.33 .13 -.47 .73 .663 1.32 .23 -.02 .48 .074

Post-Traumatic Stress predicted 3.50 .28 .00 .55 .051 4.58 .75 .65 .85 < .001 ethnicity 0.09 .34 -.10 .77 .126 0.03 .11 -.07 .29 .235

predicted X ethnicity 2.41 .19 -.36 .74 .499 0.77 .13 -.08 .33 .226

Anger predicted 2.89 .17 -.11 .45 .233 5.43 .75 .65 .86 < .001 ethnicity -0.13 -.17 -.59 .26 .440 -0.01 -.01 -.20 .17 .875

predicted X ethnicity -2.19 -.13 -.69 .43 .651 0.99 .14 -.08 .35 .212

Note. b refers to the unstandardized estimate; β refers to the standardized estimate; 95% CI refers to the 95% confidence interval around β. In these analyses, ethnicity corresponds to identifying as Hispanic/Latino (nholdout = 24, ncombined = 68) or not (nholdout = 61, ncombined = 198); ethnicity was contrast coded (Not Hispanic/Latino = -0.5; Hispanic/Latino = 0.5) so positive values for ethnicity indicate a higher intercept for Hispanic/Latino participants (relative to Non-Hispanic/Latino participants) and positive values for the predicted by ethnicity interaction indicate a steeper slope for Hispanic/Latino participants (relative to Non-Hispanic/Latino participants). Predicting Mental Health from Followed Accounts 53

Table 6. Predictive Bias for Race/Ethnicity Holdout Data Training and Holdout Combined

b β 95% CI p b β 95% CI p

Depression predicted 3.15 .25 .11 .39 .001 4.55 .72 .66 .78 < .001

race/ethnicity 0.01 .01 -.26 .29 .924 0.01 .01 -.10 .13 .848

predicted X race/ethnicity 0.82 .07 -.22 .35 .649 0.29 .05 -.08 .17 .460

Anxiety predicted 2.23 .22 .09 .36 .001 3.96 .68 .61 .75 < .001 race/ethnicity -0.14 -.15 -.43 .12 .271 -0.03 -.03 -.15 .10 .652

predicted X race/ethnicity 1.38 .14 -.14 .41 .323 0.46 .08 -.05 .21 .243

Post-Traumatic Stress predicted 2.88 .23 .08 .37 .002 4.42 .72 .66 .79 < .001 race/ethnicity 0.05 .19 -.08 .47 .173 0.02 .06 -.06 .18 .322

predicted X race/ethnicity 2.41 .19 -.10 .48 .195 0.57 .09 -.04 .23 .171

Anger predicted 3.92 .23 .10 .36 .001 5.03 .70 .64 .76 < .001 race/ethnicity -0.05 -.06 -.33 .22 .691 -0.03 -.03 -.15 .09 .594

predicted X race/ethnicity 0.30 .02 -.25 .28 .897 0.18 .03 -.09 .14 .677

Note. b refers to the unstandardized estimate; β refers to the standardized estimate. These analyses compared racial/ethnic majority (White and not Hispanic/Latino; nholdout = 147, ncombined = 446) vs. minority participants (either non-White or Hispanic/Latino; nholdout = 75, ncombined = 211); racial/ethnic majority/minority identity was contrast coded (racial/ethnic majority = -0.5; racial/ethnic minority = 0.5) so positive values for race/ethnicity indicate a higher intercept for racial/ethnic minority participants (relative to racial/ethnic majority participants) and positive values for the predicted by race/ethnicity interaction indicate a steeper slope for racial/ethnic minority participants (relative to racial/ethnic majority participants). Predicting Mental Health from Followed Accounts 54

Figure 1a. Overview of Data Analysis Workflow

Figure 1b. Overview of Model Training Workflow with Details about Modelling Approaches. Predicting Mental Health from Followed Accounts 55

Figure 1c. Overview of Model Testing Workflow.

Note. jall = number of unique friends in data. j3+ = number of friends with 3 or more followers in the data; j4+ = number of friends with 4 or more followers in the data; J5+ = number of friends with 5 or more followers in the data. Jselected = friends selected for testing (based on training). MH variable = mental health variable and refers to depression, anxiety, anger, and post-traumatic stress. PCA = principal components analysis. sPCs = supervised principal components. PCs = (unsupervised) principal components. Model performance during training will be determined via k-fold cross-validation (k = 10). In Figure 1c, the dashed box is unique to two-step PCR; this would not be part of the workflow for the other three approaches. Predicting Mental Health from Followed Accounts 56

Figure 2a. Average Training Performance Predicting Tweet Sentiment from Friends in Initial (preliminary) Samples

Figure 2b. Average Training Performance Predicting Tweet Sentiment from Friends.

Predicting Mental Health from Followed Accounts 57

Note. Each dot represents the average multiple correlation (averaged across k-fold runs) for a model and set of hyperparameters. The bars represent the average across training runs with different hyperparameters. The dotted line at the righthand side of the graph is the split-half reliability for tweet sentiment.

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Figure 3. Density Distributions of Self-Reported Mental Health Scale Scores Note. PTS = post-traumatic stress.

Predicting Mental Health from Followed Accounts 59

Figure 4. R for Predicting Mental Health from Followed Accounts in Training Data. Note. Each dot represents the average multiple correlation (averaged across k-fold runs) for a model and set of hyperparameters. The bars represent the average across training runs with different hyperparameters. The dotted line at the righthand side of each panel corresponds to each scale’s split-half reliability. Predicting Mental Health from Followed Accounts 60

Figure 5. Lowest RMSEs for Predicting Mental Health from Followed Accounts in Training Data. Note. Each dot represents the average RMSE (averaged across k-fold runs) for a model and set of hyperparameters.

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Figure 6. Out-of-sample Accuracy for Selected Models vs. Estimates from Previous Work (Kosinski et al., 2013). Predicting Mental Health from Followed Accounts 62

Figure 7. Out-of-sample accuracy (R) for selected and non-selected models. Note. Asterisks indicate selected models. Predicting Mental Health from Followed Accounts 63

Figure 8. Accuracy for Men and Women in Holdout and Combined Data.

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Figure 9. Accuracy for Racial Majority vs. Minorities in Holdout and Combined Data. Note. Racial Majority = self-reported white for race; Racial Minority = self-reported any other option for race.

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Figure 10. Accuracy for Ethnic Majority vs. Minorities in Holdout and Combined Data. Predicting Mental Health from Followed Accounts 66

Figure 11. Accuracy for Racial/Ethnic Majority vs. Minorities in Holdout and Combined Data. Note. Racial/Ethnic Majority = self-reported white for race and ‘Not hispanic/latino’ for ethnicity; Racial/Ethnic Minority = self- reported any other option for race or self-reported white and ‘Hispanic/Latino’ for ethnicity. Predicting Mental Health from Followed Accounts: SUPPLEMENT 67

We examined the interpretability of all of the models, but focus on the (selected) random forest models in this document. The interpretability of these models was assessed by examining the importance scores of the various accounts alongside their zero-order correlations with the corresponding self-reports. The most correlated accounts are a good supplement to importance scores for three reason. First, the betas in relaxed LASSO, the importance scores in Supervised

PCA, and the betas in two-step PCR are all related to the covariance between the predictor and outcome; correlations thus provide a convenient comparison. Second, zero-order correlations have been used to make sense of predictive modeling results in prior work (e.g., Kosinski et al.,

2013). Third, they are signed (positive or negative), providing some indication of whether accounts are associated with higher or lower scores on the mental health variables.

Interpreting models predicting depression. The importance scores for predicting depression from the selected random forest model are shown alongside zero-order correlations in

Supplemental Table S1. For this particular model, the 10 most important accounts and their zero- order correlations with self-reported depression were (in order) ‘@mommymatter (a parenting blog; r = .07), ‘@JaidenAnimation’ (an animator and youtuber; r = .06), ‘@SanitySuburbia’ (a parenting/lifestyle blog; r = .11), ‘@BarackObama’ (former US president; r = .05), ‘@nicepeter’

(youtuber, creator ‘epic rap battles of history’; r = .08), two accounts that were not searchable at the time of data acquisition, ‘@Lilpeep’ (a rapper famous for an emo-style, known to suffer from depression and bipolar disorder; r = .12), ‘@RobLowe’ (an actor; r = .11), ‘@pennjillette’

(magician, entertainer; r = .00), and ‘@tomdelonge’ (rock artist; r = .03). Thematically, these accounts included two parenting blogs, one political account, and several prominent figures form music, TV, film, and youtube. Predicting Mental Health from Followed Accounts: SUPPLEMENT 68

Interpreting models predicting anxiety. The importance scores for predicting anxiety from the selected random forest model are shown alongside zero-order correlations in

Supplemental Table S1. The 10 most important accounts and their zero-order correlations with self-reported anxiety were (in order) ‘@VP44’ (archival account from Vice President Joe Biden; r = .02), ‘@rafflecopter’ (a sweepstakes service; r = .13), ‘@BillCorbet’ (a writer/actor best known for Mystery Science Theater; r = .10), ‘@BarackObama’ (former US president; r = .06),

‘@thatbaldchick’ (a lifestyle blog; r = .05), ‘@muse’ (a British alternative rock band ; r = .02),

‘@RuPaul’ (drag queen and reality tv star; r = .08), an account which was not searchable at the time of data acquisition, and ‘@neiltyson’ (astrophysicist Neil deGrasse Tyson; r = .00), and

‘@publichands’ (a political account tweeting about public lands in the US); these are shown in

Supplemental Table S1 along with the importance scores and zero-order correlations with all other accounts that met the threshold used by this model (at least 5 followers in the data).

Thematically, these top 10 accounts mostly consisted of figures from politics and media; it also included a single lifestyle blog and sweepstakes service.

Interpreting models predicting post-traumatic stress. The importance scores for predicting post-traumatic stress from the selected random forest model are shown alongside zero- order correlations in Supplemental Table S1. The 10 most important accounts (and their zero- order correlations with post-traumatic stress) in this model were ‘@BillNye’ (the science guy, a

TV host; r = .09), ‘@HIDEO_KOJIMA_EN’ (a videogame creator; r = .10), ‘@DwightHoward’

(a basketball player; r = -.02), ‘@iamwandasykes’ (comedian and actor Wanda Sykes; r = .12),

‘@TrevorProject’ (a suicide prevention and crisis intervention group for LGBTQ youth; r = .08),

‘@ajcampos01’ (a very popular account that appears to mostly post tech reviews, in Portuguese; r = .10), ‘@ThriftyJinxy’ (a lifestyle blog; r= .11), ‘@NOH8Campaign’ (a campaign started for Predicting Mental Health from Followed Accounts: SUPPLEMENT 69

LGBTQ rights, expanded to fight discrimination broadly; r = .13), ‘@DesiPerkins’ (a youtuber focused on makeup; r = .12), ‘@SanitySuburbia’ (a parenting/lifestyle blog; r = .14). Importance scores and zero-order correlations for these and the rest of the accounts that met the feature selection threshold of at least 5 followers in the data are shown in Supplemental Table S1.

Thematically, these highly important accounts included several celebrities, lifestyle blogs, and two LGBTQ advocacy organizations.

Interpreting models predicting anger. The importance scores for predicting anger from the selected random forest model are shown alongside zero-order correlations in Supplemental

Table S1; note that this model used a less strict filter (4 or more followers in the data) than the models for the other three variables (5 or more followers in the data), so there are more accounts with importance scores and correlations with anger shown in Supplemental Table S1. The 10 most important accounts (and their zero-order correlations with anger) in this model were

‘@Ridiculousness’ (an MTV show on viral videos hosted by Rob Dyrdek; r = .14),

‘@MsRebeccaBlack’ (a youtuber and singer; r = .13), ‘@warriors’ (the official account for

NBA’s Golden State Warriors; r = .04), ‘@nojumper’ (a hip-hop podcast; r = .08),

‘@Sodapoppintv’ (a videogame streamer), ‘@GillianA’ (account for actress Gillian Anderson; r

= .13), ‘@pcgamer’ (a computer game news source; r = .08), ‘@RealDDP’ (a retired professional wrestler; r = -.10), ‘@Terraria_Logic’ (a videogame; r = .08), ‘@1jordanbell’ (NBA player; r = .11). Importance scores and zero-order correlations for these and the rest of the accounts that met the feature selection threshold of at least 4 followers in the data are shown in

Supplemental Table S1. Thematically, videogame-related content was the most represented, followed by athletes, and then other media (e.g., music, acting, etc.). Predicting Mental Health from Followed Accounts: SUPPLEMENT 70

Supplemental Table S1. Importance Scores from Selected Models and Zero-order Correlations between Self-Reported Mental Health and Followed Accounts Note. There are many blank entries for all but anger at the bottom of the table; this arises from the fact that the selected model for anger used a less strict filter for accounts (4 or more followers in the data) than the others (5 or more followers in the data).

Depression Anxiety Post-Traumatic Stress Anger Account name Importance r Importance r Importance r Importance r PatMcAfeeShow 0.001 -0.138 0.000 -0.104 0.000 -0.046 0.000 -0.061 SportsCenter 0.000 -0.126 0.001 -0.104 0.000 -0.083 0.000 -0.067 espn 0.000 -0.121 0.000 -0.115 0.000 -0.058 0.002 -0.099 jimrome 0.000 -0.116 0.000 -0.130 0.001 -0.096 0.000 -0.062 BarstoolBigCat 0.006 -0.115 0.000 -0.090 0.000 -0.098 0.000 -0.079 Rotoworld_FB 0.013 -0.115 0.000 -0.123 0.001 -0.125 0.000 -0.105 SoleCollector 0.000 -0.106 0.016 -0.083 0.000 -0.096 0.000 -0.084 Ken_Rosenthal 0.012 -0.106 0.012 -0.119 0.000 -0.045 0.003 -0.091 Kaepernick7 0.000 -0.105 0.000 -0.077 0.000 -0.066 0.000 -0.038 mortreport 0.002 -0.105 0.000 -0.114 0.001 -0.114 0.002 -0.013 MelKiperESPN 0.003 -0.103 0.000 -0.138 0.000 -0.092 0.000 -0.045 videogamedeals 0.000 -0.100 0.000 -0.081 0.000 -0.040 0.000 -0.022 newbelgium 0.001 -0.098 0.009 -0.111 0.000 -0.096 0.000 -0.063 garyvee 0.000 -0.097 0.000 -0.065 0.000 -0.065 0.000 -0.022 PFTCommenter 0.000 -0.096 0.002 -0.085 0.001 -0.092 0.003 -0.081 KrisBryant_23 0.000 -0.096 0.003 -0.121 0.001 -0.126 0.000 -0.055 id_1305995330 0.000 -0.095 0.019 -0.058 0.000 -0.065 0.000 -0.073 stoolpresidente 0.000 -0.095 0.000 -0.049 0.000 -0.078 0.000 -0.070 NFL 0.000 -0.094 0.000 -0.105 0.000 -0.064 0.000 -0.044 RobinhoodApp 0.000 -0.092 0.006 -0.062 0.000 -0.061 0.000 -0.068 verge 0.000 -0.092 0.000 -0.063 0.000 -0.068 0.000 -0.065 KingJames 0.001 -0.092 0.016 -0.079 0.001 -0.064 0.000 -0.052 Predicting Mental Health from Followed Accounts: SUPPLEMENT 71

JuddApatow 0.004 -0.091 0.000 -0.031 0.000 -0.027 0.000 -0.049 TomiLahren 0.000 -0.091 0.002 -0.095 0.000 -0.061 0.000 -0.102 omgthatspunny 0.001 -0.091 0.000 -0.075 0.000 -0.090 0.000 -0.041 McShay13 0.000 -0.090 0.000 -0.116 0.000 -0.098 0.000 -0.022 StuartScott 0.000 -0.089 0.000 -0.094 0.001 -0.104 0.000 -0.058 ABFalecbaldwin 0.000 -0.089 0.000 -0.058 0.000 -0.096 0.000 -0.063 majornelson 0.000 -0.088 0.000 -0.047 0.000 -0.081 0.000 -0.027 LanceBass 0.000 -0.086 0.000 -0.046 0.000 -0.018 0.000 -0.079 BostonTweet 0.000 -0.086 0.000 -0.029 0.000 -0.057 0.000 -0.063 GoPro 0.000 -0.086 0.000 -0.056 0.000 -0.009 0.000 -0.020 ABCSharkTank 0.000 -0.085 0.001 -0.043 0.000 -0.083 0.000 -0.074 Medium 0.004 -0.084 0.000 -0.027 0.000 -0.055 0.005 -0.099 drewmagary 0.000 -0.084 0.006 -0.083 0.000 -0.096 0.000 -0.047 snopes 0.000 -0.084 0.000 -0.066 0.001 -0.041 0.000 -0.110 JohnClaytonNFL 0.004 -0.083 0.027 -0.104 0.000 -0.053 0.000 0.005 BlizzHeroes 0.003 -0.083 0.000 -0.028 0.001 -0.018 0.000 -0.031 Drake 0.008 -0.083 0.000 -0.029 0.000 -0.008 0.008 -0.042 NHLBlackhawks 0.000 -0.083 0.001 -0.080 0.000 -0.058 0.000 -0.048 LaurenConrad 0.000 -0.083 0.000 -0.010 0.000 -0.065 0.000 0.004 scottsflights 0.000 -0.082 0.003 -0.091 0.000 -0.047 0.004 -0.038 lootcrate 0.012 -0.082 0.000 -0.066 0.000 -0.052 0.000 -0.073 androidcentral 0.000 -0.081 0.004 -0.017 0.000 -0.069 0.000 0.031 DemSocialists 0.000 -0.081 0.000 -0.069 0.000 -0.065 0.000 -0.047 InternetHippo 0.000 -0.081 0.006 -0.063 0.000 -0.081 0.000 -0.120 NorthernlionLP 0.000 -0.080 0.000 -0.118 0.000 -0.025 0.002 -0.075 TheWalkingDead 0.004 -0.080 0.003 -0.072 0.000 -0.083 0.000 -0.060 Reds 0.000 -0.080 0.000 -0.067 0.000 -0.039 0.000 -0.074 LilTunechi 0.008 -0.080 0.013 -0.050 0.000 -0.063 0.002 -0.005 obj 0.002 -0.080 0.004 -0.085 0.000 -0.090 0.000 -0.062 TheFakeESPN 0.000 -0.079 0.010 -0.075 0.000 -0.051 0.000 -0.017 Predicting Mental Health from Followed Accounts: SUPPLEMENT 72

gucci1017 0.000 -0.079 0.000 -0.066 0.000 -0.054 0.000 -0.026 Cubs 0.001 -0.079 0.000 -0.076 0.000 -0.047 0.000 -0.016 MatthewBerryTMR 0.000 -0.079 0.001 -0.068 0.000 -0.059 0.001 -0.027 StateDept 0.000 -0.078 0.000 -0.087 0.000 -0.058 0.000 -0.097 JArrieta34 0.000 -0.078 0.009 -0.097 0.000 -0.096 0.000 -0.053 thesulk 0.000 -0.078 0.000 -0.063 0.000 -0.120 0.000 -0.068 PopSci 0.001 -0.078 0.000 -0.059 0.000 -0.025 0.000 -0.060 Lamp 0.000 -0.078 0.000 -0.028 0.000 -0.047 0.000 0.002 whitegrlproblem 0.000 -0.078 0.005 -0.025 0.000 -0.083 0.000 -0.031 NFL_Memes 0.006 -0.077 0.003 -0.109 0.000 -0.101 0.000 -0.081 PardonMyTake 0.000 -0.077 0.000 -0.070 0.000 -0.060 0.001 -0.046 adamlevine 0.000 -0.077 0.000 -0.050 0.000 -0.070 0.002 -0.057 ProFootballTalk 0.000 -0.077 0.000 -0.086 0.000 -0.054 0.000 -0.004 Newcastle 0.000 -0.076 0.003 -0.107 0.000 -0.044 0.000 -0.076 JohnTheCho 0.000 -0.076 0.000 -0.065 0.000 -0.025 0.000 -0.051 stephenasmith 0.000 -0.076 0.000 -0.079 0.000 -0.027 0.000 -0.086 DanBilzerian 0.005 -0.076 0.000 -0.040 0.000 0.026 0.000 0.006 ElderScrolls 0.000 -0.076 0.007 -0.097 0.000 -0.078 0.004 -0.066 JimmyTatro 0.003 -0.076 0.000 -0.022 0.000 0.008 0.000 -0.048 notthefakeSVP 0.001 -0.075 0.000 -0.063 0.000 -0.069 0.004 -0.047 SportsNation 0.000 -0.075 0.000 -0.027 0.001 -0.040 0.000 -0.063 shitgirlssay 0.002 -0.075 0.000 -0.039 0.000 -0.101 0.000 -0.031 blakeshelton 0.005 -0.075 0.001 -0.009 0.000 -0.096 0.000 -0.003 JasonLaCanfora 0.000 -0.075 0.006 -0.088 0.000 -0.068 0.000 -0.007 PrettyLights 0.002 -0.075 0.000 -0.069 0.000 -0.081 0.002 -0.073 USNavy 0.000 -0.075 0.000 -0.063 0.000 -0.057 0.000 -0.073 Gawker 0.000 -0.075 0.000 -0.049 0.000 -0.057 0.009 -0.058 nflnetwork 0.003 -0.075 0.000 -0.114 0.000 -0.059 0.000 -0.023 TeamUSA 0.000 -0.075 0.004 -0.048 0.000 -0.120 0.000 -0.060 alexmorgan13 0.000 -0.075 0.000 -0.019 0.000 -0.008 0.000 0.010 Predicting Mental Health from Followed Accounts: SUPPLEMENT 73

AdamSchefter 0.000 -0.074 0.000 -0.110 0.002 -0.119 0.005 -0.091 coinbase 0.010 -0.074 0.000 -0.044 0.000 -0.015 0.003 -0.044 elgatogaming 0.000 -0.074 0.000 -0.087 0.001 -0.100 0.000 -0.099 msiUSA 0.004 -0.074 0.000 -0.066 0.000 -0.085 0.000 0.001 NatGeo 0.000 -0.073 0.007 -0.037 0.000 -0.073 0.000 -0.052 cenkuygur 0.000 -0.073 0.000 -0.037 0.000 -0.018 0.000 -0.035 tedcruz 0.000 -0.073 0.000 -0.031 0.000 -0.004 0.000 0.021 UncleChaps 0.000 -0.072 0.000 -0.043 0.000 -0.073 0.000 -0.042 republicwirelss 0.000 -0.072 0.000 -0.041 0.000 -0.065 0.000 -0.042 SInow 0.000 -0.072 0.000 -0.076 0.002 -0.081 0.000 -0.055 bobatl 0.004 -0.072 0.000 -0.047 0.000 -0.069 0.000 -0.010 Starbucks 0.005 -0.071 0.000 -0.020 0.000 -0.055 0.000 -0.054 AmznMovieRevws 0.007 -0.071 0.000 -0.065 0.000 -0.118 0.000 -0.062 ryenarussillo 0.004 -0.071 0.000 -0.065 0.000 -0.045 0.000 -0.040 USPSHelp 0.000 -0.071 0.000 -0.039 0.000 0.022 0.000 0.013 SICKOFWOLVES 0.002 -0.071 0.002 -0.074 0.000 -0.075 0.000 -0.060 BigSean 0.002 -0.070 0.017 -0.056 0.000 -0.045 0.000 -0.007 steinersports 0.002 -0.070 0.000 -0.062 0.000 -0.061 0.000 -0.022 FactsOfSchool 0.005 -0.070 0.001 -0.041 0.000 -0.054 0.000 0.012 McIlroyRory 0.006 -0.070 0.000 -0.076 0.000 -0.125 0.000 -0.076 Twitch 0.000 -0.070 0.000 -0.057 0.000 -0.038 0.001 -0.044 thecampaignbook 0.001 -0.069 0.000 -0.083 0.000 -0.049 0.000 -0.068 sacca 0.004 -0.069 0.002 -0.072 0.000 -0.073 0.000 -0.042 Timeflies 0.000 -0.069 0.000 -0.035 0.001 -0.088 0.000 -0.006 wordstionary 0.004 -0.069 0.006 -0.018 0.000 -0.026 0.000 0.004 jonas_ent 0.000 -0.069 0.009 -0.015 0.000 -0.018 0.000 -0.037 DeptofDefense 0.002 -0.068 0.008 -0.068 0.000 -0.032 0.000 -0.018 mtaibbi 0.000 -0.068 0.000 -0.051 0.000 -0.091 0.000 -0.048 CMPunk 0.003 -0.068 0.000 -0.044 0.000 -0.045 0.004 -0.013 TheFunnyVines 0.009 -0.068 0.000 -0.034 0.000 -0.032 0.000 -0.031 Predicting Mental Health from Followed Accounts: SUPPLEMENT 74

thehill 0.000 -0.068 0.009 0.007 0.000 -0.016 0.000 -0.008 MLB 0.000 -0.068 0.000 -0.074 0.000 -0.069 0.011 -0.040 UrbanOutfitters 0.000 -0.067 0.000 -0.049 0.000 -0.093 0.000 -0.051 SFGiants 0.000 -0.067 0.000 -0.049 0.000 0.018 0.000 -0.074 brielarson 0.000 -0.067 0.028 -0.033 0.000 -0.004 0.001 -0.064 TomHall 0.000 -0.067 0.002 -0.092 0.000 -0.073 0.000 -0.099 YahooFantasy 0.002 -0.067 0.000 -0.080 0.000 -0.088 0.005 -0.037 BillKristol 0.010 -0.067 0.000 -0.049 0.000 -0.096 0.000 -0.068 DierksBentley 0.000 -0.067 0.000 -0.043 0.000 -0.081 0.005 -0.089 wideopencountry 0.000 -0.067 0.003 0.019 0.000 -0.002 0.000 0.036 AMDGaming 0.000 -0.067 0.000 -0.085 0.000 -0.104 0.000 -0.002 CornelWest 0.000 -0.067 0.002 -0.072 0.000 -0.025 0.001 -0.045 Dame_Lillard 0.006 -0.067 0.000 -0.044 0.000 -0.031 0.004 -0.008 arstechnica 0.000 -0.066 0.000 -0.044 0.000 -0.036 0.000 -0.013 IssaRae 0.000 -0.066 0.003 -0.070 0.000 -0.078 0.000 -0.062 feedme 0.000 -0.066 0.007 -0.063 0.000 -0.091 0.000 -0.075 VINNYGUADAGNINO 0.000 -0.066 0.003 -0.041 0.000 -0.058 0.000 -0.018 sapinker 0.000 -0.065 0.000 -0.006 0.000 -0.006 0.000 -0.026 LogitechG 0.000 -0.065 0.000 -0.080 0.000 -0.104 0.000 -0.093 primestudent 0.001 -0.065 0.001 -0.026 0.000 -0.018 0.000 -0.049 Monstercat 0.000 -0.065 0.000 -0.090 0.000 -0.061 0.015 -0.117 CoachJim4UM 0.000 -0.065 0.002 -0.082 0.000 -0.061 0.000 -0.007 michaelb4jordan 0.002 -0.065 0.000 -0.041 0.000 -0.054 0.004 0.016 brianstelter 0.003 -0.065 0.000 -0.036 0.000 -0.097 0.000 -0.060 RobertsEmma 0.000 -0.065 0.000 -0.028 0.000 -0.013 0.000 0.008 justinbieber 0.000 -0.064 0.000 -0.001 0.000 -0.070 0.000 -0.012 Yankees 0.000 -0.064 0.003 -0.055 0.000 -0.049 0.000 -0.016 RonPaul 0.000 -0.064 0.000 -0.046 0.000 -0.018 0.000 -0.047 imteddybless 0.001 -0.064 0.007 -0.041 0.000 -0.057 0.000 -0.047 RonanFarrow 0.000 -0.064 0.000 -0.009 0.000 -0.041 0.000 -0.053 Predicting Mental Health from Followed Accounts: SUPPLEMENT 75

ScottRogowsky 0.000 -0.064 0.008 -0.070 0.000 -0.038 0.000 -0.066 lilyallen 0.000 -0.064 0.000 -0.053 0.000 -0.018 0.000 -0.040 Snapchat 0.001 -0.064 0.000 -0.051 0.000 -0.058 0.000 -0.097 RickieFowler 0.000 -0.064 0.000 -0.041 0.000 -0.105 0.004 -0.079 MichaelVick 0.000 -0.064 0.000 -0.041 0.000 -0.038 0.000 -0.004 ConcernedApe 0.000 -0.064 0.000 -0.008 0.000 -0.012 0.001 -0.031 KatyTurNBC 0.001 -0.063 0.000 0.000 0.000 -0.060 0.000 -0.031 netw3rk 0.000 -0.063 0.004 -0.031 0.001 -0.031 0.003 -0.035 BleacherReport 0.000 -0.063 0.007 -0.062 0.000 0.022 0.000 -0.034 Wale 0.000 -0.063 0.001 -0.022 0.000 -0.001 0.006 -0.011 Kurkjian_ESPN 0.000 -0.062 0.000 -0.098 0.000 -0.047 0.000 -0.041 TravisPastrana 0.000 -0.062 0.020 -0.072 0.000 -0.039 0.000 -0.045 WildTurtle 0.009 -0.062 0.003 -0.056 0.000 -0.025 0.000 -0.050 Samsung 0.003 -0.062 0.008 -0.049 0.000 -0.068 0.000 -0.060 F1abraham 0.000 -0.062 0.000 -0.046 0.000 -0.061 0.002 -0.026 ShaneVictorino 0.004 -0.062 0.000 -0.033 0.000 -0.054 0.000 -0.064 SOLREPUBLIC 0.000 -0.062 0.000 -0.051 0.000 -0.032 0.000 -0.069 TheRealNimoy 0.000 -0.062 0.000 -0.028 0.001 -0.054 0.000 -0.010 oregonfootball 0.009 -0.062 0.001 -0.039 0.000 -0.040 0.000 0.003 mikethemiz 0.000 -0.061 0.000 -0.049 0.000 -0.052 0.000 -0.053 jimmycarr 0.000 -0.061 0.000 -0.049 0.000 0.035 0.002 -0.040 htc 0.006 -0.061 0.000 -0.020 0.000 -0.045 0.002 -0.004 ochocinco 0.000 -0.061 0.000 -0.028 0.000 -0.027 0.003 -0.011 VernonDavis85 0.000 -0.061 0.000 -0.086 0.000 -0.057 0.000 -0.053 PatrickWillis52 0.000 -0.061 0.000 -0.083 0.000 -0.073 0.000 -0.063 SMITEGame 0.000 -0.061 0.001 -0.077 0.000 -0.065 0.000 -0.120 berleezy 0.000 -0.061 0.000 -0.072 0.000 -0.081 0.000 -0.053 nickjfrost 0.000 -0.061 0.000 -0.055 0.000 -0.018 0.000 -0.027 emrata 0.009 -0.061 0.000 -0.052 0.000 -0.033 0.000 0.015 sheetz 0.004 -0.061 0.002 -0.035 0.000 -0.049 0.000 -0.022 Predicting Mental Health from Followed Accounts: SUPPLEMENT 76

JohnDingell 0.000 -0.061 0.000 -0.032 0.000 -0.065 0.000 -0.047 Amazon3PSellers 0.000 -0.061 0.007 -0.026 0.000 -0.041 0.000 -0.047 onedirection 0.000 -0.061 0.000 -0.001 0.000 -0.049 0.000 -0.016 HeerJeet 0.000 -0.061 0.000 0.010 0.002 -0.073 0.001 -0.042 jimmyeatworld 0.000 -0.061 0.000 0.019 0.000 -0.018 0.000 0.004 therealcliffyb 0.000 -0.061 0.000 -0.005 0.000 -0.041 0.000 -0.041 id_723613712783908865 0.000 -0.061 0.000 -0.069 0.000 -0.011 0.000 -0.030 StarCraft 0.000 -0.061 0.000 -0.006 0.001 0.062 0.000 -0.043 id_536649400 0.002 -0.061 0.000 -0.027 0.000 0.033 0.000 0.015 KenJennings 0.000 -0.061 0.002 -0.068 0.000 -0.072 0.000 -0.034 RSherman_25 0.000 -0.061 0.000 -0.068 0.000 -0.098 0.000 -0.060 AP 0.001 -0.060 0.001 -0.012 0.000 -0.034 0.000 -0.014 Limericking 0.000 -0.060 0.000 -0.054 0.000 -0.061 0.000 -0.012 JordanSpieth 0.000 -0.060 0.000 -0.033 0.000 -0.075 0.003 -0.064 XtotheV 0.002 -0.060 0.000 -0.033 0.000 0.004 0.000 -0.026 lastfm 0.000 -0.060 0.000 -0.018 0.000 -0.068 0.000 -0.017 katienolan 0.000 -0.060 0.000 -0.062 0.000 -0.075 0.000 -0.038 richeisen 0.000 -0.059 0.000 -0.076 0.000 -0.044 0.007 0.024 Microsoft 0.004 -0.059 0.004 -0.089 0.000 -0.071 0.003 -0.059 JoeBiden 0.000 -0.059 0.000 -0.022 0.000 -0.048 0.000 -0.036 TigerWoods 0.000 -0.059 0.000 -0.038 0.000 -0.100 0.004 -0.029 DangeRussWilson 0.000 -0.059 0.000 -0.089 0.002 -0.105 0.000 -0.084 AndrewMayne 0.000 -0.059 0.000 -0.053 0.000 -0.072 0.000 -0.075 day9tv 0.000 -0.059 0.000 -0.046 0.000 -0.012 0.000 -0.035 GSElevator 0.000 -0.059 0.000 -0.041 0.000 -0.078 0.001 -0.035 MaciBookout 0.000 -0.059 0.000 -0.015 0.000 -0.058 0.000 0.004 ZacEfron 0.000 -0.059 0.000 -0.043 0.000 -0.100 0.000 -0.017 Jumpman23 0.000 -0.059 0.003 -0.039 0.000 -0.020 0.000 -0.020 totalfratmove 0.006 -0.059 0.000 0.031 0.000 0.055 0.000 0.043 IAmJericho 0.005 -0.059 0.000 -0.048 0.000 -0.042 0.000 -0.038 Predicting Mental Health from Followed Accounts: SUPPLEMENT 77

S_C_ 0.000 -0.059 0.000 -0.046 0.000 -0.064 0.000 -0.016 TeamLiquid 0.000 -0.059 0.000 -0.046 0.000 -0.042 0.000 -0.075 LinzDeFranco 0.003 -0.059 0.007 -0.083 0.000 -0.075 0.000 -0.043 chucktodd 0.000 -0.059 0.000 -0.033 0.000 -0.050 0.000 -0.039 ESPNNBA 0.000 -0.059 0.000 -0.033 0.000 -0.012 0.008 -0.117 maggieNYT 0.000 -0.059 0.004 -0.022 0.001 -0.081 0.001 -0.043 YahooForde 0.000 -0.058 0.000 -0.077 0.000 -0.081 0.000 -0.027 NeroUK 0.000 -0.058 0.000 -0.052 0.000 -0.065 0.000 -0.063 michaelpollan 0.000 -0.058 0.002 -0.043 0.000 -0.041 0.000 -0.068 XoticPC 0.000 -0.058 0.000 -0.041 0.000 -0.057 0.003 -0.032 iamjojo 0.000 -0.058 0.000 -0.026 0.001 -0.057 0.000 -0.032 007 0.005 -0.058 0.000 -0.015 0.000 -0.065 0.001 -0.016 Jeff_Piotrowski 0.000 -0.058 0.000 -0.012 0.000 -0.041 0.000 -0.058 MeganMullally 0.000 -0.058 0.000 -0.001 0.000 -0.002 0.000 -0.011 TheMandyMoore 0.000 -0.058 0.000 0.027 0.000 -0.049 0.000 -0.001 dog_rates 0.000 -0.058 0.000 -0.034 0.000 -0.008 0.003 -0.003 wingoz 0.000 -0.057 0.000 -0.088 0.000 -0.102 0.000 -0.031 Buster_ESPN 0.001 -0.057 0.000 -0.083 0.000 -0.058 0.003 -0.047 CNN 0.013 -0.057 0.008 0.019 0.000 0.001 0.004 -0.025 humble 0.003 -0.057 0.003 0.006 0.000 0.033 0.001 -0.056 EASPORTS 0.000 -0.057 0.005 -0.046 0.000 -0.032 0.000 0.012 Amy_Siskind 0.000 -0.057 0.000 -0.028 0.000 -0.083 0.000 -0.055 TheFunnyVine 0.001 -0.057 0.000 -0.010 0.001 -0.018 0.001 -0.041 BurgerKing 0.003 -0.057 0.000 -0.064 0.000 -0.070 0.000 -0.056 ZOWIEbyBenQUSA 0.000 -0.056 0.003 -0.104 0.000 -0.072 0.001 -0.075 hasanminhaj 0.005 -0.056 0.001 -0.053 0.000 -0.018 0.000 -0.035 LeBatardShow 0.000 -0.056 0.000 -0.049 0.000 -0.025 0.000 -0.035 AC360 0.000 -0.056 0.000 -0.039 0.000 0.002 0.000 -0.066 WWEDanielBryan 0.000 -0.056 0.000 -0.032 0.000 -0.025 0.000 -0.035 LKrauss1 0.006 -0.056 0.002 -0.017 0.000 0.008 0.000 -0.026 Predicting Mental Health from Followed Accounts: SUPPLEMENT 78

votevets 0.000 -0.056 0.000 0.005 0.000 0.006 0.000 -0.002 elliegoulding 0.004 -0.056 0.000 -0.032 0.000 -0.006 0.000 -0.002 PreetBharara 0.000 -0.056 0.001 -0.007 0.000 -0.028 0.000 0.000 carmeloanthony 0.000 -0.055 0.000 -0.001 0.000 -0.046 0.000 -0.051 SuperDuperKyle 0.003 -0.055 0.007 -0.092 0.002 -0.049 0.001 0.010 zerohedge 0.003 -0.055 0.000 -0.089 0.000 -0.033 0.002 -0.053 kaitlancollins 0.000 -0.055 0.000 -0.060 0.000 -0.088 0.000 -0.016 PGATOUR 0.000 -0.055 0.001 -0.049 0.001 -0.073 0.000 -0.068 BrodyJenner 0.000 -0.055 0.000 -0.046 0.000 -0.010 0.000 -0.032 iheartraving 0.000 -0.055 0.001 -0.018 0.000 -0.049 0.000 0.015 CarsonDaly 0.000 -0.055 0.000 0.008 0.000 -0.026 0.000 0.020 StephenMerchant 0.000 -0.055 0.000 0.027 0.000 0.045 0.001 0.010 mastodonmusic 0.001 -0.055 0.000 0.030 0.000 0.006 0.004 0.056 jaketapper 0.000 -0.055 0.000 -0.025 0.000 -0.059 0.000 -0.001 CallofDuty 0.001 -0.055 0.000 -0.060 0.000 -0.063 0.000 -0.052 TSM 0.000 -0.055 0.008 -0.052 0.001 -0.009 0.010 -0.101 kelly_clarkson 0.000 -0.055 0.001 0.002 0.000 -0.009 0.005 0.012 TEDTalks 0.000 -0.055 0.000 -0.020 0.000 0.050 0.000 -0.028 XboxLiveRewards 0.000 -0.054 0.000 -0.043 0.000 -0.061 0.005 -0.007 BrandonSteiner 0.000 -0.054 0.000 -0.038 0.000 -0.039 0.000 -0.003 ussoccer_wnt 0.002 -0.054 0.000 -0.028 0.000 0.004 0.004 -0.022 LifeCheating 0.000 -0.054 0.003 -0.023 0.000 -0.061 0.000 -0.050 karminmusic 0.000 -0.054 0.000 0.001 0.000 -0.047 0.000 0.026 Usher 0.000 -0.054 0.013 -0.026 0.000 -0.025 0.000 -0.022 petewentz 0.000 -0.054 0.000 -0.011 0.001 -0.031 0.000 -0.031 GFuelEnergy 0.000 -0.054 0.000 -0.043 0.000 -0.091 0.000 -0.050 jeremypiven 0.000 -0.054 0.001 -0.029 0.000 -0.020 0.000 0.010 id_887010284166144001 0.000 -0.053 0.001 -0.054 0.001 -0.025 0.000 -0.048 kobebryant 0.001 -0.053 0.008 -0.058 0.000 -0.058 0.001 -0.054 SouthwestAir 0.000 -0.052 0.000 -0.032 0.000 -0.059 0.000 -0.027 Predicting Mental Health from Followed Accounts: SUPPLEMENT 79

BMarshall 0.001 -0.052 0.000 -0.075 0.001 -0.112 0.000 -0.032 hunterpence 0.000 -0.052 0.000 -0.066 0.000 -0.057 0.000 -0.027 CHIMPSINSOCKS 0.003 -0.052 0.000 -0.052 0.000 -0.002 0.000 -0.032 iamdevloper 0.000 -0.052 0.000 -0.043 0.000 -0.073 0.000 -0.001 SteinerInsider 0.000 -0.052 0.000 -0.041 0.000 -0.041 0.000 0.004 MLS 0.000 -0.052 0.002 -0.035 0.000 -0.026 0.000 -0.022 alyandaj 0.000 -0.052 0.000 -0.032 0.000 0.022 0.000 -0.027 brooklynvegan 0.000 -0.052 0.000 -0.021 0.000 -0.041 0.000 -0.027 testament 0.000 -0.052 0.000 -0.021 0.000 -0.002 0.000 -0.006 JeopardySports 0.000 -0.052 0.012 -0.018 0.002 0.014 0.003 -0.022 nickjonas 0.000 -0.052 0.000 -0.007 0.000 -0.041 0.000 -0.006 TDCinemaClub 0.001 -0.052 0.000 -0.007 0.000 0.014 0.000 -0.016 ClintonFdn 0.000 -0.052 0.000 0.005 0.000 0.006 0.000 0.010 jcomparel 0.001 -0.052 0.000 0.005 0.000 -0.018 0.000 -0.089 gibsonguitar 0.000 -0.052 0.001 0.010 0.000 0.037 0.000 0.025 90sgirlproblem 0.002 -0.052 0.000 0.027 0.000 -0.018 0.000 0.015 foofighters 0.000 -0.052 0.000 0.012 0.000 0.016 0.000 0.067 algore 0.000 -0.052 0.007 0.019 0.000 0.016 0.000 0.016 AroundTheNFL 0.000 -0.052 0.014 -0.093 0.000 -0.047 0.000 -0.007 bubbawatson 0.000 -0.052 0.000 -0.072 0.001 -0.118 0.000 -0.064 ReneeYoungWWE 0.008 -0.052 0.000 -0.046 0.000 -0.061 0.002 -0.064 ZackRyder 0.000 -0.052 0.002 -0.038 0.001 -0.047 0.005 -0.060 FormaL 0.000 -0.052 0.001 -0.028 0.000 -0.083 0.000 -0.041 OpTic_Crimsix 0.004 -0.052 0.000 -0.028 0.000 -0.083 0.000 -0.041 EverythingGoats 0.000 -0.052 0.000 0.003 0.000 0.004 0.000 -0.026 davidortiz 0.000 -0.052 0.001 0.008 0.000 0.018 0.000 -0.031 OhNoSheTwitnt 0.000 -0.052 0.000 0.024 0.000 -0.025 0.000 -0.017 WhatTheFFacts 0.000 -0.052 0.000 0.008 0.000 -0.010 0.000 0.050 zeldawilliams 0.000 -0.052 0.000 -0.025 0.001 -0.038 0.000 -0.009 DaneCook 0.000 -0.052 0.000 -0.013 0.000 0.028 0.000 0.018 Predicting Mental Health from Followed Accounts: SUPPLEMENT 80

RapSheet 0.015 -0.052 0.000 -0.079 0.000 -0.067 0.000 -0.015 cnnbrk 0.004 -0.052 0.013 -0.025 0.000 0.030 0.000 -0.040 simonpegg 0.000 -0.051 0.001 -0.014 0.001 0.013 0.000 0.006 prozdkp 0.000 -0.051 0.000 -0.056 0.000 -0.026 0.000 -0.047 CP3 0.004 -0.051 0.008 -0.042 0.000 -0.078 0.006 -0.028 funnyordie 0.005 -0.051 0.002 -0.060 0.000 0.000 0.004 -0.029 RedditCFB 0.006 -0.051 0.000 -0.068 0.000 -0.041 0.000 -0.006 vincestaples 0.000 -0.051 0.012 -0.058 0.000 -0.026 0.000 -0.007 threadless 0.000 -0.050 0.001 -0.054 0.000 -0.070 0.000 -0.031 WWE 0.002 -0.050 0.003 -0.042 0.000 -0.047 0.000 -0.038 Imaginedragons 0.000 -0.050 0.000 -0.021 0.000 -0.020 0.011 0.043 CauseWereGuys 0.000 -0.050 0.000 -0.032 0.000 -0.001 0.000 -0.027 deadmau5 0.000 -0.050 0.000 -0.044 0.000 -0.007 0.000 -0.009 Nationals 0.000 -0.050 0.000 -0.094 0.000 -0.033 0.000 -0.094 AlbertBreer 0.000 -0.050 0.000 -0.077 0.000 -0.033 0.000 0.020 YahooSportsNBA 0.005 -0.050 0.002 -0.072 0.000 -0.096 0.000 -0.094 NOAA 0.000 -0.050 0.000 -0.058 0.000 -0.041 0.000 -0.032 steveaoki 0.000 -0.050 0.000 -0.043 0.000 -0.073 0.000 -0.042 HANDLE_TEMP 0.000 -0.050 0.004 -0.038 0.000 -0.073 0.000 -0.027 SecretService 0.000 -0.050 0.001 -0.038 0.000 -0.057 0.000 -0.063 kickstarter 0.000 -0.050 0.000 -0.035 0.000 -0.065 0.000 -0.022 si_vault 0.000 -0.050 0.000 -0.029 0.000 -0.049 0.000 -0.032 IHOP 0.000 -0.050 0.000 -0.026 0.000 -0.049 0.000 -0.032 HoodieAllen 0.000 -0.050 0.000 -0.024 0.000 -0.073 0.000 -0.084 ChuckTingle 0.000 -0.050 0.000 0.008 0.000 -0.033 0.000 -0.016 drewbrees 0.000 -0.050 0.000 -0.092 0.002 -0.087 0.000 -0.026 itshafu 0.000 -0.050 0.000 -0.035 0.000 0.025 0.000 -0.026 OpTic_BigTymeR 0.001 -0.050 0.000 -0.026 0.000 -0.075 0.000 -0.064 LOLGOP 0.012 -0.050 0.000 -0.024 0.000 -0.062 0.000 -0.068 DILLONFRANCIS 0.000 -0.050 0.000 -0.011 0.000 -0.025 0.000 0.023 Predicting Mental Health from Followed Accounts: SUPPLEMENT 81

RayRice27 0.007 -0.049 0.006 -0.082 0.000 -0.085 0.000 -0.053 IronsidePC 0.000 -0.049 0.000 -0.075 0.001 -0.098 0.000 -0.075 Logitech 0.000 -0.049 0.005 -0.051 0.000 -0.085 0.000 -0.062 knifepartyinc 0.000 -0.049 0.000 -0.025 0.000 -0.018 0.000 -0.031 CNNPolitics 0.000 -0.049 0.000 -0.022 0.000 0.028 0.000 -0.048 chriscolfer 0.000 -0.049 0.000 -0.008 0.000 -0.038 0.000 -0.026 INTOTHEAM 0.000 -0.049 0.000 -0.005 0.000 -0.025 0.000 0.000 Springfield_Inc 0.003 -0.049 0.000 0.023 0.000 -0.025 0.000 0.018 OBSProject 0.000 -0.049 0.005 -0.046 0.000 -0.068 0.000 -0.079 DesignByHumans 0.003 -0.049 0.000 -0.031 0.000 -0.075 0.000 -0.036 KapSlap 0.000 -0.049 0.000 -0.025 0.001 -0.032 0.000 -0.045 Freakonomics 0.002 -0.049 0.000 -0.007 0.000 -0.047 0.001 -0.036 Know 0.000 -0.049 0.003 -0.002 0.001 -0.032 0.000 -0.017 TheLewisBlack 0.000 -0.049 0.000 0.024 0.000 0.018 0.000 0.007 GATDAILY 0.000 -0.049 0.000 0.026 0.000 0.018 0.000 -0.007 JoelEmbiid 0.004 -0.049 0.000 -0.039 0.000 -0.023 0.000 -0.069 AMCTalkingDead 0.003 -0.049 0.000 -0.050 0.002 -0.041 0.003 -0.024 KevinHart4real 0.001 -0.049 0.009 -0.067 0.000 -0.038 0.000 -0.033 TheTweetOfGod 0.005 -0.049 0.000 -0.008 0.001 -0.015 0.000 -0.021 HyperX 0.003 -0.049 0.000 -0.092 0.000 -0.069 0.002 -0.040 wojespn 0.000 -0.049 0.012 -0.023 0.000 -0.030 0.000 -0.073 ScottDisick 0.000 -0.048 0.002 -0.017 0.000 -0.014 0.000 -0.031 TheOnion 0.006 -0.048 0.000 -0.034 0.000 -0.016 0.003 -0.027 mcuban 0.000 -0.048 0.006 -0.030 0.001 -0.041 0.000 -0.021 jason_mraz 0.000 -0.048 0.000 -0.013 0.000 -0.025 0.001 0.004 Quaker 0.003 -0.048 0.000 -0.005 0.000 -0.013 0.000 -0.011 washingtonpost 0.000 -0.047 0.000 -0.053 0.002 -0.028 0.000 -0.039 ProductHunt 0.001 -0.047 0.003 -0.042 0.000 -0.050 0.000 -0.026 TwitterGaming 0.003 -0.047 0.000 -0.064 0.000 -0.057 0.007 -0.048 AndroidPolice 0.000 -0.047 0.000 -0.021 0.000 -0.036 0.000 0.047 Predicting Mental Health from Followed Accounts: SUPPLEMENT 82

NRGgg 0.000 -0.047 0.000 -0.039 0.000 -0.038 0.000 -0.031 tiny_star_field 0.008 -0.047 0.000 -0.086 0.000 -0.049 0.000 -0.073 acorns 0.001 -0.047 0.000 -0.075 0.001 0.022 0.000 -0.136 nyjets 0.000 -0.047 0.000 -0.066 0.000 -0.033 0.002 -0.068 LimitedRunGames 0.000 -0.047 0.003 -0.046 0.000 -0.057 0.000 -0.027 ESPN_Esports 0.000 -0.047 0.000 -0.046 0.000 -0.041 0.000 -0.058 AmericanAir 0.000 -0.047 0.001 -0.043 0.000 -0.033 0.000 -0.047 MsBlaireWhite 0.000 -0.047 0.000 -0.032 0.000 -0.049 0.000 -0.079 chordoverstreet 0.000 -0.047 0.000 -0.026 0.000 -0.049 0.000 -0.037 HarryShumJr 0.000 -0.047 0.000 -0.026 0.000 -0.049 0.005 -0.037 CarmenYulinCruz 0.000 -0.047 0.000 -0.024 0.000 -0.088 0.000 0.004 SeattlesBest 0.000 -0.047 0.000 -0.012 0.000 -0.002 0.000 -0.016 SoVeryBritish 0.000 -0.047 0.000 -0.009 0.000 0.014 0.000 -0.022 Burberry 0.004 -0.047 0.000 -0.007 0.000 -0.033 0.000 -0.011 id_825043982006759428 0.000 -0.047 0.000 -0.004 0.000 -0.026 0.000 -0.022 peterfacinelli 0.000 -0.047 0.000 0.010 0.000 0.022 0.000 -0.001 KISSOnline 0.000 -0.047 0.000 0.025 0.000 0.029 0.001 0.020 theskimm 0.000 -0.047 0.000 0.025 0.000 0.037 0.000 0.041 Comey 0.000 -0.047 0.000 0.006 0.000 -0.024 0.000 0.000 evansilva 0.000 -0.047 0.008 -0.080 0.000 -0.090 0.000 -0.017 SennheiserGamer 0.003 -0.047 0.000 -0.041 0.000 -0.083 0.002 0.002 BillPlaschke 0.000 -0.047 0.003 -0.041 0.000 -0.004 0.000 -0.017 OldNavy 0.000 -0.047 0.001 -0.036 0.000 -0.054 0.000 -0.036 AMDFX 0.000 -0.047 0.000 -0.033 0.000 -0.068 0.000 0.035 passionpit 0.007 -0.047 0.009 -0.033 0.000 -0.054 0.000 -0.003 ScufGaming 0.000 -0.046 0.007 -0.056 0.000 -0.075 0.000 -0.056 iamsambee 0.001 -0.046 0.002 -0.023 0.000 0.008 0.000 -0.020 Blizzard_Ent 0.000 -0.046 0.003 -0.009 0.000 -0.021 0.000 -0.022 stephenfry 0.005 -0.046 0.000 0.041 0.000 0.052 0.000 0.004 BillSimmons 0.000 -0.046 0.000 -0.016 0.000 -0.058 0.000 -0.052 Predicting Mental Health from Followed Accounts: SUPPLEMENT 83

ASUS 0.004 -0.046 0.000 -0.073 0.000 -0.072 0.000 -0.011 adidasoriginals 0.000 -0.046 0.000 -0.030 0.000 -0.049 0.008 -0.031 BronxZoosCobra 0.001 -0.046 0.000 0.000 0.000 -0.013 0.000 -0.031 ASTROGaming 0.002 -0.046 0.007 -0.055 0.001 -0.091 0.000 -0.083 KontrolFreek 0.000 -0.045 0.000 -0.069 0.000 -0.057 0.000 -0.062 CuteEmergency 0.001 -0.045 0.000 -0.028 0.000 -0.036 0.002 -0.047 BMcCarthy32 0.006 -0.045 0.000 -0.087 0.000 -0.056 0.000 -0.076 UniWatch 0.000 -0.045 0.000 -0.049 0.000 -0.062 0.000 -0.006 davidhogg111 0.000 -0.045 0.001 -0.017 0.000 -0.050 0.000 -0.031 NBA 0.000 -0.045 0.003 -0.031 0.000 -0.006 0.000 -0.059 DeSeanJackson11 0.000 -0.044 0.000 -0.063 0.000 -0.072 0.002 -0.022 SquareEnixUSA 0.000 -0.044 0.000 -0.046 0.000 -0.078 0.000 -0.022 CODWorldLeague 0.002 -0.044 0.010 -0.046 0.000 -0.045 0.000 -0.062 ringer 0.000 -0.044 0.000 -0.034 0.000 -0.038 0.000 -0.035 porterrobinson 0.007 -0.044 0.000 0.004 0.000 0.035 0.006 -0.004 PFF 0.005 -0.044 0.000 -0.066 0.000 -0.031 0.000 0.006 rgay 0.007 -0.044 0.000 0.035 0.000 -0.008 0.006 -0.008 Chris_Broussard 0.002 -0.044 0.000 -0.036 0.000 0.005 0.002 -0.038 MichelleDBeadle 0.004 -0.044 0.000 -0.021 0.000 -0.041 0.002 -0.017 Polygon 0.001 -0.044 0.013 0.014 0.000 0.036 0.000 -0.048 Trevornoah 0.000 -0.044 0.004 -0.025 0.000 -0.019 0.000 -0.013 VitalikButerin 0.000 -0.044 0.001 -0.059 0.000 -0.032 0.000 -0.026 jonnysun 0.001 -0.044 0.008 -0.043 0.000 -0.061 0.000 -0.069 maxjoseph 0.000 -0.044 0.001 -0.036 0.000 -0.039 0.000 -0.031 ezraklein 0.002 -0.044 0.000 -0.033 0.000 -0.075 0.000 -0.045 CoryMonteith 0.000 -0.044 0.001 -0.031 0.000 -0.068 0.000 -0.055 _Snape_ 0.000 -0.044 0.000 -0.031 0.000 -0.018 0.000 -0.022 BittrexExchange 0.000 -0.044 0.002 -0.028 0.000 -0.025 0.000 -0.050 riseagainst 0.000 -0.044 0.004 -0.028 0.000 -0.004 0.000 -0.026 Mastercard 0.000 -0.044 0.000 -0.012 0.000 -0.047 0.000 -0.045 Predicting Mental Health from Followed Accounts: SUPPLEMENT 84

qwertee 0.000 -0.044 0.002 0.003 0.000 0.018 0.000 -0.007 EstelleDarlings 0.000 -0.044 0.000 0.003 0.000 0.025 0.000 -0.012 DwyaneWade 0.000 -0.044 0.000 -0.017 0.000 -0.031 0.000 -0.010 Redskins 0.008 -0.044 0.000 -0.075 0.000 0.006 0.001 -0.058 comcastcares 0.004 -0.044 0.000 -0.060 0.000 -0.073 0.000 -0.094 smartfootball 0.001 -0.044 0.000 -0.052 0.000 -0.033 0.000 0.015 Amaz 0.000 -0.044 0.000 -0.035 0.000 -0.057 0.000 -0.001 lolGosu 0.000 -0.044 0.000 -0.035 0.000 -0.002 0.000 -0.022 phil_hellmuth 0.000 -0.044 0.000 -0.032 0.000 -0.033 0.000 0.015 RealKidPoker 0.012 -0.044 0.000 -0.032 0.000 -0.033 0.000 0.015 Everytown 0.003 -0.044 0.004 -0.029 0.000 -0.057 0.000 -0.042 GAMDIAS 0.000 -0.044 0.000 -0.015 0.000 -0.041 0.000 0.015 NuclearTakes 0.000 -0.044 0.000 0.013 0.000 -0.033 0.000 -0.047 cher 0.002 -0.044 0.000 0.050 0.000 0.009 0.000 0.008 OnionSports 0.000 -0.044 0.000 -0.068 0.000 -0.037 0.000 -0.027 idriselba 0.001 -0.044 0.000 -0.003 0.001 -0.019 0.000 -0.027 DestinyTheGame 0.000 -0.044 0.003 -0.044 0.000 -0.100 0.000 -0.034 CORSAIR 0.000 -0.043 0.000 -0.064 0.000 -0.072 0.000 -0.028 JasonKander 0.000 -0.043 0.000 -0.002 0.000 -0.044 0.000 0.015 realsoundguys 0.000 -0.043 0.000 0.016 0.000 -0.037 0.000 0.011 PolitiFact 0.000 -0.043 0.003 -0.035 0.002 -0.065 0.000 -0.041 johncusack 0.000 -0.042 0.000 0.031 0.000 0.025 0.000 0.021 NBCNews 0.009 -0.042 0.004 -0.043 0.000 -0.045 0.000 -0.062 redlobster 0.000 -0.042 0.000 -0.029 0.000 -0.058 0.000 -0.040 GuyFieri 0.000 -0.042 0.000 -0.029 0.000 -0.005 0.000 -0.026 XXL 0.000 -0.042 0.000 -0.022 0.000 -0.012 0.000 0.018 ariannahuff 0.000 -0.041 0.000 -0.064 0.001 -0.083 0.000 -0.045 Braves 0.000 -0.041 0.002 -0.056 0.000 -0.018 0.000 -0.017 Paula_Deen 0.000 -0.041 0.000 -0.038 0.000 -0.068 0.000 -0.031 dubstep4dads 0.000 -0.041 0.011 -0.023 0.000 -0.054 0.000 -0.031 Predicting Mental Health from Followed Accounts: SUPPLEMENT 85

MensHealthMag 0.002 -0.041 0.000 -0.012 0.000 -0.025 0.000 0.016 sciam 0.000 -0.041 0.000 -0.005 0.000 -0.068 0.002 0.007 berniethoughts 0.010 -0.041 0.001 0.003 0.000 -0.061 0.000 -0.022 KSIOlajidebt 0.000 -0.041 0.000 0.003 0.000 0.011 0.000 -0.007 Radeon 0.000 -0.041 0.002 -0.060 0.000 -0.079 0.000 -0.027 Nadeshot 0.000 -0.041 0.001 -0.010 0.000 -0.020 0.000 -0.055 MountainDew 0.000 -0.041 0.005 0.004 0.000 -0.057 0.002 -0.027 ProPublica 0.000 -0.041 0.000 0.015 0.000 -0.009 0.000 -0.006 theweeknd 0.000 -0.041 0.000 -0.034 0.000 -0.036 0.000 -0.046 pitchfork 0.000 -0.041 0.000 0.005 0.000 0.012 0.000 -0.012 kourtneykardash 0.008 -0.041 0.000 0.030 0.001 -0.005 0.000 0.013 JayGlazer 0.018 -0.041 0.010 -0.066 0.000 -0.074 0.000 -0.006 amazongames 0.000 -0.041 0.000 -0.036 0.000 -0.040 0.000 -0.020 dccommonsense 0.004 -0.041 0.000 -0.060 0.000 -0.057 0.000 -0.001 khanacademy 0.000 -0.041 0.016 -0.055 0.000 -0.073 0.000 -0.063 BFAds 0.000 -0.041 0.000 -0.046 0.000 -0.049 0.000 -0.006 ASAPferg 0.001 -0.041 0.000 -0.043 0.000 -0.010 0.000 0.004 TheOfficial_CT 0.000 -0.041 0.000 -0.029 0.000 -0.033 0.000 -0.027 HistoryInPix 0.000 -0.041 0.005 -0.015 0.000 -0.018 0.000 -0.001 Yellowcard 0.003 -0.041 0.000 -0.012 0.000 -0.026 0.000 -0.001 BarbaraCorcoran 0.000 -0.041 0.000 -0.009 0.000 -0.026 0.000 -0.027 WoWInsider 0.002 -0.041 0.000 -0.001 0.000 -0.041 0.000 -0.027 cameron_kasky 0.000 -0.041 0.000 -0.001 0.000 -0.026 0.002 -0.016 jamesmccleese2 0.005 -0.041 0.000 -0.001 0.000 -0.018 0.000 -0.006 FacesPics 0.002 -0.041 0.000 0.010 0.000 0.014 0.000 0.015 RepresentPledge 0.000 -0.041 0.000 0.016 0.000 0.014 0.000 -0.001 tonyiommi 0.000 -0.041 0.000 0.025 0.000 0.014 0.005 -0.006 WholeFoods 0.000 -0.041 0.000 0.033 0.000 -0.041 0.000 0.041 SallyQYates 0.000 -0.041 0.002 0.023 0.000 -0.013 0.000 0.017 eddieizzard 0.000 -0.041 0.005 -0.025 0.000 -0.041 0.000 -0.028 Predicting Mental Health from Followed Accounts: SUPPLEMENT 86

MLG 0.000 -0.041 0.000 -0.023 0.000 -0.051 0.000 -0.051 Things4WhitePpl 0.000 -0.041 0.001 -0.029 0.000 -0.025 0.000 -0.035 PUSHA_T 0.000 -0.041 0.000 -0.029 0.000 -0.012 0.000 0.023 Bitcoin 0.000 -0.041 0.003 -0.017 0.000 0.019 0.000 -0.010 pandoramusic 0.000 -0.041 0.000 0.052 0.000 -0.019 0.000 0.072 Deadspin 0.000 -0.041 0.000 -0.052 0.000 -0.032 0.000 -0.002 ussoccer_mnt 0.000 -0.040 0.000 -0.060 0.000 -0.008 0.000 -0.023 NintendoAmerica 0.000 -0.040 0.000 -0.050 0.000 -0.003 0.003 -0.047 rustyrockets 0.000 -0.040 0.003 0.003 0.000 0.055 0.001 0.028 JoeNBC 0.000 -0.040 0.000 -0.061 0.000 -0.065 0.000 -0.070 RedSox 0.000 -0.040 0.002 -0.020 0.000 -0.038 0.000 -0.070 lenadunham 0.000 -0.040 0.000 0.011 0.000 0.002 0.000 -0.018 piersmorgan 0.000 -0.040 0.014 -0.023 0.000 -0.063 0.000 -0.048 KrangTNelson 0.005 -0.039 0.000 -0.058 0.000 -0.096 0.000 -0.023 timthetatman 0.000 -0.039 0.000 -0.034 0.000 -0.060 0.000 -0.066 drose 0.000 -0.039 0.000 -0.009 0.000 -0.001 0.000 -0.011 Zedd 0.000 -0.039 0.000 -0.005 0.000 -0.001 0.003 0.059 jhutch1992 0.000 -0.039 0.000 0.031 0.000 -0.025 0.000 -0.023 PodSaveAmerica 0.001 -0.039 0.006 -0.082 0.000 -0.090 0.000 -0.031 NatbyNature 0.002 -0.039 0.000 -0.059 0.001 -0.075 0.000 -0.079 brithume 0.010 -0.039 0.000 -0.049 0.000 -0.061 0.000 -0.055 2chainz 0.000 -0.039 0.003 -0.046 0.000 -0.047 0.005 0.040 RyanGosling 0.000 -0.039 0.000 -0.020 0.001 -0.061 0.000 -0.031 SennheiserUSA 0.000 -0.039 0.000 -0.020 0.000 -0.011 0.000 -0.050 shaunwhite 0.000 -0.039 0.004 -0.007 0.000 -0.025 0.000 -0.012 AprilDRyan 0.000 -0.039 0.000 0.001 0.000 -0.032 0.000 0.035 akaWorf 0.000 -0.039 0.000 0.019 0.000 0.025 0.000 0.002 Terminix 0.000 -0.039 0.000 0.052 0.000 0.004 0.000 0.035 jaysonst 0.000 -0.039 0.000 -0.047 0.000 0.000 0.000 0.023 JohnMayer 0.000 -0.039 0.000 -0.012 0.000 -0.005 0.003 -0.028 Predicting Mental Health from Followed Accounts: SUPPLEMENT 87

Warcraft 0.003 -0.039 0.006 0.034 0.000 0.051 0.000 -0.021 CoolerMaster 0.001 -0.038 0.000 -0.054 0.000 -0.053 0.000 0.014 OpTic_Scumper 0.000 -0.038 0.001 -0.019 0.000 -0.070 0.000 -0.023 SteveNash 0.000 -0.038 0.000 -0.019 0.000 -0.031 0.000 -0.027 enews 0.000 -0.038 0.000 0.015 0.000 -0.020 0.000 -0.012 TomCruise 0.000 -0.038 0.000 0.033 0.000 0.042 0.000 0.028 JerrySeinfeld 0.008 -0.038 0.008 0.039 0.000 -0.006 0.000 0.040 rcobb18 0.000 -0.038 0.000 -0.066 0.000 -0.096 0.000 -0.001 BNightengale 0.000 -0.038 0.000 -0.066 0.000 -0.033 0.000 -0.047 JaredAllen69 0.000 -0.038 0.002 -0.055 0.001 -0.026 0.001 -0.011 MiamiHEAT 0.000 -0.038 0.004 -0.052 0.000 -0.026 0.000 -0.022 Trick2g 0.000 -0.038 0.003 -0.046 0.000 -0.065 0.000 -0.053 AdrianneCurry 0.000 -0.038 0.000 -0.029 0.000 -0.041 0.001 -0.016 Darkness429 0.000 -0.038 0.000 -0.021 0.001 -0.057 0.000 0.020 CalvinKlein 0.000 -0.038 0.000 -0.021 0.000 -0.049 0.000 0.010 NCIXdotCOM 0.010 -0.038 0.000 -0.018 0.000 0.022 0.000 0.010 hotelsdotcom 0.002 -0.038 0.000 -0.015 0.000 -0.057 0.000 -0.022 AAofficial 0.000 -0.038 0.000 -0.015 0.000 -0.010 0.000 0.067 GolfDigest 0.000 -0.038 0.000 -0.012 0.000 -0.081 0.000 -0.032 Phandroid 0.000 -0.038 0.000 0.010 0.000 0.022 0.000 -0.001 RitaOra 0.000 -0.038 0.000 0.016 0.000 0.006 0.000 -0.001 iontv 0.000 -0.038 0.000 0.033 0.000 0.022 0.000 0.067 GunWinner 0.000 -0.038 0.000 0.033 0.000 0.037 0.000 0.015 OpTic_DKarma 0.000 -0.038 0.000 -0.013 0.000 -0.062 0.001 -0.026 BungieHelp 0.000 -0.038 0.000 -0.004 0.000 -0.044 0.000 -0.035 slpng_giants 0.000 -0.038 0.000 0.001 0.000 0.000 0.000 0.006 chrislhayes 0.002 -0.038 0.003 0.021 0.001 -0.072 0.000 -0.002 whoismrrobot 0.000 -0.038 0.000 -0.043 0.000 -0.025 0.000 -0.055 hopesolo 0.000 -0.037 0.000 -0.015 0.000 -0.025 0.001 -0.026 Loudwire 0.000 -0.037 0.000 -0.013 0.000 0.015 0.000 0.066 Predicting Mental Health from Followed Accounts: SUPPLEMENT 88

bflay 0.000 -0.037 0.006 0.052 0.000 -0.032 0.003 0.040 RayNarvaezJr 0.000 -0.037 0.000 -0.068 0.000 -0.013 0.000 -0.031 MicrosoftStore 0.000 -0.037 0.000 0.004 0.000 -0.037 0.000 0.016 ricky_martin 0.000 -0.037 0.004 0.029 0.000 0.046 0.000 0.051 elizabethforma 0.000 -0.037 0.004 0.032 0.000 0.033 0.003 0.010 AJEnglish 0.000 -0.036 0.000 0.029 0.000 0.003 0.000 -0.012 nealbrennan 0.000 -0.036 0.000 -0.072 0.000 -0.061 0.000 -0.036 ramonashelburne 0.000 -0.036 0.000 -0.069 0.000 -0.097 0.000 -0.074 Rachel__Nichols 0.000 -0.036 0.000 -0.036 0.000 0.011 0.000 -0.022 BacheloretteABC 0.000 -0.036 0.000 -0.025 0.000 -0.039 0.000 0.035 TopherSpiro 0.000 -0.036 0.000 -0.012 0.000 -0.061 0.000 -0.017 Excision 0.000 -0.036 0.001 0.001 0.000 0.004 0.000 -0.003 tmorello 0.000 -0.036 0.000 0.024 0.000 -0.004 0.000 0.064 nikestore 0.001 -0.036 0.000 -0.009 0.000 -0.017 0.000 0.019 Delta 0.000 -0.036 0.000 -0.029 0.000 -0.044 0.000 -0.039 robkardashian 0.000 -0.036 0.000 -0.022 0.000 -0.037 0.003 -0.006 DougJones 0.000 -0.036 0.000 0.003 0.000 -0.075 0.002 -0.047 ColinCowherd 0.000 -0.036 0.000 0.016 0.001 0.037 0.000 0.015 McDonalds 0.000 -0.036 0.000 0.040 0.000 -0.031 0.000 0.017 desusnice 0.000 -0.036 0.004 -0.095 0.000 -0.015 0.000 -0.038 Grantland33 0.000 -0.036 0.000 -0.033 0.000 -0.031 0.000 -0.020 LaurenCohan 0.006 -0.036 0.000 -0.029 0.000 -0.031 0.000 0.001 JeffPassan 0.000 -0.035 0.000 -0.058 0.000 -0.010 0.000 0.004 SashaBanksWWE 0.000 -0.035 0.000 -0.055 0.000 -0.065 0.000 -0.099 HEELZiggler 0.000 -0.035 0.000 -0.055 0.000 -0.065 0.000 -0.099 Noahsyndergaard 0.000 -0.035 0.000 -0.052 0.000 -0.041 0.000 -0.016 Y_Strahovski 0.000 -0.035 0.005 -0.043 0.000 -0.049 0.000 0.004 IAmLindsayJones 0.007 -0.035 0.000 -0.041 0.000 -0.018 0.004 -0.063 FinnBalor 0.000 -0.035 0.000 -0.038 0.000 -0.057 0.003 -0.079 TweetsofOld 0.000 -0.035 0.005 -0.038 0.000 -0.041 0.000 -0.079 Predicting Mental Health from Followed Accounts: SUPPLEMENT 89

SIChrisMannix 0.008 -0.035 0.000 -0.035 0.000 -0.088 0.000 -0.037 OregonBaseball 0.000 -0.035 0.000 -0.035 0.000 -0.057 0.000 -0.058 Pendulum 0.000 -0.035 0.003 -0.032 0.000 -0.033 0.000 -0.027 latimes 0.000 -0.035 0.001 -0.024 0.000 -0.049 0.010 -0.063 mikeroweworks 0.000 -0.035 0.000 -0.024 0.000 -0.033 0.000 -0.022 AETV 0.000 -0.035 0.000 -0.018 0.000 -0.002 0.000 -0.022 Ticketmaster 0.003 -0.035 0.000 0.005 0.000 -0.018 0.000 -0.006 MIWband 0.002 -0.035 0.000 0.013 0.000 0.029 0.000 0.030 ontargetmagazin 0.000 -0.035 0.000 0.030 0.000 0.037 0.000 0.015 MagicJohnson 0.007 -0.035 0.003 -0.012 0.000 -0.036 0.000 -0.031 Treyarch 0.000 -0.035 0.000 -0.034 0.000 -0.066 0.006 -0.034 JerryRice 0.003 -0.035 0.003 -0.068 0.000 -0.038 0.000 -0.048 GuildWars2 0.000 -0.035 0.000 -0.037 0.000 -0.038 0.000 -0.044 GUNNAROptiks 0.000 -0.035 0.000 -0.034 0.000 -0.065 0.000 -0.031 EyeOfJackieChan 0.000 -0.035 0.000 -0.034 0.000 -0.052 0.000 -0.075 daveweigel 0.000 -0.035 0.000 -0.032 0.000 -0.065 0.000 -0.013 TheSharkDaymond 0.000 -0.035 0.000 -0.025 0.000 -0.025 0.000 -0.035 OpTicH3CZ 0.000 -0.035 0.000 -0.022 0.000 -0.085 0.000 -0.018 ProoFJC 0.002 -0.035 0.000 -0.015 0.000 -0.072 0.003 -0.048 twentyonepilots 0.000 -0.035 0.005 -0.003 0.000 0.008 0.000 0.004 UberFacts 0.000 -0.035 0.001 0.013 0.000 0.024 0.000 0.013 GeoffLRamsey 0.000 -0.034 0.000 -0.056 0.000 -0.020 0.007 -0.001 ColIegeStudent 0.000 -0.034 0.000 -0.023 0.000 0.007 0.000 -0.019 Disney 0.000 -0.034 0.000 -0.013 0.000 -0.026 0.000 -0.066 Lesdoggg 0.000 -0.034 0.000 0.038 0.000 -0.002 0.000 0.016 RollingStone 0.002 -0.034 0.002 -0.004 0.000 -0.022 0.000 -0.003 macklemore 0.004 -0.034 0.007 0.070 0.000 0.062 0.000 0.033 ZOTAC 0.000 -0.034 0.000 -0.035 0.000 -0.025 0.000 0.052 iraglass 0.000 -0.034 0.000 -0.026 0.000 -0.031 0.000 -0.014 OfficialPCMR 0.017 -0.034 0.008 -0.069 0.000 -0.041 0.000 -0.080 Predicting Mental Health from Followed Accounts: SUPPLEMENT 90

InfinityWard 0.000 -0.034 0.000 -0.060 0.000 -0.063 0.000 -0.048 Bharper3407 0.002 -0.034 0.001 -0.062 0.000 -0.047 0.000 -0.031 samsmith 0.000 -0.034 0.000 -0.036 0.000 0.054 0.000 -0.031 jvn 0.000 -0.034 0.000 -0.028 0.000 -0.039 0.000 -0.060 adamlambert 0.000 -0.034 0.000 0.001 0.000 -0.018 0.000 0.021 georgelopez 0.000 -0.034 0.000 0.008 0.000 0.054 0.000 0.012 Pinterest 0.000 -0.034 0.000 0.037 0.000 0.061 0.000 -0.036 KariByron 0.000 -0.033 0.000 -0.034 0.000 -0.043 0.000 0.032 KennyOmegamanX 0.000 -0.033 0.000 -0.083 0.000 0.006 0.000 -0.094 Redistrict 0.000 -0.033 0.000 -0.052 0.000 -0.073 0.000 0.010 JimCantore 0.000 -0.033 0.000 -0.046 0.000 -0.088 0.011 -0.073 DuvalMagic 0.000 -0.033 0.000 -0.043 0.000 -0.033 0.000 -0.011 TGowdySC 0.000 -0.033 0.000 -0.043 0.000 -0.033 0.000 -0.032 IDF 0.000 -0.033 0.007 -0.038 0.000 -0.002 0.003 -0.063 vampireweekend 0.000 -0.033 0.000 -0.032 0.000 -0.033 0.000 -0.027 RLGRIME 0.000 -0.033 0.000 -0.032 0.000 -0.026 0.000 -0.016 MLGPuckett 0.001 -0.033 0.000 -0.018 0.000 -0.049 0.001 -0.047 HomeDepot 0.005 -0.033 0.000 -0.018 0.000 -0.018 0.000 -0.047 3LAU 0.000 -0.033 0.000 -0.015 0.000 -0.026 0.000 -0.032 jeremymckinnon 0.002 -0.033 0.000 -0.015 0.000 -0.002 0.000 0.036 madeon 0.000 -0.033 0.000 -0.012 0.000 -0.018 0.006 -0.016 Fluxpavilion 0.004 -0.033 0.000 -0.009 0.000 -0.026 0.000 -0.016 TriciaLockwood 0.000 -0.033 0.001 0.008 0.000 0.022 0.000 -0.058 Mark_Sheppard 0.000 -0.033 0.005 0.013 0.000 0.029 0.000 -0.042 EASPORTSFIFA 0.000 -0.032 0.005 -0.037 0.000 0.028 0.000 0.000 OpTicMiDNiTE 0.000 -0.032 0.000 -0.020 0.000 -0.032 0.000 -0.066 GhostStoryGames 0.000 -0.032 0.000 0.019 0.000 -0.018 0.000 -0.048 VeraSweeney 0.002 -0.032 0.000 0.052 0.000 0.008 0.000 0.053 ABC 0.000 -0.032 0.000 -0.021 0.000 -0.031 0.015 -0.041 kylegriffin1 0.003 -0.032 0.001 0.011 0.000 -0.042 0.000 0.021 Predicting Mental Health from Followed Accounts: SUPPLEMENT 91

SpaceX 0.000 -0.032 0.000 -0.021 0.000 -0.058 0.002 -0.028 TheEconomist 0.000 -0.032 0.000 0.038 0.000 0.011 0.000 0.023 Gizmodo 0.006 -0.032 0.000 -0.031 0.000 -0.073 0.000 -0.010 EFF 0.000 -0.032 0.001 0.004 0.000 0.012 0.000 0.029 OldTakesExposed 0.001 -0.032 0.000 -0.065 0.000 -0.062 0.000 -0.055 TheYoungTurks 0.000 -0.032 0.000 0.007 0.000 0.006 0.000 -0.035 Alt_CDC 0.000 -0.032 0.000 0.019 0.000 -0.012 0.001 0.048 LinusTech 0.002 -0.031 0.000 -0.045 0.000 -0.026 0.000 -0.034 ashleytisdale 0.000 -0.031 0.005 -0.001 0.000 -0.097 0.000 0.010 VinceZampella 0.000 -0.031 0.000 -0.051 0.000 -0.039 0.000 -0.022 sWooZ1e 0.006 -0.031 0.000 -0.038 0.000 -0.054 0.001 -0.022 Sarahchadwickk 0.000 -0.031 0.000 -0.007 0.000 -0.025 0.000 -0.017 coachella 0.006 -0.031 0.001 -0.007 0.000 0.047 0.000 -0.055 levine 0.000 -0.031 0.002 0.013 0.000 -0.004 0.000 -0.022 BingRewards 0.004 -0.031 0.014 -0.021 0.000 -0.021 0.000 -0.031 barstoolsports 0.000 -0.031 0.000 -0.006 0.000 0.083 0.000 -0.016 peter_king 0.000 -0.031 0.000 -0.056 0.000 -0.007 0.000 0.032 NateSilver538 0.000 -0.031 0.003 -0.013 0.000 -0.022 0.002 0.033 nvidia 0.003 -0.030 0.000 -0.044 0.000 -0.065 0.000 0.016 cracked 0.000 -0.030 0.000 -0.038 0.000 -0.014 0.003 -0.016 WarrenBuffett 0.000 -0.030 0.000 -0.068 0.000 -0.091 0.000 -0.022 Imaqtpielol 0.000 -0.030 0.000 -0.029 0.000 0.008 0.000 -0.022 usairforce 0.000 -0.030 0.000 -0.010 0.000 -0.072 0.000 -0.013 JKCorden 0.000 -0.030 0.000 0.002 0.000 0.015 0.000 -0.004 nikebasketball 0.000 -0.030 0.000 0.014 0.000 -0.025 0.000 -0.009 VanessaHudgens 0.000 -0.030 0.000 0.021 0.000 -0.038 0.000 -0.004 XboxSupport 0.000 -0.030 0.004 -0.041 0.000 -0.057 0.000 -0.038 SCOTUSblog 0.007 -0.030 0.000 -0.072 0.000 -0.049 0.000 -0.027 SarahMGellar 0.000 -0.030 0.000 -0.043 0.000 -0.033 0.001 -0.042 TurnerSportsEJ 0.000 -0.030 0.000 -0.032 0.000 -0.065 0.000 -0.079 Predicting Mental Health from Followed Accounts: SUPPLEMENT 92

thereallisaann 0.001 -0.030 0.000 -0.032 0.000 -0.026 0.000 -0.016 torproject 0.000 -0.030 0.006 -0.032 0.000 0.022 0.000 0.004 EASPORTS_MUT 0.000 -0.030 0.000 -0.026 0.000 -0.065 0.003 -0.068 id_593370001 0.000 -0.030 0.000 -0.024 0.000 -0.026 0.000 -0.001 philivey 0.000 -0.030 0.000 -0.004 0.000 -0.010 0.000 -0.022 CAH 0.000 -0.030 0.000 0.050 0.000 0.014 0.000 -0.022 SenDuckworth 0.000 -0.030 0.000 0.056 0.000 0.014 0.000 -0.001 RevRunWisdom 0.000 -0.030 0.007 0.041 0.001 0.056 0.000 0.016 Halo 0.007 -0.029 0.000 -0.030 0.000 -0.055 0.000 -0.038 PhilJackson11 0.000 -0.029 0.000 -0.040 0.000 -0.087 0.000 -0.072 6BillionPeople 0.000 -0.029 0.000 -0.038 0.000 -0.044 0.000 -0.026 th3j35t3r 0.000 -0.029 0.004 0.001 0.000 -0.006 0.003 0.027 tim_cook 0.000 -0.029 0.000 -0.052 0.000 -0.045 0.000 -0.056 OMGFacts 0.002 -0.029 0.000 0.023 0.000 0.017 0.000 0.038 PostMalone 0.000 -0.029 0.003 -0.043 0.001 0.048 0.001 -0.030 amazon 0.002 -0.029 0.000 -0.012 0.000 0.013 0.000 -0.034 kalpenn 0.004 -0.029 0.000 -0.007 0.000 0.022 0.000 0.020 TreySongz 0.000 -0.029 0.000 0.014 0.000 0.010 0.000 0.012 defjam 0.000 -0.029 0.002 -0.033 0.000 -0.011 0.000 0.026 GoldenboyFTW 0.000 -0.029 0.000 0.006 0.000 -0.039 0.000 -0.055 laurenduca 0.001 -0.029 0.000 0.013 0.000 -0.054 0.000 -0.022 dnassysocial 0.005 -0.029 0.000 0.034 0.000 0.032 0.000 -0.022 OpTicGaming 0.000 -0.028 0.000 -0.032 0.000 -0.047 0.002 -0.053 benjaminwittes 0.000 -0.028 0.000 0.027 0.000 -0.020 0.005 0.043 PlayOverwatch 0.003 -0.028 0.000 -0.026 0.000 -0.058 0.014 -0.046 woot 0.002 -0.028 0.004 -0.064 0.000 -0.095 0.000 0.005 firefox 0.000 -0.028 0.000 0.002 0.000 -0.031 0.001 0.008 joelcomm 0.000 -0.028 0.005 0.004 0.000 -0.025 0.000 -0.024 ddlovato 0.005 -0.028 0.000 0.048 0.000 0.046 0.004 0.028 Nike 0.000 -0.028 0.001 -0.018 0.000 -0.020 0.004 -0.034 Predicting Mental Health from Followed Accounts: SUPPLEMENT 93

IJasonAlexander 0.003 -0.028 0.004 0.003 0.000 -0.026 0.000 -0.004 WalkingDead_AMC 0.006 -0.028 0.000 -0.042 0.000 -0.025 0.002 0.042 Horse_ebooks 0.000 -0.028 0.000 -0.037 0.000 -0.065 0.000 -0.084 MSNBC 0.000 -0.028 0.001 -0.025 0.000 -0.065 0.000 -0.044 DadBoner 0.000 -0.028 0.000 -0.020 0.000 -0.085 0.000 0.013 DonRickles 0.000 -0.028 0.000 -0.001 0.000 0.015 0.000 0.013 JoeDeLuca 0.000 -0.028 0.000 0.004 0.000 -0.045 0.000 -0.018 NBCTheVoice 0.000 -0.028 0.000 0.055 0.000 0.075 0.000 0.013 Cut4 0.000 -0.028 0.000 -0.078 0.000 -0.011 0.000 -0.060 ESPNStatsInfo 0.000 -0.028 0.000 -0.032 0.000 -0.011 0.000 -0.028 BethesdaStudios 0.001 -0.028 0.000 -0.023 0.000 -0.011 0.000 -0.057 questlove 0.000 -0.028 0.006 0.050 0.000 0.024 0.000 0.041 gameinformer 0.002 -0.028 0.000 -0.010 0.000 -0.003 0.000 -0.027 YourAnonNews 0.000 -0.027 0.000 -0.031 0.000 -0.003 0.001 -0.035 VP44 0.000 -0.027 0.070 0.017 0.000 -0.036 0.000 -0.023 Xbox 0.000 -0.027 0.000 -0.035 0.000 -0.029 0.000 -0.010 jimjefferies 0.000 -0.027 0.000 -0.026 0.000 0.006 0.000 -0.010 Cristiano 0.000 -0.027 0.000 -0.015 0.000 -0.006 0.000 0.015 TomPerez 0.000 -0.027 0.000 -0.013 0.000 -0.056 0.000 -0.031 soledadobrien 0.007 -0.027 0.008 -0.004 0.000 -0.050 0.000 -0.064 BorowitzReport 0.000 -0.027 0.000 0.003 0.000 0.000 0.000 0.015 theMMQB 0.000 -0.027 0.000 -0.063 0.000 0.022 0.000 0.051 UWMadison 0.000 -0.027 0.000 -0.052 0.000 -0.065 0.000 -0.037 GottliebShow 0.000 -0.027 0.000 -0.046 0.000 -0.057 0.000 -0.001 Rainbow6Game 0.001 -0.027 0.000 -0.046 0.000 -0.049 0.008 -0.047 KailLowry 0.000 -0.027 0.000 -0.043 0.000 -0.018 0.000 0.010 woodypaige 0.007 -0.027 0.013 -0.041 0.000 -0.057 0.000 -0.022 TESOnline 0.000 -0.027 0.000 -0.032 0.000 -0.002 0.000 0.010 WorldBestGaming 0.000 -0.027 0.000 -0.029 0.000 -0.065 0.000 -0.047 realjoeyfatone 0.000 -0.027 0.000 -0.029 0.000 -0.002 0.000 0.010 Predicting Mental Health from Followed Accounts: SUPPLEMENT 94

AllisonBJanney 0.000 -0.027 0.000 -0.024 0.000 -0.010 0.000 0.004 Whiteboy7thst 0.000 -0.027 0.000 -0.024 0.000 -0.002 0.000 -0.068 TM2LeahDawn 0.000 -0.027 0.000 -0.021 0.000 -0.002 0.000 -0.011 SNBRNMUSIC 0.001 -0.027 0.000 -0.018 0.000 -0.026 0.001 0.010 eddievanhalen 0.000 -0.027 0.000 -0.007 0.000 -0.010 0.003 0.010 HowStuffWorks 0.000 -0.027 0.000 -0.001 0.000 0.061 0.000 -0.058 generalelectric 0.004 -0.027 0.000 0.005 0.000 -0.057 0.007 0.030 denisleary 0.000 -0.027 0.007 0.010 0.000 -0.002 0.000 0.030 DavidRoads 0.000 -0.027 0.000 0.016 0.000 0.037 0.000 0.082 SaraUnderwood 0.000 -0.027 0.000 0.022 0.000 -0.033 0.000 0.004 GiulianaRancic 0.004 -0.027 0.000 0.027 0.001 0.045 0.000 0.025 DalaiLama 0.000 -0.026 0.001 0.004 0.000 0.038 0.001 -0.006 kendricklamar 0.000 -0.026 0.000 -0.008 0.000 -0.048 0.000 -0.014 GooglePlay 0.000 -0.026 0.000 -0.052 0.000 -0.071 0.000 -0.008 chelseahandler 0.000 -0.026 0.000 -0.002 0.000 -0.032 0.001 0.009 andyroddick 0.000 -0.026 0.000 -0.041 0.001 -0.104 0.000 -0.012 FF_XIV_EN 0.000 -0.026 0.000 -0.025 0.000 -0.032 0.000 -0.045 VanJones68 0.000 -0.026 0.004 -0.023 0.000 -0.018 0.000 -0.026 ItsFoodPorn 0.001 -0.026 0.000 -0.007 0.000 0.018 0.002 -0.026 nbastats 0.007 -0.026 0.000 -0.005 0.000 -0.011 0.000 -0.031 emmykinney 0.000 -0.026 0.000 -0.005 0.000 0.018 0.000 0.012 EmergencyPuppy 0.000 -0.026 0.000 0.006 0.000 -0.047 0.000 -0.007 G2A_com 0.000 -0.026 0.008 -0.069 0.001 -0.123 0.000 -0.048 thegreatkhalid 0.000 -0.026 0.000 -0.058 0.000 0.000 0.000 0.000 LupeFiasco 0.002 -0.026 0.000 -0.023 0.000 -0.026 0.000 -0.028 ZacharyQuinto 0.000 -0.026 0.000 0.025 0.000 -0.010 0.000 0.054 Bourdain 0.000 -0.026 0.001 0.015 0.000 -0.002 0.000 0.001 KendallJenner 0.000 -0.026 0.004 0.024 0.000 -0.002 0.000 0.015 iamrashidajones 0.000 -0.026 0.000 -0.023 0.000 -0.040 0.000 -0.012 engadgetgaming 0.000 -0.026 0.000 0.030 0.000 0.009 0.000 -0.031 Predicting Mental Health from Followed Accounts: SUPPLEMENT 95

oneplus 0.000 -0.026 0.000 -0.036 0.000 -0.044 0.000 0.027 geoffkeighley 0.000 -0.025 0.001 -0.022 0.000 -0.025 0.000 -0.066 Reuters 0.000 -0.025 0.003 0.009 0.000 -0.002 0.005 0.001 wolfenstein 0.002 -0.025 0.000 -0.040 0.000 0.000 0.000 0.023 tjmaxx 0.000 -0.025 0.000 0.028 0.000 -0.006 0.000 0.006 Calvinn_Hobbes 0.000 -0.025 0.000 0.057 0.000 0.069 0.000 -0.018 evilhag 0.001 -0.025 0.007 0.034 0.000 0.039 0.000 -0.011 Stranger_Things 0.000 -0.025 0.000 -0.024 0.000 -0.049 0.010 -0.054 snooki 0.000 -0.025 0.017 0.027 0.000 -0.007 0.000 0.059 jonfavs 0.001 -0.024 0.000 0.002 0.000 -0.049 0.000 -0.005 hankgreen 0.000 -0.024 0.000 -0.037 0.000 0.060 0.000 0.022 BrooklynDecker 0.000 -0.024 0.005 -0.038 0.000 -0.073 0.000 0.004 therealadamwest 0.000 -0.024 0.000 -0.032 0.000 -0.026 0.004 -0.032 JimIrsay 0.000 -0.024 0.000 -0.021 0.000 -0.018 0.000 0.010 OhMyCorgi 0.000 -0.024 0.000 -0.018 0.001 -0.010 0.000 -0.011 BellaTwins 0.000 -0.024 0.000 -0.035 0.000 -0.033 0.004 -0.063 RUSH 0.000 -0.024 0.000 -0.029 0.000 -0.010 0.000 -0.022 NVIDIASHIELD 0.000 -0.024 0.000 -0.026 0.000 -0.033 0.000 -0.006 KyleKulinski 0.000 -0.024 0.000 -0.024 0.000 0.022 0.000 -0.032 AnnaKFaris 0.000 -0.024 0.000 -0.009 0.000 -0.033 0.000 0.062 FreeformTV 0.000 -0.024 0.000 -0.007 0.000 -0.041 0.000 -0.022 buffer 0.000 -0.024 0.000 0.002 0.000 -0.002 0.000 -0.006 EverydaySexism 0.000 -0.024 0.001 0.010 0.000 0.014 0.000 -0.027 Zomboy 0.000 -0.024 0.001 0.010 0.000 0.022 0.000 0.015 id_724147846249762816 0.000 -0.024 0.000 0.027 0.000 -0.010 0.001 0.025 falloutboy 0.000 -0.024 0.001 0.036 0.000 -0.041 0.000 0.020 Lady_Prints 0.000 -0.024 0.000 0.044 0.000 0.022 0.000 0.082 TwitchPrime 0.000 -0.024 0.000 0.053 0.000 -0.010 0.000 0.010 CaseyNeistat 0.000 -0.024 0.000 -0.045 0.000 -0.005 0.000 -0.061 SenateDems 0.002 -0.024 0.000 0.016 0.000 -0.012 0.000 0.025 Predicting Mental Health from Followed Accounts: SUPPLEMENT 96

instagram 0.000 -0.024 0.004 0.011 0.002 -0.004 0.000 0.012 Kenny_Mayne 0.000 -0.023 0.000 -0.080 0.000 -0.083 0.000 -0.031 Royals 0.002 -0.023 0.000 -0.041 0.000 -0.004 0.002 -0.017 NoMansSky 0.000 -0.023 0.000 -0.038 0.000 -0.054 0.000 -0.074 flumemusic 0.000 -0.023 0.000 -0.028 0.000 -0.018 0.000 -0.003 telfieapp 0.000 -0.023 0.000 -0.025 0.000 -0.011 0.000 -0.041 Explosm 0.000 -0.023 0.000 -0.020 0.000 -0.025 0.000 -0.045 H1Z1 0.001 -0.023 0.001 -0.018 0.000 -0.061 0.000 0.007 DiannaAgron 0.000 -0.023 0.000 0.001 0.000 -0.018 0.000 -0.003 OpTicFlamesword 0.000 -0.023 0.002 0.003 0.000 -0.054 0.002 -0.041 cookiesANDclogs 0.003 -0.023 0.000 0.016 0.000 -0.011 0.001 -0.036 LukeBryanOnline 0.003 -0.023 0.000 0.019 0.000 -0.047 0.000 -0.050 ModernMom 0.000 -0.023 0.000 0.039 0.000 0.004 0.000 0.045 NASCAR 0.005 -0.023 0.001 0.063 0.000 -0.004 0.000 0.078 Wendys 0.004 -0.023 0.002 -0.045 0.000 -0.072 0.001 -0.045 FoxNews 0.005 -0.023 0.000 -0.023 0.000 -0.019 0.000 -0.033 VG247 0.000 -0.023 0.000 -0.039 0.000 -0.012 0.000 -0.040 Keurig 0.007 -0.023 0.000 -0.032 0.000 -0.058 0.000 -0.075 michaelsmith 0.000 -0.023 0.000 -0.027 0.000 -0.018 0.000 -0.026 88PKane 0.009 -0.023 0.000 -0.017 0.001 -0.058 0.000 -0.062 Grimezsz 0.000 -0.023 0.000 -0.017 0.000 0.002 0.000 -0.013 GFUELesports 0.000 -0.023 0.000 -0.008 0.000 -0.032 0.004 -0.035 JanelleMonae 0.000 -0.023 0.000 0.002 0.000 0.002 0.001 0.018 OpTicMBoZe 0.003 -0.023 0.000 0.004 0.001 -0.045 0.003 -0.044 Fritolay 0.000 -0.023 0.000 0.021 0.000 0.022 0.000 0.031 Bootleg_Stuff 0.000 -0.023 0.000 0.028 0.000 0.008 0.000 0.026 WhitneyCummings 0.000 -0.023 0.000 0.043 0.000 0.015 0.000 0.022 Fallout 0.000 -0.023 0.003 -0.047 0.000 -0.062 0.000 -0.067 andersoncooper 0.002 -0.023 0.000 -0.005 0.000 -0.024 0.000 -0.032 Dyrus 0.005 -0.023 0.015 -0.026 0.000 0.025 0.003 -0.026 Predicting Mental Health from Followed Accounts: SUPPLEMENT 97

MarriottRewards 0.000 -0.023 0.000 -0.024 0.000 -0.006 0.004 0.060 Bjergsen 0.000 -0.023 0.000 -0.017 0.000 0.025 0.000 -0.043 RealSkipBayless 0.000 -0.022 0.000 -0.043 0.000 -0.017 0.000 -0.086 common 0.000 -0.022 0.004 -0.062 0.000 -0.066 0.000 0.008 swish41 0.000 -0.022 0.000 -0.013 0.000 -0.043 0.000 -0.031 PearlJam 0.004 -0.022 0.000 0.031 0.001 0.034 0.000 0.082 people 0.000 -0.022 0.003 0.042 0.000 0.057 0.000 0.051 coldplay 0.000 -0.022 0.000 0.011 0.000 -0.003 0.000 0.017 VicenteFoxQue 0.001 -0.022 0.000 0.029 0.000 -0.036 0.000 -0.008 PlayHearthstone 0.006 -0.022 0.000 -0.010 0.001 -0.031 0.000 -0.021 RokuPlayer 0.000 -0.022 0.002 0.017 0.000 -0.005 0.000 -0.011 norm 0.004 -0.022 0.004 -0.048 0.000 -0.031 0.000 -0.024 Cloud9 0.000 -0.022 0.000 -0.025 0.000 0.033 0.000 -0.003 Alyssa_Milano 0.000 -0.022 0.000 0.034 0.000 -0.013 0.000 0.046 VineCreators 0.000 -0.022 0.004 -0.010 0.000 -0.002 0.000 -0.024 danieltosh 0.000 -0.021 0.000 0.003 0.000 0.043 0.000 0.063 minakimes 0.000 -0.021 0.007 -0.080 0.000 -0.065 0.000 -0.089 KygoMusic 0.000 -0.021 0.003 -0.058 0.000 -0.041 0.001 -0.058 Marlins_Man 0.000 -0.021 0.000 -0.038 0.000 -0.010 0.000 -0.073 EAMaddenNFL 0.003 -0.021 0.000 -0.021 0.000 -0.041 0.000 -0.016 Charalanahzard 0.000 -0.021 0.000 -0.015 0.000 -0.026 0.000 -0.016 BigBird 0.000 -0.021 0.000 -0.012 0.000 0.014 0.000 -0.032 RonFunches 0.000 -0.021 0.006 -0.009 0.000 0.037 0.000 -0.006 zoesaldana 0.000 -0.021 0.000 -0.009 0.000 0.061 0.001 -0.006 MrGeorgeWallace 0.000 -0.021 0.000 -0.007 0.000 0.006 0.000 0.015 sternshow 0.000 -0.021 0.000 -0.004 0.000 0.037 0.000 0.004 JordonGeneral 0.000 -0.021 0.000 -0.001 0.000 -0.041 0.004 -0.032 ForbesTech 0.003 -0.021 0.000 -0.001 0.000 0.053 0.000 -0.016 planetmoney 0.000 -0.021 0.000 0.005 0.000 0.053 0.000 -0.001 id_737088250808926209 0.000 -0.021 0.000 0.005 0.000 -0.002 0.000 -0.011 Predicting Mental Health from Followed Accounts: SUPPLEMENT 98

ScienceChannel 0.000 -0.021 0.001 0.008 0.000 -0.002 0.001 0.020 DaveCoulier 0.003 -0.021 0.000 0.013 0.000 0.045 0.000 0.020 splcenter 0.001 -0.021 0.000 0.016 0.000 -0.010 0.000 0.015 crayonscravings 0.000 -0.021 0.000 0.022 0.000 -0.033 0.000 0.046 JYSexton 0.001 -0.021 0.000 0.025 0.000 0.006 0.000 0.046 YikYakApp 0.000 -0.021 0.011 0.067 0.000 0.077 0.000 0.067 ArianaGrande 0.000 -0.021 0.000 -0.019 0.000 0.001 0.000 0.025 StephenCurry30 0.002 -0.021 0.000 -0.033 0.000 -0.013 0.000 -0.017 Kotaku 0.000 -0.021 0.000 -0.015 0.000 -0.004 0.001 0.012 aphromoo 0.000 -0.021 0.000 -0.025 0.000 0.011 0.000 -0.007 TeamAllegiance 0.000 -0.021 0.000 -0.023 0.000 -0.039 0.000 -0.093 id_1686638119 0.000 -0.021 0.000 -0.020 0.000 0.004 0.000 0.007 KYR_SP33DY 0.000 -0.021 0.000 -0.010 0.000 -0.039 0.000 -0.041 LoriGreiner 0.000 -0.021 0.000 0.001 0.000 -0.011 0.000 -0.003 Revolvermag 0.002 -0.021 0.000 0.008 0.000 0.018 0.000 0.045 leahmcelrath 0.001 -0.021 0.001 0.024 0.000 -0.025 0.001 0.026 Diddy 0.008 -0.021 0.000 0.035 0.000 0.004 0.004 0.047 TheCUTCH22 0.005 -0.020 0.004 -0.039 0.000 -0.005 0.005 -0.022 quintabrunson 0.000 -0.020 0.000 -0.037 0.000 -0.052 0.000 -0.053 Slate 0.000 -0.020 0.000 0.002 0.000 -0.025 0.000 -0.013 BookBub 0.000 -0.020 0.000 0.011 0.000 0.028 0.000 -0.035 Joan_Rivers 0.000 -0.020 0.000 0.014 0.000 0.008 0.000 0.018 FinnSkata 0.000 -0.020 0.000 0.021 0.000 -0.032 0.000 -0.018 janemarielynch 0.000 -0.020 0.000 0.026 0.000 0.042 0.000 0.070 KendraWilkinson 0.000 -0.020 0.000 0.031 0.000 0.002 0.000 0.040 kurteichenwald 0.000 -0.020 0.000 0.040 0.000 0.002 0.000 0.013 Titanfallgame 0.000 -0.020 0.000 -0.010 0.000 -0.066 0.000 -0.011 SeinfeldToday 0.010 -0.020 0.000 -0.003 0.000 -0.064 0.000 -0.033 grantimahara 0.000 -0.020 0.000 -0.033 0.000 -0.037 0.000 0.006 fatbellybella 0.000 -0.020 0.000 -0.026 0.000 -0.037 0.000 -0.002 Predicting Mental Health from Followed Accounts: SUPPLEMENT 99

jemelehill 0.000 -0.020 0.000 0.028 0.000 -0.006 0.000 -0.006 QtipTheAbstract 0.000 -0.020 0.000 -0.016 0.000 -0.041 0.000 0.001 sesamestreet 0.000 -0.020 0.000 0.006 0.000 0.012 0.000 0.005 hootsuite 0.000 -0.020 0.003 0.038 0.000 0.044 0.004 -0.013 HBO 0.000 -0.020 0.000 -0.054 0.000 -0.031 0.000 -0.023 FullFrontalSamB 0.000 -0.020 0.000 0.049 0.000 0.042 0.000 0.025 MeekMill 0.003 -0.020 0.000 -0.056 0.000 -0.049 0.000 0.032 JODYHiGHROLLER 0.005 -0.020 0.000 -0.020 0.000 0.040 0.000 0.042 MMFlint 0.000 -0.020 0.000 0.024 0.001 -0.005 0.000 -0.018 khloekardashian 0.000 -0.019 0.002 0.027 0.000 0.004 0.000 0.042 TwitterVideo 0.000 -0.019 0.000 -0.010 0.000 0.009 0.000 -0.019 ScHoolboyQ 0.013 -0.019 0.000 -0.033 0.000 -0.078 0.000 0.028 drdisrespect 0.000 -0.019 0.004 -0.011 0.000 -0.059 0.003 -0.019 NancyPelosi 0.000 -0.019 0.000 0.046 0.000 -0.006 0.000 0.040 MsCharlotteWWE 0.000 -0.018 0.001 -0.043 0.000 -0.057 0.000 -0.073 WillSasso 0.000 -0.018 0.000 -0.032 0.000 -0.010 0.000 -0.027 CapitalOne 0.000 -0.018 0.000 -0.029 0.000 -0.033 0.000 -0.022 CobaltStreak 0.005 -0.018 0.006 -0.029 0.000 0.053 0.000 -0.011 DremTGI 0.000 -0.018 0.000 -0.026 0.000 -0.033 0.000 0.025 KenTremendous 0.000 -0.018 0.000 -0.024 0.000 -0.073 0.000 -0.016 binance 0.000 -0.018 0.000 -0.024 0.000 -0.026 0.000 -0.032 officialmcafee 0.000 -0.018 0.000 -0.021 0.000 -0.041 0.000 -0.068 TheChainsmokers 0.000 -0.018 0.000 -0.018 0.000 -0.033 0.014 0.004 pokimanelol 0.004 -0.018 0.000 -0.015 0.000 -0.026 0.000 -0.084 dasharez0ne 0.000 -0.018 0.000 -0.007 0.000 -0.026 0.000 -0.011 LZZYHALE 0.000 -0.018 0.000 -0.007 0.000 -0.026 0.000 0.036 SwiftOnSecurity 0.000 -0.018 0.000 0.002 0.000 -0.041 0.000 0.015 clint_dempsey 0.000 -0.018 0.000 0.005 0.000 -0.057 0.000 -0.006 Zappos 0.000 -0.018 0.000 0.005 0.000 -0.026 0.000 0.046 FreedomofPress 0.000 -0.018 0.000 0.013 0.000 -0.041 0.000 -0.016 Predicting Mental Health from Followed Accounts: SUPPLEMENT 100

FearlessRecords 0.000 -0.018 0.000 0.025 0.000 0.014 0.000 0.030 tomwaits 0.000 -0.018 0.000 0.036 0.000 0.037 0.000 0.072 BenFolds 0.000 -0.018 0.000 0.050 0.000 0.022 0.001 0.046 TCL_USA 0.000 -0.018 0.000 0.029 0.000 -0.025 0.003 0.069 CaptAndrewLuck 0.000 -0.018 0.000 -0.062 0.000 -0.090 0.000 -0.026 googlephotos 0.002 -0.018 0.001 -0.046 0.000 -0.068 0.001 -0.041 blackmirror 0.005 -0.018 0.000 -0.041 0.000 -0.054 0.002 -0.088 ToryBelleci 0.000 -0.018 0.000 -0.033 0.000 -0.039 0.000 0.016 Psych_USA 0.000 -0.018 0.000 -0.031 0.000 -0.018 0.000 -0.036 KellyannePolls 0.003 -0.018 0.000 -0.028 0.000 0.004 0.000 -0.007 ChelseaHouska 0.000 -0.018 0.000 -0.025 0.000 -0.004 0.000 0.002 PBandJenelley_1 0.000 -0.018 0.000 -0.025 0.000 -0.004 0.000 0.002 tpolamalu 0.000 -0.018 0.000 -0.023 0.001 -0.011 0.000 0.021 ggreenwald 0.000 -0.018 0.000 -0.020 0.000 -0.039 0.000 0.016 scifri 0.000 -0.018 0.000 -0.018 0.000 -0.039 0.000 -0.003 lolesports 0.000 -0.018 0.000 -0.007 0.000 -0.011 0.000 0.021 TWSNOW 0.000 -0.018 0.000 -0.005 0.000 0.004 0.001 -0.017 isaiahmustafa 0.000 -0.018 0.000 -0.002 0.000 -0.004 0.000 0.026 kevinolearytv 0.000 -0.018 0.000 -0.002 0.000 -0.004 0.000 -0.022 daniellefishel 0.000 -0.018 0.001 0.003 0.001 -0.011 0.000 0.049 BretWeinstein 0.000 -0.018 0.000 0.003 0.000 0.054 0.000 -0.026 1inventionaday 0.000 -0.018 0.000 0.011 0.000 0.025 0.000 -0.007 jeffgerstmann 0.000 -0.018 0.002 0.039 0.000 -0.011 0.001 0.030 MagicalSiblings 0.000 -0.018 0.000 0.099 0.000 0.025 0.000 0.049 MLBNetwork 0.000 -0.018 0.000 -0.045 0.000 0.010 0.000 -0.023 jadande 0.000 -0.018 0.000 -0.026 0.000 -0.043 0.000 -0.038 alexisohanian 0.000 -0.018 0.000 -0.024 0.000 -0.060 0.000 -0.003 ObamaWhiteHouse 0.000 -0.018 0.000 0.035 0.000 -0.041 0.000 -0.022 PayPal 0.000 -0.018 0.000 -0.044 0.000 -0.078 0.000 -0.044 AlexisRenG 0.000 -0.018 0.000 -0.044 0.000 -0.018 0.000 -0.040 Predicting Mental Health from Followed Accounts: SUPPLEMENT 101

BrianWilson38 0.001 -0.018 0.000 -0.034 0.000 -0.032 0.000 -0.022 nowthisnews 0.003 -0.018 0.000 -0.025 0.000 -0.038 0.000 -0.062 CameronNewton 0.000 -0.018 0.009 -0.005 0.000 -0.012 0.000 0.009 colinmochrie 0.000 -0.018 0.000 -0.001 0.000 0.008 0.000 -0.026 pinkfloyd 0.002 -0.018 0.006 0.016 0.000 0.062 0.000 0.040 jimcramer 0.006 -0.018 0.000 0.028 0.000 -0.005 0.000 -0.009 CYBERPOWERPC 0.007 -0.018 0.003 -0.042 0.000 -0.081 0.000 0.011 Tip 0.000 -0.018 0.000 -0.033 0.000 -0.037 0.000 0.019 ESPNFC 0.000 -0.018 0.000 -0.020 0.001 0.087 0.000 0.027 lancearmstrong 0.000 -0.018 0.000 -0.015 0.000 -0.006 0.000 0.023 JessicaSimpson 0.000 -0.018 0.000 0.055 0.000 0.037 0.000 0.048 LiveNation 0.000 -0.018 0.000 0.073 0.000 0.044 0.000 0.064 TheDemocrats 0.000 -0.018 0.000 -0.001 0.000 0.013 0.000 0.030 discordapp 0.000 -0.018 0.008 0.004 0.000 -0.018 0.000 0.018 KimKardashian 0.000 -0.018 0.005 0.037 0.001 0.013 0.000 0.003 jtimberlake 0.005 -0.017 0.005 0.038 0.001 0.011 0.001 -0.016 Tesla 0.007 -0.017 0.000 -0.050 0.000 -0.060 0.000 -0.025 summit1g 0.000 -0.017 0.012 -0.013 0.000 -0.045 0.000 -0.041 diplo 0.000 -0.017 0.005 -0.007 0.000 -0.041 0.000 0.040 BrunoMars 0.003 -0.017 0.000 0.014 0.000 0.015 0.007 0.040 Windows 0.000 -0.016 0.000 -0.062 0.001 -0.079 0.000 -0.039 hodgman 0.000 -0.016 0.000 -0.040 0.000 -0.031 0.000 -0.038 runjewels 0.000 -0.016 0.000 -0.038 0.000 -0.047 0.000 -0.005 JLin7 0.007 -0.016 0.000 0.013 0.000 -0.075 0.001 -0.012 keithellison 0.004 -0.016 0.005 0.029 0.000 -0.047 0.000 0.017 Target 0.000 -0.016 0.000 0.011 0.000 -0.013 0.000 0.033 MaraWilson 0.000 -0.016 0.005 0.017 0.000 0.000 0.000 -0.035 Acosta 0.005 -0.016 0.001 0.043 0.000 -0.009 0.000 0.039 Razer 0.000 -0.016 0.000 -0.008 0.000 -0.041 0.000 -0.007 JimGaffigan 0.004 -0.016 0.000 0.017 0.000 0.030 0.000 0.064 Predicting Mental Health from Followed Accounts: SUPPLEMENT 102

bethesda 0.000 -0.016 0.005 -0.019 0.000 -0.028 0.001 -0.038 SatoshiLite 0.000 -0.016 0.003 -0.045 0.000 0.004 0.000 -0.011 ch000ch 0.000 -0.016 0.000 0.012 0.000 -0.031 0.000 0.020 DarrenCriss 0.000 -0.016 0.000 0.021 0.001 -0.001 0.000 0.020 AltHHS 0.000 -0.016 0.000 0.042 0.000 0.016 0.000 0.067 MarthaStewart 0.000 -0.016 0.000 0.093 0.000 0.063 0.000 0.059 meganamram 0.000 -0.016 0.001 0.031 0.000 -0.017 0.000 -0.047 ProBirdRights 0.000 -0.016 0.000 -0.031 0.000 -0.019 0.000 -0.064 drpepper 0.000 -0.016 0.000 -0.020 0.000 -0.037 0.000 -0.035 adtr 0.000 -0.016 0.008 -0.004 0.000 -0.006 0.000 0.035 BigBoi 0.000 -0.016 0.001 0.014 0.000 -0.006 0.000 0.015 factsionary 0.000 -0.016 0.000 0.043 0.001 0.050 0.000 0.085 NathanFillion 0.000 -0.016 0.000 0.008 0.000 0.012 0.000 0.009 JewelStaite 0.000 -0.016 0.000 -0.015 0.000 0.015 0.002 0.004 TheRealRyanHiga 0.000 -0.016 0.004 0.019 0.000 0.028 0.001 -0.018 PCMag 0.000 -0.016 0.000 -0.058 0.000 0.037 0.000 -0.016 breaking9111 0.000 -0.016 0.000 -0.055 0.000 -0.057 0.000 -0.068 elootgg 0.001 -0.016 0.000 -0.032 0.000 -0.041 0.000 -0.053 myspacetom 0.000 -0.016 0.000 -0.032 0.000 -0.026 0.001 -0.011 Muddin4Jesus 0.000 -0.016 0.000 -0.032 0.000 -0.002 0.000 0.015 JesseBWatters 0.002 -0.016 0.000 -0.021 0.000 -0.026 0.000 -0.006 Guerrilla 0.004 -0.016 0.000 -0.018 0.000 -0.057 0.003 -0.053 whitesox 0.000 -0.016 0.000 -0.018 0.001 -0.033 0.000 0.004 TSMTheOddOne 0.002 -0.016 0.005 -0.018 0.000 0.006 0.000 -0.022 Nordstrom 0.000 -0.016 0.000 -0.015 0.000 -0.002 0.000 -0.027 JSWX_ 0.002 -0.016 0.000 -0.012 0.000 -0.041 0.000 -0.042 JimmyKimmelLive 0.000 -0.016 0.002 -0.012 0.000 0.022 0.000 -0.006 BlackBerry 0.000 -0.016 0.000 -0.007 0.000 0.006 0.000 0.030 replyall 0.000 -0.016 0.000 -0.004 0.000 -0.026 0.000 -0.006 mcten 0.000 -0.016 0.000 0.002 0.001 -0.010 0.004 -0.084 Predicting Mental Health from Followed Accounts: SUPPLEMENT 103

TOMS 0.001 -0.016 0.000 0.002 0.000 -0.010 0.000 -0.006 AdventuresNurse 0.000 -0.016 0.000 0.013 0.000 0.045 0.000 0.004 sxsw 0.000 -0.016 0.000 0.019 0.000 -0.002 0.000 0.010 DanRather 0.000 -0.016 0.000 0.022 0.000 -0.049 0.003 0.015 Orbitz 0.002 -0.016 0.000 0.027 0.000 0.006 0.000 0.030 alisonhaislip 0.000 -0.016 0.000 0.033 0.000 -0.010 0.000 0.025 AngryBirds 0.000 -0.016 0.000 0.036 0.000 -0.002 0.000 -0.016 Coupons 0.000 -0.016 0.000 0.039 0.000 0.029 0.000 0.004 EucerinUS 0.000 -0.016 0.000 0.039 0.000 0.029 0.000 0.004 CoolerMasterUSA 0.000 -0.016 0.001 -0.033 0.001 -0.018 0.006 -0.022 YTCreators 0.000 -0.016 0.000 -0.028 0.000 0.018 0.000 -0.069 AnimalPlanet 0.000 -0.016 0.000 -0.023 0.001 -0.011 0.000 -0.055 Artosis 0.004 -0.016 0.000 -0.023 0.000 0.039 0.002 -0.012 LanaWWE 0.001 -0.016 0.001 -0.020 0.000 -0.047 0.000 -0.050 Mets 0.000 -0.016 0.001 -0.018 0.000 -0.004 0.000 -0.017 iamscottpage 0.000 -0.016 0.000 -0.015 0.000 0.011 0.000 -0.003 ppppolls 0.002 -0.016 0.000 0.006 0.000 -0.061 0.000 -0.022 Clayster 0.000 -0.016 0.000 0.008 0.000 -0.054 0.000 -0.031 AtlantaFalcons 0.000 -0.016 0.010 0.011 0.000 0.025 0.000 0.016 PostGradMDL 0.000 -0.016 0.000 0.013 0.000 -0.025 0.000 0.007 dgitcom 0.000 -0.016 0.000 0.019 0.000 0.011 0.002 0.045 ashleyfeinberg 0.000 -0.016 0.000 0.021 0.000 0.018 0.000 -0.036 TylerBaltierra 0.000 -0.016 0.000 0.026 0.000 0.004 0.000 0.045 patrickklepek 0.004 -0.016 0.000 0.042 0.000 0.025 0.000 -0.012 LiamPayne 0.000 -0.016 0.000 0.047 0.000 -0.047 0.000 0.021 NiallOfficial 0.000 -0.016 0.000 0.047 0.000 -0.047 0.000 0.021 1UP 0.000 -0.016 0.000 0.052 0.000 0.061 0.000 0.007 ESPNNFL 0.000 -0.016 0.000 -0.027 0.000 0.021 0.000 -0.003 SoundCloud 0.001 -0.015 0.000 -0.029 0.000 -0.020 0.000 0.020 RichardDawkins 0.000 -0.015 0.000 0.027 0.000 0.046 0.000 -0.007 Predicting Mental Health from Followed Accounts: SUPPLEMENT 104

fjamie013 0.000 -0.015 0.000 -0.014 0.000 -0.089 0.000 -0.013 Diablo 0.000 -0.015 0.000 0.007 0.000 0.039 0.000 -0.006 AnnaKendrick47 0.000 -0.014 0.000 0.023 0.000 -0.039 0.000 0.010 repjohnlewis 0.000 -0.014 0.000 0.033 0.000 -0.008 0.000 0.038 GameSpot 0.000 -0.014 0.000 -0.024 0.000 -0.010 0.000 -0.039 MythBusters 0.000 -0.014 0.000 -0.017 0.000 -0.043 0.000 0.039 youngthug 0.000 -0.014 0.000 -0.011 0.000 -0.007 0.001 0.039 bomani_jones 0.000 -0.014 0.003 -0.047 0.000 -0.087 0.000 -0.047 RadioShack 0.000 -0.014 0.004 -0.022 0.000 -0.025 0.000 0.002 CNET 0.002 -0.014 0.000 -0.020 0.000 -0.044 0.000 -0.031 MelissaJoanHart 0.000 -0.014 0.000 -0.008 0.000 -0.019 0.001 -0.018 id_738080573365702657 0.000 -0.014 0.000 0.032 0.000 0.069 0.005 0.031 KDTrey5 0.000 -0.013 0.001 0.014 0.000 -0.048 0.000 -0.008 Newegg 0.000 -0.013 0.000 -0.050 0.000 0.003 0.000 0.008 Battlefield 0.000 -0.013 0.000 -0.028 0.000 -0.092 0.002 -0.021 steam_games 0.000 -0.013 0.002 -0.063 0.001 -0.052 0.000 -0.041 E40 0.000 -0.013 0.000 -0.037 0.000 -0.025 0.000 -0.026 id_160941691 0.001 -0.013 0.000 -0.017 0.000 0.048 0.000 0.031 iHeartRadio 0.001 -0.013 0.000 0.057 0.000 0.075 0.003 0.062 AnnCoulter 0.000 -0.013 0.004 0.004 0.000 0.000 0.000 0.030 Walmart 0.000 -0.013 0.000 0.019 0.000 0.015 0.000 -0.011 hulu 0.000 -0.013 0.002 0.043 0.000 -0.015 0.000 -0.011 tiesto 0.000 -0.013 0.000 0.003 0.000 0.004 0.000 0.026 trailblazers 0.000 -0.013 0.000 0.024 0.000 -0.004 0.000 0.016 edmundmcmillen 0.000 -0.013 0.003 -0.067 0.000 0.011 0.000 0.002 DesusandMeroVL 0.000 -0.013 0.000 -0.056 0.000 -0.032 0.000 -0.007 MetroBoomin 0.000 -0.013 0.000 -0.018 0.000 -0.054 0.000 0.035 Ibra_official 0.000 -0.013 0.001 -0.010 0.000 0.032 0.000 0.045 CatelynnLowell 0.002 -0.013 0.000 0.003 0.000 -0.011 0.000 0.012 LivingSocial 0.000 -0.013 0.000 0.011 0.000 -0.061 0.000 -0.036 Predicting Mental Health from Followed Accounts: SUPPLEMENT 105

CHSommers 0.000 -0.013 0.016 0.013 0.000 -0.011 0.004 -0.031 usainbolt 0.001 -0.013 0.006 0.016 0.000 -0.039 0.008 0.049 Thrifty4nsicgal 0.000 -0.013 0.000 0.076 0.000 0.032 0.000 0.016 droid_life 0.000 -0.013 0.000 -0.049 0.001 -0.033 0.000 -0.042 JonnyBones 0.003 -0.013 0.000 -0.046 0.000 -0.041 0.000 -0.037 AmazonKindle 0.000 -0.013 0.000 -0.032 0.000 -0.073 0.001 -0.047 VinceMcMahon 0.000 -0.013 0.002 -0.032 0.000 -0.057 0.000 -0.079 ultra 0.000 -0.013 0.000 -0.032 0.000 -0.010 0.006 0.020 JenSelter 0.000 -0.013 0.001 -0.026 0.000 0.006 0.000 0.062 gaileyfrey 0.001 -0.013 0.000 -0.015 0.001 -0.065 0.000 0.004 LGUSAMobile 0.000 -0.013 0.000 -0.012 0.000 -0.041 0.000 -0.001 davidaxelrod 0.008 -0.013 0.000 -0.009 0.000 -0.026 0.000 0.025 JINX 0.000 -0.013 0.000 -0.004 0.000 -0.002 0.000 0.036 myfabolouslife 0.002 -0.013 0.000 0.002 0.000 -0.026 0.000 0.072 LEGO_Group 0.000 -0.013 0.000 0.002 0.000 -0.002 0.000 -0.022 goldenglobes 0.000 -0.013 0.000 0.005 0.000 -0.049 0.000 0.020 JohnWall 0.000 -0.013 0.000 0.005 0.000 -0.041 0.000 0.010 WIREDScience 0.000 -0.013 0.000 0.010 0.000 -0.065 0.000 0.020 MohawkFlooring 0.000 -0.013 0.001 0.016 0.000 0.022 0.000 0.030 Hanes 0.000 -0.013 0.000 0.030 0.000 0.029 0.000 -0.011 CecileRichards 0.000 -0.013 0.000 0.033 0.000 -0.010 0.000 0.020 yashar 0.000 -0.013 0.020 0.061 0.000 0.014 0.000 0.015 LinkedIn 0.000 -0.013 0.000 0.067 0.000 0.037 0.000 0.015 BillNye 0.000 -0.013 0.034 0.041 0.007 0.093 0.000 0.029 clarkgregg 0.000 -0.013 0.000 -0.019 0.000 -0.015 0.001 -0.024 unfoRETTAble 0.000 -0.013 0.003 -0.012 0.000 -0.068 0.000 -0.010 Cmdr_Hadfield 0.000 -0.013 0.001 -0.008 0.000 -0.031 0.000 0.005 ItsJoshPeck 0.000 -0.013 0.000 0.021 0.001 0.012 0.001 -0.003 redbox 0.001 -0.012 0.000 -0.023 0.000 -0.025 0.000 -0.042 TEAMEVGA 0.000 -0.012 0.000 -0.054 0.000 -0.096 0.000 -0.015 Predicting Mental Health from Followed Accounts: SUPPLEMENT 106

tarastrong 0.000 -0.012 0.006 0.019 0.000 -0.001 0.000 0.008 KidCudi 0.000 -0.012 0.018 0.023 0.000 0.033 0.000 0.073 wizkhalifa 0.001 -0.012 0.000 0.025 0.000 -0.007 0.000 0.119 KeithOlbermann 0.000 -0.011 0.000 0.033 0.001 0.018 0.002 -0.003 GhettoHikes 0.000 -0.011 0.000 -0.020 0.000 -0.050 0.002 0.019 charlieINTEL 0.000 -0.011 0.001 0.010 0.000 -0.037 0.000 -0.014 TIME 0.000 -0.011 0.000 -0.027 0.000 -0.048 0.006 -0.030 TFLN 0.000 -0.011 0.000 0.012 0.000 -0.032 0.000 0.037 kanyewest 0.000 -0.011 0.001 -0.031 0.001 0.035 0.000 -0.025 pixelatedboat 0.000 -0.011 0.000 -0.047 0.000 -0.077 0.000 -0.055 _FloridaMan 0.001 -0.011 0.003 -0.035 0.000 -0.013 0.000 0.041 BGibbles 0.000 -0.011 0.000 -0.051 0.000 0.002 0.000 -0.031 ChicagoBears 0.000 -0.011 0.000 -0.034 0.000 0.008 0.001 0.048 packers 0.000 -0.011 0.000 -0.013 0.000 -0.012 0.000 0.000 Mariners 0.011 -0.011 0.000 0.014 0.000 -0.038 0.000 -0.044 JENNIWOWW 0.000 -0.011 0.000 0.014 0.000 0.008 0.006 0.040 KeriHilson 0.000 -0.011 0.000 0.033 0.000 0.008 0.000 0.018 msjwilly 0.000 -0.011 0.000 0.043 0.000 0.008 0.000 0.075 Crutchfield 0.000 -0.011 0.000 0.043 0.000 0.042 0.000 0.040 Oatmeal 0.000 -0.011 0.000 0.001 0.000 -0.027 0.000 -0.024 TLDoublelift 0.000 -0.011 0.002 -0.033 0.000 0.001 0.005 -0.031 JamieNoTweet 0.003 -0.011 0.000 -0.027 0.000 -0.025 0.000 0.033 maroon5 0.000 -0.011 0.000 0.004 0.000 -0.020 0.000 0.015 ShamsCharania 0.006 -0.010 0.000 -0.049 0.000 -0.039 0.001 -0.031 BigGhostLtd 0.000 -0.010 0.000 -0.046 0.000 -0.032 0.000 0.026 coindesk 0.000 -0.010 0.018 -0.036 0.000 0.025 0.000 -0.017 LenovoLegion 0.000 -0.010 0.000 -0.031 0.000 -0.047 0.000 -0.069 OCZStorage 0.001 -0.010 0.000 -0.018 0.000 -0.011 0.001 0.021 id_736784706486734852 0.000 -0.010 0.000 -0.010 0.000 -0.047 0.000 -0.031 dexbonus 0.001 -0.010 0.000 -0.010 0.000 -0.018 0.000 0.002 Predicting Mental Health from Followed Accounts: SUPPLEMENT 107

getbentsaggy 0.005 -0.010 0.000 -0.010 0.000 0.004 0.000 -0.012 hmusa 0.001 -0.010 0.000 -0.010 0.000 0.039 0.000 -0.022 AlbertBrooks 0.000 -0.010 0.000 -0.002 0.000 -0.004 0.000 0.002 1future 0.000 -0.010 0.000 0.001 0.000 -0.025 0.000 0.068 PeriscopeCo 0.001 -0.010 0.004 0.001 0.000 0.004 0.000 -0.045 birbigs 0.000 -0.010 0.000 0.016 0.000 -0.011 0.000 -0.026 googleanalytics 0.000 -0.010 0.000 0.024 0.000 0.011 0.000 0.012 iJesseWilliams 0.000 -0.010 0.000 0.034 0.000 -0.004 0.000 -0.022 JamesMartinSJ 0.000 -0.010 0.000 0.042 0.000 -0.032 0.002 0.054 RealLamarOdom 0.000 -0.010 0.000 0.045 0.000 0.025 0.000 0.049 mshowalter 0.000 -0.010 0.000 0.050 0.000 0.025 0.000 -0.003 tacobell 0.014 -0.010 0.000 -0.018 0.000 -0.012 0.000 0.004 SarahKSilverman 0.001 -0.010 0.011 0.085 0.000 0.050 0.000 0.064 JalenRose 0.000 -0.010 0.000 -0.005 0.000 0.008 0.000 -0.053 prattprattpratt 0.000 -0.010 0.001 0.028 0.000 -0.004 0.003 0.017 DeionSanders 0.000 -0.010 0.009 -0.049 0.000 -0.049 0.003 -0.011 googledevs 0.000 -0.010 0.000 -0.041 0.000 -0.033 0.001 -0.032 NVIDIAEmbedded 0.000 -0.010 0.000 -0.041 0.000 -0.026 0.000 0.015 CharlesWieand 0.000 -0.010 0.010 -0.038 0.000 -0.057 0.000 -0.022 ToshibaUSA 0.000 -0.010 0.000 -0.032 0.000 -0.033 0.000 -0.016 RADickey43 0.000 -0.010 0.000 -0.029 0.000 -0.033 0.000 0.010 netskymusic 0.000 -0.010 0.005 -0.024 0.000 -0.002 0.000 -0.032 disclosure 0.000 -0.010 0.004 -0.021 0.000 -0.026 0.000 0.015 TheMindyProject 0.000 -0.010 0.000 -0.007 0.000 -0.057 0.000 -0.006 mmfa 0.000 -0.010 0.000 -0.007 0.000 0.022 0.000 0.010 OFA 0.000 -0.010 0.002 -0.004 0.000 -0.057 0.000 -0.016 TheRickWilson 0.000 -0.010 0.000 -0.001 0.000 -0.041 0.000 0.036 Space_Station 0.000 -0.010 0.000 -0.001 0.000 0.084 0.000 -0.001 DatDudeBP 0.000 -0.010 0.000 0.002 0.000 0.006 0.000 0.004 hastr0 0.000 -0.010 0.000 0.005 0.000 -0.041 0.000 -0.022 Predicting Mental Health from Followed Accounts: SUPPLEMENT 108

michellebranch 0.000 -0.010 0.000 0.008 0.001 -0.026 0.000 0.025 BadAdviceDog 0.000 -0.010 0.000 0.008 0.000 -0.010 0.000 0.025 AlexAllTimeLow 0.000 -0.010 0.000 0.008 0.000 -0.002 0.000 -0.011 AlexGaskarth 0.000 -0.010 0.000 0.008 0.000 -0.002 0.004 -0.011 CauseWereTech 0.000 -0.010 0.000 0.010 0.000 0.014 0.000 -0.006 MichellePhan 0.000 -0.010 0.000 0.010 0.000 0.014 0.000 0.036 leyawn 0.000 -0.010 0.000 0.019 0.001 0.014 0.000 0.004 bridgitmendler 0.000 -0.010 0.000 0.022 0.000 -0.033 0.002 0.062 wyclef 0.003 -0.010 0.001 0.036 0.000 0.077 0.000 0.010 NAACP 0.000 -0.010 0.000 0.039 0.000 -0.002 0.000 0.025 SattelizerGames 0.000 -0.010 0.002 0.047 0.000 0.006 0.000 0.067 aasif 0.000 -0.010 0.000 0.061 0.000 0.037 0.000 0.025 shitmydadsays 0.000 -0.010 0.000 0.007 0.000 0.031 0.000 0.020 sorola 0.000 -0.010 0.002 -0.036 0.000 0.010 0.000 0.008 masseffect 0.000 -0.010 0.000 -0.026 0.000 -0.060 0.000 -0.050 assassinscreed 0.000 -0.010 0.000 0.023 0.000 -0.013 0.000 0.012 Cheezburger 0.000 -0.010 0.000 0.027 0.000 -0.007 0.000 0.036 UN 0.001 -0.010 0.000 0.042 0.000 0.010 0.000 0.032 NVIDIAGeForce 0.001 -0.010 0.009 -0.040 0.000 -0.072 0.001 -0.052 starwars 0.000 -0.009 0.001 -0.027 0.000 0.018 0.002 0.011 CIA 0.000 -0.009 0.000 -0.029 0.000 -0.010 0.000 0.020 TechCrunch 0.002 -0.009 0.000 0.014 0.000 -0.028 0.000 -0.005 NICKIMINAJ 0.000 -0.009 0.018 0.043 0.000 -0.027 0.000 -0.033 telltalegames 0.000 -0.009 0.000 0.046 0.000 0.015 0.000 0.011 BBCBreaking 0.002 -0.009 0.002 0.004 0.000 -0.020 0.005 0.005 AchievementHunt 0.000 -0.009 0.003 -0.042 0.000 0.000 0.000 -0.002 FaZeClan 0.004 -0.009 0.003 -0.015 0.000 -0.031 0.000 -0.047 SHGames 0.000 -0.009 0.005 -0.002 0.000 -0.044 0.000 -0.051 WindhorstESPN 0.000 -0.009 0.004 0.003 0.000 0.000 0.000 -0.022 SarahCAndersen 0.005 -0.009 0.000 0.012 0.000 0.000 0.000 -0.055 Predicting Mental Health from Followed Accounts: SUPPLEMENT 109

KrisJenner 0.000 -0.009 0.001 0.012 0.000 0.012 0.000 0.027 TheWeirdWorld 0.000 -0.009 0.000 0.012 0.000 0.037 0.009 0.064 HouseDemocrats 0.000 -0.009 0.000 0.013 0.000 0.001 0.000 0.019 FortniteGame 0.000 -0.009 0.000 -0.015 0.000 0.012 0.000 -0.004 ChelseaClinton 0.004 -0.009 0.001 0.038 0.000 -0.069 0.005 -0.025 NBA2K 0.000 -0.009 0.000 -0.017 0.000 -0.065 0.006 -0.009 Discovery 0.000 -0.009 0.000 0.011 0.000 0.015 0.000 -0.040 davidguetta 0.001 -0.009 0.000 0.023 0.000 -0.005 0.000 0.035 esurance 0.000 -0.009 0.000 0.033 0.000 0.015 0.001 0.018 id_776198324747575297 0.000 -0.009 0.000 0.033 0.000 0.022 0.000 0.022 windowscentral 0.000 -0.009 0.000 0.038 0.000 -0.005 0.000 0.057 DavidBowieReal 0.000 -0.009 0.000 0.050 0.000 0.075 0.000 0.013 Adele 0.002 -0.008 0.000 0.048 0.000 0.029 0.000 0.034 googlemaps 0.000 -0.008 0.003 0.001 0.000 -0.042 0.000 -0.012 XboxP3 0.000 -0.008 0.000 0.037 0.000 -0.025 0.001 0.028 trvisXX 0.000 -0.008 0.000 -0.004 0.001 -0.045 0.000 -0.005 billyeichner 0.005 -0.008 0.000 0.009 0.000 -0.011 0.000 -0.034 YouTube 0.000 -0.008 0.000 -0.029 0.000 -0.014 0.000 0.007 amyschumer 0.000 -0.008 0.009 0.050 0.000 -0.021 0.000 -0.008 yosp 0.000 -0.008 0.000 -0.051 0.000 -0.018 0.000 0.026 jonahray 0.000 -0.008 0.002 -0.031 0.000 -0.011 0.000 -0.074 DaveChappelle 0.010 -0.008 0.000 -0.023 0.000 -0.061 0.009 0.045 boniver 0.003 -0.008 0.006 -0.020 0.000 0.025 0.000 -0.022 DJPaulyD 0.000 -0.008 0.000 -0.005 0.000 -0.011 0.000 0.068 SNLUpdate 0.003 -0.008 0.003 0.019 0.001 0.004 0.003 0.035 boring_as_heck 0.000 -0.008 0.002 0.026 0.000 -0.011 0.000 0.002 carrieunderwood 0.000 -0.008 0.000 0.034 0.001 -0.054 0.001 0.054 gwenstefani 0.000 -0.008 0.000 0.034 0.000 0.047 0.001 0.021 SamHarrisOrg 0.006 -0.008 0.000 0.037 0.000 0.047 0.000 -0.012 dbrand 0.002 -0.008 0.000 -0.045 0.000 -0.077 0.000 -0.013 Predicting Mental Health from Followed Accounts: SUPPLEMENT 110

altonbrown 0.001 -0.008 0.000 0.022 0.000 -0.003 0.000 0.044 timkaine 0.000 -0.008 0.000 0.073 0.000 0.019 0.000 0.029 IronStache 0.000 -0.008 0.000 0.003 0.000 -0.036 0.001 -0.021 HilaryDuff 0.000 -0.008 0.000 0.028 0.001 -0.036 0.004 -0.014 KylieJenner 0.000 -0.007 0.000 0.040 0.000 -0.012 0.003 0.009 MerriamWebster 0.000 -0.007 0.000 0.017 0.000 -0.010 0.000 0.002 SamsungMobileUS 0.002 -0.007 0.000 0.052 0.001 0.085 0.000 0.053 thewhitepanda 0.000 -0.007 0.000 -0.038 0.001 0.022 0.000 -0.016 NetflixIsAJoke 0.000 -0.007 0.004 -0.032 0.000 0.029 0.000 -0.027 clmazin 0.000 -0.007 0.001 -0.026 0.000 -0.026 0.000 -0.011 gwatsky 0.000 -0.007 0.001 -0.026 0.000 -0.010 0.001 -0.042 TPAIN 0.000 -0.007 0.000 -0.024 0.000 -0.026 0.000 -0.047 sprint 0.000 -0.007 0.000 -0.021 0.000 -0.033 0.000 0.025 TechGuided 0.000 -0.007 0.000 -0.018 0.000 -0.049 0.000 -0.001 GAEMS_PGE 0.000 -0.007 0.000 -0.015 0.000 -0.057 0.000 -0.037 seanseaevans 0.000 -0.007 0.004 -0.015 0.000 -0.041 0.002 0.004 Codecademy 0.000 -0.007 0.000 -0.012 0.000 -0.065 0.000 -0.073 microcenter 0.000 -0.007 0.000 -0.009 0.000 -0.026 0.000 0.046 MeteosLoL 0.000 -0.007 0.000 -0.009 0.000 0.014 0.000 0.004 Hai 0.000 -0.007 0.000 -0.009 0.000 0.014 0.000 0.004 TedRubin 0.000 -0.007 0.000 -0.007 0.000 -0.041 0.000 -0.011 id_733170759829327874 0.004 -0.007 0.000 -0.007 0.000 -0.018 0.000 -0.001 RiotJatt 0.000 -0.007 0.000 -0.004 0.000 0.053 0.000 0.004 debsylee 0.000 -0.007 0.006 0.005 0.000 -0.010 0.007 -0.027 NeedforSpeed 0.000 -0.007 0.000 0.013 0.000 -0.010 0.000 0.015 amomstake 0.000 -0.007 0.000 0.019 0.000 0.037 0.000 -0.001 TherealTaraji 0.002 -0.007 0.000 0.022 0.000 0.006 0.000 0.036 FinishLine 0.006 -0.007 0.000 0.030 0.000 -0.018 0.000 0.015 id_798234950 0.000 -0.007 0.000 0.033 0.000 0.022 0.000 0.010 BabySavers 0.000 -0.007 0.000 0.033 0.000 0.061 0.000 0.010 Predicting Mental Health from Followed Accounts: SUPPLEMENT 111

VANS_66 0.000 -0.007 0.000 0.036 0.000 0.006 0.000 0.020 LisaLampanelli 0.000 -0.007 0.000 0.039 0.001 0.053 0.000 -0.001 5minutesformom 0.000 -0.007 0.001 0.059 0.000 0.014 0.002 -0.001 TrevorProject 0.000 -0.007 0.000 0.064 0.004 0.084 0.000 0.030 RevDrBarber 0.000 -0.007 0.000 0.084 0.000 -0.018 0.002 0.072 wwwbigbaldhead 0.004 -0.007 0.015 -0.006 0.000 -0.017 0.000 0.017 ebertchicago 0.000 -0.007 0.000 0.073 0.000 0.081 0.000 0.054 VeryLonelyLuke 0.000 -0.007 0.000 -0.020 0.000 -0.019 0.000 -0.006 PokemonGoApp 0.000 -0.007 0.000 -0.040 0.000 -0.011 0.000 -0.003 yelyahwilliams 0.000 -0.007 0.000 0.020 0.000 -0.031 0.000 0.012 donaldglover 0.009 -0.006 0.000 -0.041 0.000 -0.045 0.000 -0.031 Fahrenthold 0.000 -0.006 0.000 0.046 0.000 0.018 0.000 0.011 Twitter 0.019 -0.006 0.000 0.007 0.000 0.022 0.000 0.036 NHLBruins 0.000 -0.006 0.000 -0.025 0.000 -0.052 0.000 -0.066 LegionHoops 0.000 -0.006 0.000 -0.017 0.001 0.068 0.000 -0.044 SenJohnMcCain 0.001 -0.006 0.000 0.016 0.000 -0.038 0.002 -0.004 echofoxgg 0.000 -0.006 0.000 0.016 0.000 0.022 0.000 -0.031 paulpierce34 0.000 -0.006 0.000 0.035 0.000 0.002 0.000 0.009 SquareEnix 0.000 -0.006 0.000 0.048 0.000 0.015 0.000 0.032 jack_p 0.000 -0.006 0.000 -0.067 0.000 0.000 0.006 -0.055 Oreo 0.000 -0.006 0.001 0.032 0.000 0.005 0.000 0.010 KillerMike 0.004 -0.005 0.000 -0.030 0.000 -0.031 0.003 -0.011 MichaelAvenatti 0.006 -0.005 0.000 0.004 0.000 -0.031 0.000 0.024 oldmansearch 0.000 -0.005 0.000 -0.033 0.000 -0.032 0.000 0.026 Uber 0.000 -0.005 0.000 -0.020 0.000 -0.011 0.000 -0.031 Giants 0.000 -0.005 0.000 -0.012 0.000 -0.011 0.000 -0.026 PabloTorre 0.000 -0.005 0.006 0.003 0.000 -0.011 0.000 -0.041 druidDUDE 0.000 -0.005 0.000 0.003 0.000 0.004 0.000 -0.012 kevinlove 0.000 -0.005 0.000 0.008 0.000 -0.025 0.001 -0.012 imogenheap 0.000 -0.005 0.000 0.011 0.000 0.004 0.000 0.040 Predicting Mental Health from Followed Accounts: SUPPLEMENT 112

COVERGIRL 0.000 -0.005 0.000 0.019 0.000 -0.011 0.000 0.021 KyrieIrving 0.000 -0.005 0.000 0.021 0.000 -0.047 0.003 -0.022 SaraBareilles 0.000 -0.005 0.000 0.021 0.000 0.004 0.000 0.040 id_802646542779813889 0.000 -0.005 0.000 0.024 0.000 -0.018 0.000 -0.050 BedBathBeyond 0.006 -0.005 0.000 0.024 0.000 0.039 0.000 -0.017 DonnaChaffins 0.000 -0.005 0.006 0.029 0.000 0.047 0.000 0.002 elonmusk 0.000 -0.005 0.000 -0.065 0.000 -0.059 0.000 -0.042 CocaCola 0.000 -0.005 0.000 0.011 0.000 -0.004 0.000 -0.017 MAINGEAR 0.000 -0.005 0.013 0.015 0.000 -0.009 0.000 -0.073 Google 0.000 -0.005 0.000 -0.012 0.001 -0.011 0.000 0.040 SteelSeries 0.011 -0.005 0.002 -0.022 0.000 -0.056 0.000 -0.047 NickSwardson 0.000 -0.005 0.000 -0.017 0.000 -0.044 0.000 0.002 TheAtlantic 0.000 -0.005 0.000 0.010 0.000 0.000 0.000 0.027 TimOfLegend 0.001 -0.005 0.000 0.034 0.000 0.056 0.000 -0.043 wefollow 0.000 -0.005 0.012 0.057 0.000 0.075 0.003 0.043 oliviawilde 0.000 -0.005 0.000 0.009 0.000 0.018 0.000 -0.015 chrisrock 0.000 -0.005 0.005 -0.013 0.000 0.020 0.000 -0.009 VideoGameVoters 0.005 -0.004 0.000 -0.060 0.000 -0.041 0.000 0.015 THEKIDMERO 0.000 -0.004 0.000 -0.052 0.000 -0.018 0.000 -0.022 Chilis 0.000 -0.004 0.000 -0.032 0.000 -0.033 0.000 0.025 TheEvilWithin 0.002 -0.004 0.000 -0.026 0.000 -0.018 0.000 0.020 Snoopy 0.000 -0.004 0.000 -0.024 0.000 -0.010 0.000 -0.037 ktanaka13 0.000 -0.004 0.000 -0.024 0.000 0.014 0.000 0.025 Lakers 0.000 -0.004 0.000 -0.024 0.000 0.045 0.000 0.030 AJemaineClement 0.000 -0.004 0.000 -0.015 0.000 -0.018 0.000 0.020 DyingLightGame 0.000 -0.004 0.000 -0.015 0.000 -0.010 0.000 0.036 ericbolling 0.013 -0.004 0.000 -0.009 0.000 -0.002 0.000 0.004 MPG 0.000 -0.004 0.000 -0.007 0.000 0.006 0.000 0.004 Longreads 0.000 -0.004 0.000 -0.007 0.000 0.029 0.000 -0.022 watchdogsgame 0.000 -0.004 0.000 -0.001 0.000 -0.041 0.000 0.004 Predicting Mental Health from Followed Accounts: SUPPLEMENT 113

dallascowboys 0.000 -0.004 0.000 0.010 0.000 0.014 0.000 0.015 THEsaragilbert 0.000 -0.004 0.002 0.010 0.000 0.077 0.000 0.010 MiRx 0.000 -0.004 0.000 0.013 0.000 -0.026 0.000 -0.022 NayaRivera 0.000 -0.004 0.007 0.019 0.000 0.006 0.000 0.030 aots 0.008 -0.004 0.000 0.025 0.000 0.037 0.000 0.025 marshalls 0.000 -0.004 0.000 0.030 0.001 0.022 0.008 0.025 ZAGGdaily 0.000 -0.004 0.000 0.042 0.000 0.022 0.000 0.036 BarstoolDucks 0.000 -0.004 0.013 0.044 0.000 -0.026 0.000 -0.011 7onashoestring 0.004 -0.004 0.000 0.047 0.000 0.061 0.000 0.004 ourfamlifestyle 0.000 -0.004 0.000 0.047 0.000 0.061 0.000 0.004 swingleft 0.000 -0.004 0.000 0.053 0.000 0.006 0.000 0.051 DigitalTrends 0.011 -0.004 0.000 -0.030 0.000 -0.045 0.000 -0.029 MikeTrout 0.000 -0.004 0.010 -0.007 0.000 0.020 0.000 0.036 ChloeGMoretz 0.000 -0.004 0.000 0.041 0.001 0.031 0.000 0.036 EmmaWatson 0.000 -0.004 0.000 0.003 0.000 -0.033 0.000 0.021 BustaRhymes 0.000 -0.004 0.002 0.030 0.000 0.031 0.000 0.043 ananavarro 0.003 -0.004 0.000 0.084 0.000 0.010 0.000 0.081 Joe_Gatto 0.000 -0.004 0.000 -0.029 0.000 -0.045 0.000 -0.018 richardbranson 0.000 -0.004 0.003 -0.015 0.000 -0.045 0.000 -0.044 BadAstronomer 0.000 -0.004 0.000 -0.008 0.000 -0.018 0.000 -0.048 Discover 0.000 -0.004 0.000 -0.001 0.000 -0.018 0.000 0.009 kicksonfire 0.000 -0.004 0.000 0.019 0.000 -0.025 0.000 -0.013 RepJoeKennedy 0.000 -0.004 0.000 0.035 0.000 0.048 0.000 0.035 levarburton 0.006 -0.003 0.004 0.030 0.000 0.027 0.000 0.050 Naughty_Dog 0.000 -0.003 0.003 -0.037 0.000 -0.082 0.000 0.012 googlechrome 0.003 -0.003 0.000 -0.019 0.000 -0.078 0.000 0.012 Schwarzenegger 0.000 -0.003 0.000 0.033 0.000 0.032 0.000 0.042 LILBTHEBASEDGOD 0.006 -0.003 0.019 -0.061 0.000 0.028 0.000 -0.038 NPR 0.001 -0.003 0.000 -0.001 0.000 0.019 0.000 -0.063 Alienware 0.000 -0.003 0.000 -0.012 0.000 -0.031 0.000 0.012 Predicting Mental Health from Followed Accounts: SUPPLEMENT 114

the_ironsheik 0.000 -0.003 0.000 -0.004 0.000 0.007 0.010 0.033 StationCDRKelly 0.005 -0.003 0.001 0.011 0.000 0.033 0.001 0.022 tameimpala 0.000 -0.003 0.003 -0.054 0.000 0.061 0.000 -0.026 MLBPipeline 0.007 -0.003 0.000 -0.043 0.000 -0.018 0.000 -0.026 SinghLions 0.000 -0.003 0.000 -0.031 0.000 -0.025 0.000 -0.003 MettaWorldPeace 0.010 -0.003 0.001 -0.031 0.000 0.004 0.000 0.007 JamesOKeefeIII 0.007 -0.003 0.000 -0.020 0.000 -0.025 0.000 -0.074 RealMickFoley 0.000 -0.003 0.008 0.013 0.000 -0.018 0.000 -0.036 hodakotb 0.000 -0.003 0.000 0.024 0.000 -0.004 0.000 -0.003 JanetJackson 0.000 -0.003 0.007 0.039 0.000 0.018 0.000 0.026 beatonna 0.000 -0.003 0.000 0.052 0.000 -0.004 0.000 -0.012 giantbomb 0.000 -0.003 0.000 0.060 0.000 0.039 0.000 0.021 Clorox 0.000 -0.003 0.005 0.068 0.000 0.039 0.000 0.016 MoonPie 0.000 -0.002 0.010 -0.040 0.000 -0.056 0.000 -0.031 APStylebook 0.000 -0.002 0.000 -0.006 0.000 -0.025 0.000 0.023 FloydMayweather 0.000 -0.002 0.000 -0.004 0.000 -0.031 0.000 0.006 MikePereira 0.000 -0.002 0.002 0.005 0.000 -0.006 0.000 -0.035 LeaMichele 0.000 -0.002 0.000 0.021 0.000 0.019 0.000 0.031 jimmyfallon 0.003 -0.002 0.005 0.063 0.000 0.062 0.000 0.038 LeagueOfLegends 0.000 -0.002 0.009 -0.005 0.000 0.036 0.000 -0.004 BreakingBad_AMC 0.000 -0.002 0.000 0.008 0.000 -0.015 0.000 -0.024 dominos 0.000 -0.002 0.000 0.044 0.000 0.032 0.000 0.067 feliciaday 0.000 -0.002 0.000 -0.002 0.000 0.004 0.000 -0.001 allsongs 0.000 -0.002 0.000 -0.029 0.000 -0.002 0.000 0.015 BQQuinn 0.000 -0.002 0.000 -0.021 0.000 -0.057 0.000 -0.001 ItsTheInventory 0.000 -0.002 0.001 -0.021 0.000 -0.010 0.000 -0.011 EmmyCic 0.000 -0.002 0.006 -0.018 0.000 -0.002 0.000 0.046 SalVulcano 0.000 -0.002 0.001 -0.009 0.000 -0.041 0.000 0.010 SierraClub 0.000 -0.002 0.000 -0.009 0.000 -0.010 0.003 0.025 JonHeyman 0.000 -0.002 0.003 -0.004 0.000 0.014 0.000 0.015 Predicting Mental Health from Followed Accounts: SUPPLEMENT 115

AnaKasparian 0.002 -0.002 0.001 0.002 0.000 -0.002 0.000 -0.016 BBC_TopGear 0.000 -0.002 0.000 0.005 0.000 0.014 0.000 0.004 BrittPettibone 0.000 -0.002 0.018 0.005 0.000 0.045 0.000 -0.001 IndieGala 0.000 -0.002 0.000 0.013 0.000 0.061 0.000 0.020 business 0.002 -0.002 0.000 0.013 0.000 0.061 0.000 0.025 jessetyler 0.000 -0.002 0.000 0.016 0.000 -0.033 0.000 -0.011 TimHowardGK 0.000 -0.002 0.000 0.019 0.000 -0.026 0.002 0.010 id_525312787 0.000 -0.002 0.000 0.019 0.000 0.006 0.000 0.020 TVietor08 0.002 -0.002 0.000 0.022 0.001 -0.073 0.000 -0.001 LittleDebbie 0.000 -0.002 0.000 0.022 0.000 0.014 0.000 0.020 PdxInteractive 0.000 -0.002 0.000 0.022 0.000 0.069 0.000 -0.001 pattymo 0.000 -0.002 0.000 0.025 0.000 -0.026 0.000 -0.001 HollyyLive 0.000 -0.002 0.000 0.030 0.000 -0.033 0.000 -0.022 OpTicUpdate 0.006 -0.002 0.000 0.030 0.000 -0.033 0.000 -0.022 JKap415 0.000 -0.002 0.000 0.030 0.000 -0.033 0.000 -0.022 OpTicHitch 0.000 -0.002 0.000 0.030 0.000 -0.033 0.000 -0.022 leighalexander 0.000 -0.002 0.000 0.030 0.000 -0.002 0.000 0.004 PlayersTribune 0.000 -0.002 0.000 0.030 0.000 0.006 0.000 0.020 KiLLa_Sloss 0.000 -0.002 0.000 0.036 0.000 -0.026 0.000 -0.001 Choire 0.000 -0.002 0.000 0.036 0.000 0.022 0.000 0.004 williamvsweeney 0.002 -0.002 0.006 0.044 0.000 0.053 0.000 0.077 Janefonda 0.000 -0.002 0.000 0.078 0.000 0.069 0.000 0.077 AstroKatie 0.000 -0.002 0.000 0.093 0.000 0.022 0.007 0.062 Sodapoppintv 0.000 -0.001 0.000 -0.017 0.000 -0.045 0.032 0.026 davidaldridgedc 0.000 -0.001 0.000 -0.013 0.000 -0.072 0.000 -0.088 id_147580943 0.000 -0.001 0.000 -0.008 0.000 -0.012 0.000 0.018 jon_bois 0.000 -0.001 0.000 -0.008 0.000 -0.005 0.003 -0.031 amazontechdeals 0.000 -0.001 0.000 -0.008 0.000 0.015 0.000 -0.022 tomhaberstroh 0.000 -0.001 0.000 -0.003 0.000 0.002 0.000 -0.044 JERICHO 0.000 -0.001 0.003 0.004 0.000 -0.025 0.004 -0.035 Predicting Mental Health from Followed Accounts: SUPPLEMENT 116

GUBLERNATION 0.006 -0.001 0.001 0.004 0.000 -0.025 0.001 -0.031 joeyBADASS 0.005 -0.001 0.000 0.004 0.000 0.022 0.000 0.035 Im_TheAntiTrump 0.000 -0.001 0.000 0.009 0.000 -0.045 0.000 0.013 robertherjavec 0.000 -0.001 0.000 0.009 0.000 0.022 0.000 0.004 Interior 0.000 -0.001 0.000 0.011 0.000 -0.058 0.000 -0.035 RetailMeNot 0.000 -0.001 0.000 0.019 0.000 -0.012 0.001 0.009 jumblejim 0.000 -0.001 0.000 0.033 0.000 0.042 0.000 -0.004 RandPaul 0.002 -0.001 0.000 -0.028 0.000 -0.007 0.000 -0.038 TwitchSupport 0.004 -0.001 0.000 -0.023 0.000 -0.068 0.000 -0.027 Forbes 0.000 -0.001 0.000 0.000 0.001 0.023 0.000 -0.034 CBSNews 0.000 -0.001 0.016 0.002 0.000 -0.001 0.000 0.005 PrimeVideo 0.023 -0.001 0.013 0.016 0.000 0.017 0.000 0.002 Dropbox 0.000 -0.001 0.004 -0.047 0.001 -0.082 0.000 -0.036 JohnStamos 0.000 0.000 0.000 0.036 0.000 0.040 0.001 0.047 benshapiro 0.000 0.000 0.002 -0.023 0.000 0.012 0.000 0.034 sarahkendzior 0.000 0.000 0.006 0.062 0.000 -0.020 0.000 0.050 Jon_Favreau 0.000 0.000 0.000 0.051 0.001 0.066 0.000 0.030 asvpxrocky 0.000 0.000 0.000 -0.030 0.000 -0.053 0.006 0.017 TimTebow 0.000 0.000 0.007 0.003 0.000 0.020 0.000 0.040 FoodNetwork 0.000 0.000 0.006 0.059 0.000 0.020 0.000 0.021 HomerJSimpson 0.000 0.000 0.000 -0.022 0.000 -0.044 0.000 -0.022 marcorubio 0.000 0.000 0.000 -0.004 0.000 -0.019 0.000 -0.022 NHC_Atlantic 0.000 0.000 0.000 0.019 0.000 -0.050 0.000 -0.010 BearGrylls 0.000 0.000 0.000 -0.031 0.000 0.000 0.000 0.011 id_818927131883356161 0.000 0.000 0.000 -0.017 0.000 0.012 0.000 -0.047 SBNation 0.000 0.000 0.000 0.011 0.000 0.011 0.000 0.035 AlexaBliss_WWE 0.000 0.000 0.000 -0.046 0.000 -0.061 0.004 -0.050 TheSims 0.000 0.000 0.000 -0.020 0.000 -0.011 0.000 -0.083 davidcrosss 0.000 0.000 0.000 0.011 0.000 0.011 0.000 0.035 TheScaryNature 0.000 0.000 0.000 0.011 0.000 0.018 0.001 0.021 Predicting Mental Health from Followed Accounts: SUPPLEMENT 117

KMillar15 0.000 0.000 0.001 -0.020 0.000 0.025 0.000 0.016 NintendoNYC 0.000 0.000 0.000 -0.049 0.000 -0.061 0.000 0.026 GrantWahl 0.005 0.000 0.000 -0.002 0.000 -0.032 0.000 0.007 bitwitkyle 0.000 0.000 0.001 0.006 0.000 0.047 0.000 0.073 jes_chastain 0.000 0.000 0.000 0.047 0.000 0.018 0.000 0.007 Jonathan_Blow 0.000 0.000 0.006 0.063 0.000 0.011 0.000 -0.007 billwurtz 0.000 0.000 0.000 -0.020 0.000 0.025 0.000 0.002 reddit_AMA 0.000 0.000 0.000 -0.020 0.000 0.032 0.000 0.035 ehesketh 0.005 0.000 0.000 0.060 0.000 0.025 0.000 0.054 WDCreators 0.001 0.000 0.000 -0.015 0.000 -0.054 0.006 -0.007 maddow 0.000 0.000 0.008 0.072 0.000 0.036 0.000 0.061 steveyeun 0.000 0.001 0.004 -0.012 0.000 -0.020 0.000 0.015 SeanBeeson 0.000 0.001 0.000 0.006 0.000 -0.009 0.000 -0.034 FINALLEVEL 0.000 0.001 0.000 0.027 0.000 0.051 0.000 0.028 USATODAY 0.000 0.001 0.000 0.011 0.000 -0.032 0.001 -0.004 8_Semesters 0.000 0.001 0.000 0.031 0.000 -0.005 0.000 0.022 GuyKawasaki 0.000 0.001 0.000 0.038 0.000 -0.025 0.001 0.000 Oprah 0.000 0.001 0.005 0.024 0.001 0.016 0.000 0.017 gleamapp 0.000 0.001 0.000 -0.032 0.000 -0.033 0.000 -0.042 Activision 0.000 0.001 0.003 -0.026 0.000 -0.033 0.000 -0.006 yungleann 0.004 0.001 0.000 -0.021 0.000 0.045 0.000 0.020 PlayStationEU 0.000 0.001 0.000 -0.018 0.000 -0.033 0.000 0.015 HardwareUnboxed 0.001 0.001 0.000 -0.018 0.000 -0.002 0.004 0.046 TechYESCity 0.000 0.001 0.000 -0.018 0.000 0.014 0.000 0.072 robhuebel 0.000 0.001 0.000 -0.015 0.000 0.014 0.003 -0.022 Pobelter 0.000 0.001 0.000 0.005 0.000 0.037 0.000 0.025 AliceMartin8 0.000 0.001 0.000 0.005 0.000 -0.002 0.002 0.056 JeffBryanDavis 0.000 0.001 0.003 0.005 0.000 0.022 0.000 -0.032 Audien 0.000 0.001 0.000 0.008 0.000 -0.033 0.005 0.020 4everBrandy 0.000 0.001 0.003 0.008 0.000 -0.010 0.000 0.025 Predicting Mental Health from Followed Accounts: SUPPLEMENT 118

lululemon 0.000 0.001 0.000 0.010 0.000 -0.041 0.000 -0.037 DavidBHayter 0.000 0.001 0.000 0.013 0.000 0.022 0.000 -0.022 JessicaBiel 0.000 0.001 0.002 0.016 0.000 -0.033 0.000 -0.006 Mattdavelewis 0.001 0.001 0.002 0.025 0.000 0.053 0.002 0.041 GTOmegaRacing 0.000 0.001 0.000 0.033 0.000 -0.018 0.005 0.062 PsyonixStudios 0.000 0.001 0.000 0.033 0.000 0.006 0.000 0.046 PlumeComics 0.000 0.001 0.000 0.036 0.000 0.006 0.000 -0.032 belk 0.000 0.001 0.000 0.042 0.000 0.045 0.000 -0.001 chescaleigh 0.000 0.001 0.000 0.044 0.000 0.014 0.000 0.030 alroker 0.004 0.001 0.000 0.050 0.000 -0.018 0.007 -0.011 NewYorkStateAG 0.000 0.001 0.000 0.050 0.000 -0.018 0.000 0.072 tylergposey 0.000 0.001 0.000 0.056 0.000 -0.002 0.000 0.062 larrywilmore 0.000 0.001 0.008 0.076 0.000 0.045 0.000 0.036 HIDEO_KOJIMA_EN 0.003 0.001 0.003 0.065 0.006 0.103 0.000 0.048 robdelaney 0.001 0.001 0.000 0.006 0.000 0.022 0.000 0.003 SEGA 0.000 0.001 0.004 -0.025 0.000 -0.009 0.000 0.039 DXRacer 0.000 0.002 0.004 0.006 0.000 -0.020 0.000 0.006 SenSchumer 0.000 0.002 0.000 0.034 0.001 0.000 0.000 0.030 brckhmptn 0.000 0.002 0.000 0.019 0.000 0.031 0.000 0.025 steveo 0.000 0.002 0.000 0.027 0.000 0.025 0.001 0.003 tumblr 0.000 0.002 0.000 0.031 0.000 0.042 0.000 -0.034 PPFA 0.000 0.002 0.000 0.043 0.000 -0.014 0.000 -0.023 GhostfaceKillah 0.001 0.002 0.002 -0.024 0.000 -0.025 0.000 0.031 HRC 0.000 0.002 0.000 0.077 0.003 0.100 0.000 0.048 rickygervais 0.000 0.002 0.001 0.025 0.001 0.065 0.000 0.018 trnrtips 0.000 0.002 0.003 -0.069 0.000 -0.054 0.000 0.016 CommunityTV 0.000 0.002 0.000 -0.036 0.000 -0.075 0.000 -0.031 FractalJosh 0.011 0.002 0.000 -0.007 0.000 -0.018 0.010 0.073 BillyCrystal 0.000 0.002 0.000 -0.007 0.000 -0.004 0.002 -0.022 ProJared 0.000 0.002 0.000 -0.002 0.000 -0.039 0.000 -0.031 Predicting Mental Health from Followed Accounts: SUPPLEMENT 119

pourmecoffee 0.000 0.002 0.000 -0.002 0.000 -0.018 0.000 0.021 FusionCash 0.000 0.002 0.000 -0.002 0.000 -0.011 0.000 -0.041 Swag_Winners 0.000 0.002 0.000 0.001 0.000 -0.025 0.000 -0.045 MAJORLAZER 0.000 0.002 0.000 0.006 0.000 -0.061 0.005 0.026 EvilGeniuses 0.007 0.002 0.000 0.019 0.000 -0.004 0.000 -0.003 thelaurengraham 0.001 0.002 0.000 0.021 0.000 -0.011 0.001 0.002 Fwiz 0.000 0.002 0.000 0.032 0.000 -0.032 0.000 -0.022 DragonCon 0.003 0.002 0.012 0.032 0.000 0.025 0.000 0.012 BlackSabbath 0.000 0.002 0.005 0.068 0.000 0.032 0.000 0.026 Respawn 0.000 0.003 0.007 -0.012 0.002 -0.036 0.000 -0.006 johnlegend 0.004 0.003 0.002 0.078 0.000 0.069 0.000 0.081 ClickHole 0.013 0.003 0.000 -0.053 0.000 -0.066 0.000 0.020 engadget 0.000 0.003 0.003 0.011 0.000 -0.074 0.000 0.074 VP 0.000 0.003 0.000 -0.008 0.000 -0.007 0.009 0.000 WSJ 0.000 0.003 0.000 0.002 0.000 -0.017 0.000 -0.003 BBCWorld 0.000 0.003 0.000 0.019 0.000 0.003 0.002 0.008 RandyOrton 0.000 0.003 0.007 -0.046 0.000 -0.072 0.002 -0.075 Buck 0.000 0.003 0.000 -0.034 0.000 -0.045 0.000 -0.004 Fred_Delicious 0.000 0.003 0.000 -0.025 0.000 -0.018 0.000 -0.070 internetofshit 0.000 0.003 0.000 -0.003 0.000 -0.032 0.006 0.004 margaretcho 0.000 0.004 0.002 0.069 0.000 0.031 0.000 0.037 id_822215673812119553 0.000 0.004 0.000 0.014 0.000 0.009 0.001 -0.017 OneLouderApps 0.002 0.004 0.007 -0.037 0.000 -0.040 0.000 -0.041 Sarah_Hyland 0.000 0.004 0.003 0.039 0.000 0.020 0.000 0.058 NOH8Campaign 0.000 0.004 0.001 0.057 0.003 0.131 0.000 0.017 joshgad 0.007 0.004 0.000 0.047 0.000 0.036 0.007 0.028 BernieSanders 0.004 0.004 0.004 0.011 0.000 -0.033 0.000 -0.034 WuTangClan 0.002 0.004 0.000 -0.055 0.000 -0.026 0.000 0.030 WhitlockJason 0.001 0.004 0.001 -0.032 0.000 -0.049 0.000 -0.001 FrankCaliendo 0.000 0.004 0.000 -0.029 0.000 -0.033 0.000 0.015 Predicting Mental Health from Followed Accounts: SUPPLEMENT 120

WWEBrayWyatt 0.000 0.004 0.000 -0.029 0.002 -0.010 0.000 -0.073 id_750214136236171265 0.000 0.004 0.000 -0.024 0.000 -0.010 0.000 -0.053 greggutfeld 0.000 0.004 0.002 -0.007 0.000 -0.010 0.000 -0.011 2020Panel 0.019 0.004 0.000 -0.004 0.000 -0.057 0.000 0.036 MTVGeek 0.000 0.004 0.000 0.002 0.000 -0.010 0.000 0.051 tomsegura 0.000 0.004 0.000 0.002 0.001 0.053 0.000 -0.016 NRA 0.000 0.004 0.000 0.005 0.000 -0.018 0.000 0.020 krispykreme 0.000 0.004 0.003 0.013 0.000 0.006 0.000 -0.011 HamiltonBeach 0.000 0.004 0.000 0.019 0.000 -0.033 0.000 0.062 issues 0.000 0.004 0.000 0.022 0.000 0.006 0.000 0.004 celtics 0.000 0.004 0.000 0.027 0.001 -0.010 0.003 -0.032 TychoBrahe 0.000 0.004 0.000 0.027 0.000 0.045 0.000 0.036 morewless 0.000 0.004 0.000 0.039 0.000 0.022 0.000 0.051 G_Eazy 0.000 0.004 0.000 0.047 0.000 0.006 0.002 0.020 RobynsWorld 0.000 0.004 0.000 0.053 0.000 0.022 0.000 0.020 GearsViking 0.000 0.004 0.003 0.053 0.001 0.045 0.000 0.020 CW_Arrow 0.002 0.004 0.000 0.061 0.001 0.084 0.000 0.067 Acountrydivas 0.001 0.004 0.000 0.070 0.000 0.053 0.001 0.010 RVAwonk 0.000 0.004 0.000 0.087 0.000 -0.002 0.000 0.082 Ludacris 0.000 0.004 0.000 0.025 0.000 0.033 0.000 0.057 AaronRodgers12 0.007 0.004 0.000 -0.067 0.000 -0.061 0.000 -0.033 Kasparov63 0.000 0.004 0.000 -0.024 0.000 -0.037 0.000 -0.022 miakhalifa 0.007 0.004 0.002 -0.020 0.000 -0.006 0.000 -0.092 msitweets 0.000 0.004 0.000 -0.008 0.000 -0.012 0.000 0.068 danielhowell 0.005 0.004 0.000 -0.002 0.000 0.025 0.000 -0.022 Louis_Tomlinson 0.000 0.004 0.003 0.061 0.000 0.019 0.003 0.052 thesimpleparent 0.000 0.004 0.006 0.077 0.000 0.025 0.000 -0.002 GabbyGiffords 0.000 0.004 0.005 0.079 0.000 0.025 0.001 0.043 TMobile 0.000 0.005 0.000 0.035 0.000 -0.031 0.000 -0.005 pennjillette 0.038 0.005 0.000 0.041 0.000 0.062 0.000 0.027 Predicting Mental Health from Followed Accounts: SUPPLEMENT 121

MensHumor 0.000 0.005 0.001 0.019 0.000 0.023 0.000 0.068 MTV 0.000 0.005 0.000 0.034 0.000 0.060 0.003 0.043 Rosie 0.000 0.005 0.000 0.040 0.000 0.060 0.000 0.005 terrellowens 0.000 0.005 0.000 -0.020 0.000 0.004 0.005 -0.003 TSM_Leffen 0.000 0.005 0.000 -0.012 0.000 0.025 0.000 0.012 BobRossGameDev 0.000 0.005 0.000 -0.010 0.000 -0.011 0.000 0.012 Macys 0.000 0.005 0.000 -0.010 0.000 0.004 0.000 -0.022 DCDeacon 0.000 0.005 0.000 -0.007 0.000 -0.004 0.000 0.002 Xpecial 0.000 0.005 0.000 -0.002 0.000 0.039 0.000 -0.007 WhoopiGoldberg 0.000 0.005 0.007 0.034 0.000 0.039 0.000 0.026 GreatestQuotes 0.000 0.005 0.002 0.055 0.000 0.004 0.000 0.106 CloudMom 0.000 0.005 0.006 0.073 0.000 0.032 0.000 0.059 cw_spn 0.000 0.005 0.000 0.029 0.000 0.028 0.000 0.001 bing 0.000 0.005 0.000 0.034 0.000 -0.019 0.000 0.055 TweetDeck 0.000 0.005 0.000 0.042 0.000 -0.025 0.000 0.004 thebeatles 0.000 0.005 0.000 0.051 0.000 0.028 0.000 0.051 AMD 0.000 0.005 0.001 -0.034 0.000 -0.082 0.000 0.054 xD1x 0.000 0.006 0.007 -0.063 0.000 -0.032 0.000 0.035 GamesRadar 0.000 0.006 0.005 -0.032 0.001 -0.032 0.000 0.009 HisAndHers 0.000 0.006 0.000 -0.025 0.000 -0.052 0.000 -0.048 30for30 0.000 0.006 0.000 -0.022 0.000 -0.012 0.001 0.004 Broncos 0.000 0.006 0.000 -0.010 0.000 -0.072 0.000 -0.062 swagcodespoiler 0.001 0.006 0.000 -0.005 0.001 -0.005 0.007 -0.035 katiecouric 0.001 0.006 0.000 0.004 0.000 0.002 0.000 0.022 FBI 0.002 0.006 0.000 0.016 0.000 -0.005 0.000 -0.031 MonsterEnergy 0.000 0.006 0.003 0.019 0.000 0.002 0.000 0.031 HamiltonMusical 0.004 0.006 0.027 0.021 0.000 0.028 0.000 0.018 maryjblige 0.000 0.006 0.000 0.045 0.000 0.008 0.001 0.044 IGGYAZALEA 0.000 0.006 0.000 0.047 0.000 -0.025 0.000 0.022 McConaughey 0.000 0.006 0.003 0.047 0.000 0.048 0.000 0.009 Predicting Mental Health from Followed Accounts: SUPPLEMENT 122

AllieBrosh 0.000 0.006 0.000 -0.011 0.001 -0.053 0.000 0.010 coffee_dad 0.000 0.006 0.000 0.029 0.000 0.020 0.000 -0.016 Bungie 0.000 0.006 0.001 -0.011 0.000 -0.050 0.000 -0.012 pepsi 0.000 0.006 0.010 0.080 0.000 0.038 0.000 0.034 E3 0.004 0.006 0.000 -0.046 0.000 -0.049 0.000 -0.044 DuleHill 0.000 0.007 0.000 0.002 0.000 0.028 0.002 -0.013 dylanobrien 0.002 0.007 0.000 0.044 0.000 -0.025 0.001 0.036 KellyOsbourne 0.000 0.007 0.005 0.050 0.000 0.044 0.000 0.033 ChickfilA 0.000 0.007 0.000 -0.008 0.001 -0.019 0.000 -0.018 luke_lafr 0.006 0.007 0.000 0.001 0.000 0.019 0.000 0.019 NWS 0.000 0.007 0.000 0.003 0.000 -0.031 0.000 -0.014 NevSchulman 0.000 0.007 0.001 0.034 0.000 0.019 0.000 0.031 MileyCyrus 0.000 0.007 0.014 0.034 0.000 0.022 0.000 0.034 progducto 0.000 0.007 0.000 -0.066 0.000 -0.010 0.000 0.046 TheGoodGodAbove 0.011 0.007 0.000 -0.041 0.000 -0.018 0.000 -0.042 shutupmikeginn 0.000 0.007 0.000 -0.032 0.001 -0.018 0.000 -0.027 StarTrek 0.000 0.007 0.000 -0.024 0.000 -0.018 0.000 0.015 DickieV 0.002 0.007 0.000 -0.018 0.001 -0.018 0.000 -0.006 torikelly 0.000 0.007 0.000 -0.015 0.000 -0.041 0.000 0.004 TmarTn 0.000 0.007 0.001 -0.012 0.000 -0.026 0.000 -0.022 bertkreischer 0.000 0.007 0.000 -0.012 0.000 0.045 0.000 -0.011 TiaMowry 0.000 0.007 0.000 -0.007 0.000 0.014 0.000 0.020 rogbennett 0.000 0.007 0.000 0.010 0.000 0.069 0.000 0.004 adidasalerts 0.000 0.007 0.000 0.016 0.000 -0.033 0.000 0.010 blocktogether 0.000 0.007 0.000 0.022 0.000 0.006 0.000 0.046 JerkyXP 0.000 0.007 0.004 0.027 0.000 -0.018 0.000 -0.042 GustavoSBR 0.000 0.007 0.004 0.030 0.000 0.014 0.000 0.004 GVteam 0.000 0.007 0.007 0.030 0.000 0.045 0.000 0.041 theguild 0.000 0.007 0.000 0.042 0.000 0.069 0.000 0.010 TerryGilliam 0.000 0.007 0.006 0.050 0.000 0.053 0.001 -0.006 Predicting Mental Health from Followed Accounts: SUPPLEMENT 123

punchtab 0.001 0.007 0.000 0.059 0.000 0.045 0.000 0.025 autocorrects 0.000 0.007 0.000 0.061 0.000 0.022 0.000 0.072 justfreestuff 0.000 0.007 0.000 0.067 0.000 0.053 0.000 0.046 LennyKravitz 0.000 0.007 0.000 0.070 0.002 0.061 0.000 0.087 theblackkeys 0.000 0.007 0.000 0.081 0.000 0.029 0.000 0.020 SHAQ 0.000 0.007 0.000 0.007 0.000 -0.024 0.003 0.032 Spotify 0.000 0.007 0.001 0.038 0.000 0.026 0.000 0.033 darrenrovell 0.000 0.007 0.000 0.017 0.000 0.010 0.000 0.005 MarcJSpearsESPN 0.000 0.007 0.000 -0.011 0.000 -0.096 0.000 -0.062 ASUS_ROG 0.016 0.007 0.000 -0.011 0.000 -0.025 0.000 0.016 DavidVonderhaar 0.001 0.007 0.000 0.004 0.000 -0.031 0.000 -0.023 bluthquotes 0.000 0.007 0.002 0.029 0.000 -0.007 0.000 0.059 paulkrugman 0.000 0.007 0.001 0.059 0.000 0.046 0.000 0.055 KinguinNet 0.000 0.008 0.000 -0.036 0.000 -0.075 0.000 -0.031 RZA 0.000 0.008 0.000 -0.031 0.000 -0.047 0.000 0.030 SamsungMobile 0.001 0.008 0.000 -0.002 0.000 -0.004 0.000 -0.017 TimothyDeLaG 0.001 0.008 0.000 0.001 0.000 0.047 0.000 0.040 Giancarlo818 0.000 0.008 0.000 0.013 0.000 0.011 0.000 0.026 romero 0.000 0.008 0.000 0.021 0.000 0.039 0.000 -0.007 Professorbroman 0.000 0.008 0.003 0.024 0.000 -0.047 0.000 0.002 LosFelizDaycare 0.001 0.008 0.000 0.029 0.000 -0.004 0.000 0.021 EmilyBett 0.000 0.008 0.000 0.045 0.000 0.083 0.000 0.054 humansofny 0.006 0.008 0.011 0.050 0.000 0.011 0.005 0.064 FFXVEN 0.000 0.008 0.000 0.052 0.000 0.061 0.000 0.002 CeeLoGreen 0.000 0.008 0.000 0.055 0.000 0.025 0.000 0.054 AdamSerwer 0.000 0.008 0.000 0.068 0.000 0.011 0.007 0.078 MCHammer 0.001 0.008 0.000 0.068 0.000 0.075 0.000 0.030 slickdeals 0.002 0.008 0.005 0.041 0.002 0.022 0.000 0.015 Nick_Offerman 0.000 0.008 0.000 0.061 0.002 0.064 0.000 0.046 chadfordinsider 0.000 0.008 0.000 -0.003 0.000 -0.045 0.009 -0.026 Predicting Mental Health from Followed Accounts: SUPPLEMENT 124

gracehelbig 0.000 0.008 0.000 0.009 0.000 -0.018 0.000 -0.018 DisneyAnimation 0.000 0.008 0.001 -0.046 0.000 -0.058 0.000 -0.031 nordcurrent 0.000 0.008 0.000 0.016 0.000 -0.018 0.000 0.018 PBS 0.000 0.008 0.000 0.023 0.000 -0.012 0.000 -0.009 cwgabriel 0.000 0.008 0.000 0.071 0.000 0.048 0.000 0.079 StephenAtHome 0.000 0.008 0.000 0.024 0.000 0.044 0.000 0.048 lifehacker 0.000 0.008 0.000 -0.022 0.000 -0.076 0.000 0.030 mindykaling 0.002 0.008 0.008 0.029 0.000 -0.006 0.000 -0.021 Pharrell 0.001 0.009 0.000 0.067 0.000 0.060 0.000 0.075 nytimes 0.000 0.009 0.000 0.041 0.001 -0.006 0.002 0.024 LiquidHbox 0.001 0.009 0.000 -0.062 0.000 -0.025 0.000 0.031 ClayMatthews52 0.000 0.009 0.002 -0.013 0.000 -0.031 0.000 0.023 TrueFactsStated 0.000 0.009 0.003 0.007 0.000 -0.037 0.000 0.035 TheAcademy 0.000 0.009 0.013 0.007 0.000 -0.050 0.000 -0.022 JessicaChobot 0.000 0.009 0.000 0.016 0.000 -0.019 0.000 0.011 chrisbrown 0.000 0.009 0.000 0.021 0.000 0.000 0.000 0.093 AskPlayStation 0.000 0.009 0.000 0.025 0.000 -0.037 0.000 0.072 TODAYshow 0.000 0.009 0.000 0.041 0.000 0.012 0.000 0.031 SethAbramson 0.000 0.009 0.004 0.033 0.000 -0.036 0.000 -0.041 RobRiggle 0.000 0.009 0.000 -0.032 0.000 -0.031 0.000 -0.015 Raekwon 0.001 0.009 0.000 0.002 0.000 -0.013 0.000 0.043 xtina 0.000 0.009 0.000 0.068 0.000 0.034 0.000 0.047 NianticLabs 0.000 0.010 0.002 -0.048 0.000 -0.011 0.003 -0.005 JayzTwoCents 0.001 0.010 0.000 -0.043 0.000 -0.090 0.000 -0.015 petermckinnon 0.000 0.010 0.001 -0.058 0.000 -0.057 0.000 -0.053 AesopRockWins 0.000 0.010 0.000 -0.035 0.000 0.022 0.000 0.020 GolfChannel 0.000 0.010 0.000 -0.026 0.000 -0.104 0.000 -0.068 PeanutButterGmr 0.036 0.010 0.004 -0.024 0.000 -0.049 0.000 0.046 XboxAmbassadors 0.000 0.010 0.000 -0.007 0.000 -0.002 0.000 0.025 Smiley360 0.000 0.010 0.000 -0.007 0.000 -0.002 0.000 -0.042 Predicting Mental Health from Followed Accounts: SUPPLEMENT 125

WearOSbyGoogle 0.005 0.010 0.000 -0.004 0.001 -0.002 0.000 0.004 TenergyOfficial 0.000 0.010 0.000 0.002 0.000 0.037 0.000 0.030 Caradelevingne 0.001 0.010 0.002 0.008 0.000 0.053 0.000 0.041 MattMira 0.000 0.010 0.000 0.025 0.000 0.014 0.000 0.025 MarleeMatlin 0.000 0.010 0.000 0.027 0.000 0.061 0.000 -0.011 shinobi602 0.008 0.010 0.000 0.030 0.000 -0.033 0.000 -0.006 PeripheryBand 0.020 0.010 0.000 0.030 0.000 -0.002 0.003 0.062 JahovasWitniss 0.000 0.010 0.000 0.030 0.000 -0.002 0.000 -0.037 davidfrum 0.000 0.010 0.000 0.033 0.000 -0.010 0.000 0.051 FinancialTimes 0.000 0.010 0.003 0.033 0.000 0.006 0.000 0.020 mariabamfoo 0.003 0.010 0.000 0.036 0.000 -0.002 0.000 -0.022 lambofgod 0.000 0.010 0.002 0.039 0.000 0.014 0.011 0.087 CW_TheFlash 0.000 0.010 0.000 0.044 0.002 0.061 0.000 0.062 ClassicPict 0.000 0.010 0.002 0.059 0.000 0.022 0.001 0.082 BriannaWu 0.000 0.010 0.000 0.059 0.000 0.053 0.000 -0.006 iamwandasykes 0.000 0.010 0.000 0.121 0.004 0.116 0.000 0.093 C9Mang0 0.004 0.010 0.000 -0.032 0.000 0.014 0.000 0.021 GavinFree 0.000 0.010 0.000 -0.049 0.000 0.002 0.000 0.031 oliviamunn 0.001 0.010 0.003 0.037 0.000 0.017 0.003 0.041 tarik 0.001 0.010 0.000 -0.023 0.000 -0.011 0.000 -0.003 Renner4Real 0.000 0.010 0.000 -0.007 0.000 0.025 0.000 -0.022 JackEtienne 0.000 0.010 0.000 0.013 0.000 0.032 0.000 -0.007 KegsnEggs 0.001 0.010 0.000 0.021 0.000 0.039 0.000 0.073 DanaiGurira 0.000 0.010 0.000 0.024 0.000 0.004 0.000 0.049 HiddenCash 0.000 0.010 0.001 0.026 0.000 0.047 0.000 0.007 theMoneyMatches 0.000 0.010 0.001 0.029 0.000 -0.011 0.004 0.040 MCRofficial 0.000 0.010 0.000 0.039 0.000 0.054 0.000 0.021 WelchsFruitSnck 0.000 0.010 0.004 0.063 0.000 0.032 0.000 0.021 Giveaway_Town 0.001 0.010 0.009 0.065 0.000 0.061 0.000 0.035 EnzasBargains 0.004 0.010 0.001 0.065 0.000 0.075 0.000 0.021 Predicting Mental Health from Followed Accounts: SUPPLEMENT 126

tedleo 0.007 0.010 0.000 0.073 0.000 0.054 0.001 0.030 Jenna_Marbles 0.009 0.010 0.001 0.036 0.000 0.026 0.000 0.021 CraigyFerg 0.000 0.010 0.000 0.012 0.000 0.011 0.000 0.020 iBUYPOWER 0.000 0.010 0.000 0.007 0.000 -0.068 0.000 0.047 tonyhawk 0.000 0.010 0.000 0.084 0.000 0.081 0.000 0.078 TheEllenShow 0.000 0.011 0.000 0.068 0.000 0.041 0.000 0.016 carrieffisher 0.001 0.011 0.003 0.025 0.000 0.010 0.000 -0.004 GoogleAI 0.000 0.011 0.000 -0.022 0.000 -0.065 0.000 -0.009 DashieXP 0.000 0.011 0.000 0.009 0.002 0.015 0.000 -0.013 Panthers 0.000 0.011 0.000 0.009 0.000 0.035 0.000 -0.004 YNB 0.000 0.011 0.000 0.031 0.000 0.055 0.000 0.031 thestrokes 0.000 0.011 0.000 0.035 0.000 0.035 0.000 0.000 GDeLaurentiis 0.000 0.011 0.000 0.057 0.000 0.042 0.001 0.057 NickCannon 0.000 0.011 0.000 0.062 0.000 0.048 0.000 0.070 tyrabanks 0.000 0.011 0.000 0.086 0.000 0.042 0.000 0.083 Logic301 0.012 0.011 0.000 0.052 0.000 -0.040 0.000 0.070 Etsy 0.000 0.011 0.002 0.023 0.000 0.051 0.000 -0.038 StephenAmell 0.002 0.011 0.004 0.027 0.000 0.072 0.000 0.064 ChipotleTweets 0.000 0.011 0.000 0.046 0.001 -0.022 0.000 0.027 cnni 0.000 0.011 0.000 -0.006 0.000 0.037 0.001 0.027 ThisAmerLife 0.000 0.011 0.001 0.021 0.000 -0.012 0.000 -0.002 TheCooksCook 0.000 0.011 0.004 0.025 0.000 0.050 0.000 -0.031 NBCOlympics 0.000 0.011 0.000 0.039 0.000 0.000 0.000 0.039 DavidCornDC 0.011 0.011 0.000 0.068 0.000 0.012 0.000 0.043 chrissyteigen 0.001 0.011 0.000 0.033 0.000 0.012 0.000 0.027 jordanbpeterson 0.000 0.011 0.000 -0.011 0.000 0.018 0.000 -0.008 FatKidDeals 0.000 0.011 0.000 0.042 0.000 0.038 0.000 -0.047 AndroidAuth 0.000 0.011 0.000 0.076 0.000 0.033 0.000 0.057 evleaks 0.000 0.012 0.005 -0.056 0.000 -0.107 0.002 -0.027 OriginInsider 0.000 0.012 0.000 -0.032 0.000 -0.049 0.000 -0.054 Predicting Mental Health from Followed Accounts: SUPPLEMENT 127

JamesRoday 0.000 0.012 0.002 -0.007 0.001 0.034 0.000 0.016 aishatyler 0.000 0.012 0.000 0.008 0.000 0.081 0.001 0.036 pizzahut 0.000 0.012 0.000 0.014 0.000 -0.013 0.000 0.024 Trump_Regrets 0.000 0.012 0.000 0.025 0.000 0.016 0.000 0.039 MattBellassai 0.000 0.012 0.000 0.031 0.000 -0.031 0.000 -0.003 AndrewWK 0.018 0.012 0.000 0.038 0.000 -0.007 0.000 0.078 BlizzardCS 0.000 0.012 0.000 0.040 0.000 0.021 0.011 0.003 RocketLeague 0.000 0.012 0.000 -0.026 0.001 -0.047 0.000 0.040 PTI 0.000 0.012 0.000 -0.015 0.000 0.036 0.000 0.006 Nas 0.000 0.012 0.003 -0.007 0.000 -0.020 0.000 0.054 kevinrose 0.000 0.012 0.019 0.019 0.000 0.008 0.000 0.040 mlbtraderumors 0.000 0.012 0.015 -0.031 0.000 -0.025 0.000 0.001 id_824264707641057281 0.000 0.012 0.000 0.073 0.000 0.001 0.005 0.057 BeckyLynchWWE 0.019 0.013 0.000 -0.052 0.000 -0.057 0.003 -0.073 awfulannouncing 0.000 0.013 0.000 -0.032 0.000 -0.018 0.000 0.030 crookedmedia 0.000 0.013 0.006 -0.026 0.000 -0.049 0.000 0.025 CryWasTaken 0.000 0.013 0.000 -0.026 0.001 0.053 0.000 -0.006 tavitulle 0.001 0.013 0.000 -0.001 0.000 -0.002 0.000 -0.022 brandnewrock 0.000 0.013 0.000 -0.001 0.000 0.053 0.000 0.030 nikesportswear 0.000 0.013 0.000 0.008 0.000 -0.033 0.000 -0.006 Vertagear 0.000 0.013 0.001 0.008 0.000 -0.026 0.000 -0.047 riteaid 0.000 0.013 0.000 0.010 0.000 0.014 0.000 0.041 caitylotz 0.007 0.013 0.000 0.013 0.000 0.022 0.000 0.067 Norwallmusic 0.000 0.013 0.001 0.016 0.000 0.006 0.000 0.020 AGT 0.004 0.013 0.003 0.039 0.000 -0.026 0.000 0.036 TalibKweli 0.000 0.013 0.004 0.042 0.000 0.022 0.000 0.030 Ayaan 0.006 0.013 0.000 0.044 0.000 0.077 0.000 -0.011 mountain_goats 0.000 0.013 0.000 0.053 0.000 -0.002 0.000 -0.058 thatgamecompany 0.000 0.013 0.000 0.061 0.000 0.006 0.000 0.025 dvntownsend 0.000 0.013 0.003 0.078 0.001 0.069 0.004 0.103 Predicting Mental Health from Followed Accounts: SUPPLEMENT 128

neiltyson 0.000 0.013 0.036 -0.002 0.000 0.012 0.000 -0.007 GeT_RiGhT 0.000 0.013 0.000 -0.002 0.000 -0.025 0.000 0.007 riotgames 0.000 0.013 0.000 0.008 0.000 0.061 0.000 0.040 csgo_dev 0.000 0.013 0.000 0.013 0.000 -0.004 0.000 0.016 DegicaGames 0.002 0.013 0.000 0.019 0.000 -0.039 0.000 0.035 Fandango 0.000 0.013 0.015 0.026 0.000 -0.004 0.000 0.012 CouRageJD 0.000 0.013 0.000 0.039 0.000 -0.032 0.000 -0.012 fightfortheftr 0.000 0.013 0.000 0.055 0.000 0.039 0.000 0.078 amnestyusa 0.000 0.013 0.000 0.065 0.000 0.068 0.001 0.021 RondaRousey 0.000 0.013 0.000 0.000 0.000 0.008 0.000 -0.018 RealJamesWoods 0.000 0.013 0.000 -0.020 0.000 0.002 0.000 -0.044 insomniacgames 0.000 0.013 0.000 -0.013 0.000 0.015 0.000 -0.009 gameloft 0.000 0.013 0.000 0.009 0.000 -0.025 0.000 0.004 hwinkler4real 0.000 0.013 0.000 0.016 0.000 0.042 0.000 0.004 drdrew 0.003 0.013 0.000 0.069 0.000 0.095 0.000 0.053 therealelp 0.000 0.013 0.000 -0.011 0.000 -0.016 0.001 -0.002 blakegriffin23 0.001 0.013 0.002 0.021 0.000 -0.070 0.001 0.031 PFTompkins 0.000 0.013 0.004 0.028 0.000 0.043 0.000 0.008 aliciakeys 0.000 0.013 0.000 0.044 0.001 0.033 0.010 0.073 rihanna 0.000 0.013 0.000 0.040 0.000 0.017 0.000 0.021 galifianakisz 0.005 0.013 0.012 0.028 0.000 0.017 0.009 0.064 gamasutra 0.005 0.013 0.000 0.007 0.000 0.019 0.000 -0.014 wolfpupy 0.005 0.013 0.003 0.021 0.000 0.019 0.000 0.023 SenGillibrand 0.000 0.013 0.005 0.086 0.000 0.012 0.000 0.052 shaunking 0.000 0.014 0.000 0.030 0.000 0.017 0.000 0.038 Eminem 0.000 0.014 0.007 0.055 0.000 0.044 0.000 0.065 NASA 0.002 0.014 0.000 0.022 0.000 0.031 0.000 -0.001 johnrampton 0.012 0.014 0.000 0.019 0.001 0.099 0.000 0.039 serial 0.000 0.014 0.000 0.042 0.000 0.004 0.000 0.039 DealsPlus 0.004 0.014 0.000 0.055 0.000 0.022 0.000 0.001 Predicting Mental Health from Followed Accounts: SUPPLEMENT 129

chancetherapper 0.000 0.014 0.002 -0.004 0.000 -0.021 0.000 -0.016 taylorswift13 0.000 0.014 0.000 0.055 0.001 0.033 0.000 0.055 IMDb 0.001 0.014 0.000 0.023 0.000 0.001 0.000 0.002 AgentsofSHIELD 0.000 0.014 0.002 -0.019 0.000 0.008 0.000 0.021 JayBilas 0.004 0.014 0.001 0.003 0.000 -0.020 0.000 0.006 FakeAPStylebook 0.001 0.014 0.000 0.038 0.000 0.023 0.000 -0.003 JJWatt 0.004 0.015 0.000 -0.029 0.000 -0.020 0.008 0.030 ChrisWarcraft 0.000 0.015 0.012 0.080 0.000 0.056 0.000 0.027 Staples 0.000 0.015 0.000 0.087 0.000 -0.005 0.000 0.067 intel 0.007 0.015 0.000 0.019 0.000 -0.014 0.000 0.048 billburr 0.000 0.015 0.000 -0.003 0.000 0.021 0.000 0.038 JeremyClarkson 0.000 0.015 0.001 0.025 0.000 0.078 0.000 0.053 gmail 0.005 0.015 0.012 0.033 0.000 -0.036 0.000 0.032 mradamscott 0.000 0.015 0.000 0.007 0.001 -0.027 0.005 -0.043 DisneyParks 0.000 0.015 0.003 -0.023 0.000 -0.025 0.000 -0.031 MikeJudge 0.000 0.015 0.000 -0.012 0.000 -0.011 0.000 -0.003 Andy 0.003 0.015 0.000 0.016 0.000 0.018 0.000 0.007 parksandrecnbc 0.000 0.015 0.000 0.019 0.000 0.011 0.000 -0.007 Grubhub 0.007 0.015 0.004 0.021 0.000 0.032 0.000 -0.026 opera 0.003 0.015 0.000 0.050 0.000 -0.011 0.000 0.092 JohnBarrowman 0.004 0.015 0.000 0.050 0.000 0.054 0.000 0.016 HarryPotterFilm 0.000 0.015 0.000 0.060 0.000 0.047 0.000 0.016 KattPackAllDay 0.000 0.015 0.000 -0.025 0.000 -0.005 0.000 0.013 Iron_Man 0.002 0.015 0.000 -0.022 0.000 -0.012 0.000 0.013 EliasSports 0.001 0.015 0.001 -0.013 0.000 0.008 0.000 0.004 MagicRealismBot 0.000 0.015 0.000 -0.008 0.000 -0.038 0.000 -0.075 ObamaFoundation 0.000 0.015 0.000 0.021 0.000 0.008 0.000 0.048 idSoftware 0.002 0.015 0.000 0.021 0.000 0.008 0.000 -0.018 Lavernecox 0.000 0.015 0.000 0.043 0.000 0.075 0.000 0.009 bbcdoctorwho 0.000 0.015 0.001 0.050 0.000 0.068 0.001 0.009 Predicting Mental Health from Followed Accounts: SUPPLEMENT 130

kenbone18 0.000 0.015 0.005 0.064 0.000 0.022 0.000 0.009 Pampers 0.000 0.015 0.000 0.093 0.000 0.042 0.000 0.000 JeremyNDooley 0.009 0.015 0.000 -0.041 0.000 0.022 0.000 -0.022 differlanguages 0.000 0.015 0.005 -0.032 0.000 -0.049 0.000 -0.027 NobleGG 0.000 0.015 0.000 -0.024 0.000 -0.065 0.002 -0.022 UrijahFaber 0.003 0.015 0.000 -0.024 0.000 0.029 0.000 -0.042 VeryShortStory 0.000 0.015 0.000 -0.021 0.000 -0.065 0.000 -0.099 evad3rs 0.001 0.015 0.005 -0.012 0.000 -0.041 0.000 -0.006 Forsen 0.002 0.015 0.000 -0.004 0.000 0.029 0.000 -0.027 dogboner 0.000 0.015 0.000 0.002 0.000 -0.057 0.000 -0.001 ConsiderMeDead 0.000 0.015 0.000 0.005 0.002 0.053 0.000 0.041 bryancallen 0.000 0.015 0.002 0.005 0.000 0.022 0.000 0.010 aantonop 0.004 0.015 0.000 0.005 0.000 0.022 0.000 0.020 Bashiok 0.000 0.015 0.002 0.016 0.000 0.029 0.000 0.010 mattyglesias 0.000 0.015 0.000 0.030 0.000 0.006 0.000 0.072 realadvicegal 0.000 0.015 0.000 0.033 0.000 0.014 0.000 -0.016 smithsonian 0.000 0.015 0.000 0.036 0.000 0.053 0.000 -0.027 BLABBERMOUTHNET 0.000 0.015 0.000 0.044 0.000 0.045 0.000 0.056 Metallica 0.000 0.015 0.000 0.047 0.000 0.029 0.000 0.036 Lupita_Nyongo 0.000 0.015 0.000 0.056 0.000 -0.026 0.000 0.062 PuritansPride 0.000 0.015 0.000 0.059 0.000 -0.002 0.000 0.036 TheBloggess 0.000 0.015 0.000 0.064 0.000 0.069 0.000 0.046 TheKnowledge 0.001 0.015 0.000 0.067 0.000 0.053 0.000 0.072 McKaylaMaroney 0.000 0.016 0.000 0.001 0.000 -0.044 0.000 -0.035 Espngreeny 0.001 0.016 0.000 0.016 0.000 0.037 0.000 -0.014 FastCompany 0.000 0.016 0.000 0.037 0.000 -0.031 0.000 0.052 MotherJones 0.000 0.016 0.002 0.043 0.000 0.044 0.002 0.035 ahelicoptermom 0.000 0.016 0.000 0.070 0.000 0.075 0.000 0.011 kfc 0.000 0.016 0.006 -0.020 0.000 -0.037 0.001 -0.011 DPRK_News 0.002 0.016 0.000 -0.015 0.000 0.010 0.000 -0.007 Predicting Mental Health from Followed Accounts: SUPPLEMENT 131

Akademiks 0.000 0.016 0.006 -0.003 0.000 0.075 0.000 -0.003 kellyoxford 0.007 0.016 0.000 0.006 0.000 0.022 0.003 -0.023 Alt_NASA 0.000 0.016 0.000 0.051 0.000 0.004 0.000 0.055 WestworldHBO 0.004 0.016 0.029 0.057 0.000 0.028 0.000 0.032 ilazer 0.000 0.016 0.000 0.009 0.000 -0.070 0.000 -0.005 ORIGINPC 0.000 0.016 0.004 -0.010 0.000 -0.052 0.000 0.039 TheRock 0.009 0.016 0.000 0.013 0.000 0.024 0.000 0.004 GameGrumps 0.000 0.016 0.000 -0.008 0.000 0.017 0.000 0.022 lildickytweets 0.000 0.016 0.000 -0.032 0.000 -0.010 0.000 -0.031 DwightHoward 0.001 0.016 0.000 0.012 0.004 -0.020 0.000 0.023 JonahHill 0.000 0.017 0.000 0.047 0.000 -0.003 0.000 0.083 ZachLowe_NBA 0.002 0.017 0.001 0.023 0.000 0.014 0.001 -0.028 KamalaHarris 0.000 0.017 0.001 0.069 0.000 -0.008 0.000 0.022 politico 0.001 0.017 0.000 0.028 0.000 0.047 0.000 0.062 britneyspears 0.000 0.017 0.000 0.112 0.000 0.049 0.000 0.055 tylerthecreator 0.000 0.017 0.014 0.009 0.000 0.033 0.009 0.037 Android 0.000 0.018 0.012 -0.017 0.000 -0.026 0.000 0.025 SenWarren 0.007 0.018 0.000 0.104 0.000 0.025 0.000 0.023 CubsJoeMadd 0.001 0.018 0.000 -0.026 0.000 0.006 0.000 0.011 therealjuicyj 0.001 0.018 0.000 0.001 0.000 -0.006 0.000 0.027 vicenews 0.002 0.018 0.002 0.005 0.000 0.012 0.000 0.023 guardian 0.011 0.018 0.000 0.007 0.000 0.000 0.000 -0.022 HP 0.000 0.018 0.004 0.010 0.000 0.000 0.000 -0.006 Drift0r 0.009 0.018 0.000 0.025 0.000 -0.025 0.005 -0.018 JoseCanseco 0.000 0.018 0.001 0.034 0.000 0.019 0.000 0.027 larrykim 0.000 0.018 0.000 0.037 0.000 0.056 0.000 0.011 FUNimation 0.004 0.018 0.000 -0.017 0.000 0.022 0.000 0.009 jonlovett 0.000 0.018 0.000 -0.013 0.000 -0.038 0.000 -0.040 GameCrate 0.000 0.018 0.000 -0.013 0.000 -0.012 0.001 0.031 jack 0.000 0.018 0.000 0.004 0.000 0.008 0.000 0.044 Predicting Mental Health from Followed Accounts: SUPPLEMENT 132

GameTrailers 0.000 0.018 0.000 0.014 0.000 0.028 0.000 0.044 Qi_Infinity 0.001 0.018 0.000 0.019 0.000 0.042 0.000 0.000 id_2830051135 0.000 0.018 0.000 0.026 0.000 0.015 0.000 0.018 LarryWentz 0.000 0.018 0.000 0.031 0.000 0.008 0.000 0.018 PeterMolydeux 0.000 0.018 0.000 0.035 0.000 0.062 0.005 0.022 nprpolitics 0.000 0.018 0.004 0.038 0.000 0.082 0.000 0.018 AnselElgort 0.000 0.018 0.000 0.040 0.001 0.015 0.000 0.026 ShareThis 0.000 0.018 0.000 0.074 0.000 0.055 0.000 0.048 Adaripp 0.000 0.018 0.000 0.079 0.000 0.028 0.000 -0.004 areck0001 0.000 0.018 0.000 0.081 0.000 0.042 0.000 0.013 GeorgeTakei 0.000 0.018 0.001 0.052 0.000 0.001 0.005 0.019 IndieCade 0.000 0.018 0.000 0.014 0.000 0.004 0.000 0.028 Apple 0.000 0.018 0.005 0.025 0.000 -0.001 0.000 0.012 BenAffleck 0.000 0.018 0.000 0.044 0.000 0.081 0.000 0.004 mrbobodenkirk 0.000 0.018 0.000 0.013 0.000 0.047 0.000 -0.008 DougBenson 0.001 0.018 0.000 0.041 0.000 0.036 0.000 0.014 EthoLP 0.000 0.018 0.001 -0.036 0.000 -0.011 0.000 0.021 RealCJ10 0.000 0.018 0.000 -0.020 0.000 -0.004 0.000 0.030 MoviePass 0.000 0.018 0.001 -0.012 0.000 0.025 0.001 -0.022 shopdotco 0.000 0.018 0.000 0.008 0.000 -0.047 0.000 0.054 nottjmiller 0.000 0.018 0.000 0.016 0.000 0.032 0.000 -0.007 FunnyVines 0.000 0.018 0.005 0.021 0.000 0.061 0.000 -0.017 Radiolab 0.000 0.018 0.000 0.024 0.000 0.061 0.000 -0.022 wetnwildbeauty 0.000 0.018 0.000 0.029 0.001 0.047 0.000 0.016 paprbckparadise 0.000 0.018 0.009 0.050 0.000 0.061 0.000 0.078 DonCheadle 0.006 0.018 0.000 0.055 0.000 -0.018 0.000 0.030 OregonMBB 0.000 0.018 0.000 0.019 0.000 -0.047 0.002 0.016 StuffDrakeDoes 0.000 0.018 0.000 0.024 0.000 0.061 0.000 0.016 JohnBoyega 0.000 0.018 0.000 0.006 0.000 0.033 0.002 0.005 XplodingUnicorn 0.000 0.018 0.015 0.034 0.000 0.023 0.007 -0.017 Predicting Mental Health from Followed Accounts: SUPPLEMENT 133

DennysDiner 0.000 0.018 0.000 -0.047 0.001 0.056 0.002 0.020 shwood 0.009 0.018 0.003 0.023 0.000 0.020 0.001 -0.034 HaileeSteinfeld 0.000 0.018 0.000 0.010 0.000 -0.041 0.000 0.015 ShawnMichaels 0.000 0.018 0.005 -0.026 0.000 -0.033 0.000 -0.073 SheaSerrano 0.006 0.018 0.000 -0.024 0.000 -0.018 0.000 -0.032 NEEDforSEAT 0.000 0.018 0.000 -0.018 0.000 -0.057 0.000 -0.037 SebGorka 0.000 0.018 0.000 -0.015 0.000 -0.010 0.000 -0.032 blairherter 0.000 0.018 0.000 -0.012 0.000 0.045 0.000 0.041 Genius 0.000 0.018 0.000 -0.007 0.000 -0.026 0.003 0.020 DatPiff 0.000 0.018 0.000 0.005 0.000 -0.018 0.001 0.051 AnneMunition 0.000 0.018 0.000 0.013 0.000 -0.026 0.000 -0.032 mitchgrassi 0.000 0.018 0.000 0.013 0.000 -0.018 0.000 -0.016 scotthoying 0.000 0.018 0.000 0.013 0.000 -0.018 0.000 -0.016 alsmiffy 0.000 0.018 0.000 0.016 0.000 -0.033 0.000 -0.047 zefrank 0.002 0.018 0.000 0.022 0.000 0.006 0.000 -0.011 HitFixUPROXX 0.000 0.018 0.009 0.027 0.000 -0.010 0.000 0.020 Twitition 0.005 0.018 0.000 0.030 0.000 0.069 0.000 0.036 wbgames 0.002 0.018 0.000 0.033 0.000 0.029 0.000 0.004 UniqloUSA 0.013 0.018 0.000 0.036 0.000 -0.002 0.000 0.030 KameronBennett 0.000 0.018 0.007 0.039 0.000 0.100 0.000 0.056 Wawa 0.002 0.018 0.000 0.047 0.000 0.061 0.000 0.046 NASAWebb 0.000 0.018 0.000 0.047 0.000 0.077 0.000 0.030 UnburntWitch 0.000 0.018 0.000 0.073 0.000 0.014 0.000 -0.006 tyleroakley 0.000 0.018 0.005 0.034 0.000 0.058 0.000 0.044 HuffPost 0.000 0.019 0.007 0.068 0.001 0.081 0.000 0.028 GordonRamsay 0.000 0.019 0.000 0.020 0.000 0.030 0.000 0.020 id_965266179836252161 0.000 0.019 0.004 0.082 0.000 0.007 0.000 0.027 selenagomez 0.002 0.020 0.000 0.053 0.000 0.018 0.000 0.033 uoregon 0.024 0.020 0.000 0.054 0.000 0.004 0.003 0.046 colbertlateshow 0.000 0.020 0.000 0.005 0.000 0.031 0.005 0.025 Predicting Mental Health from Followed Accounts: SUPPLEMENT 134

AdamSessler 0.001 0.020 0.000 0.023 0.000 0.008 0.000 0.017 archillect 0.000 0.020 0.000 0.053 0.001 0.075 0.000 0.025 WORLDSTAR 0.000 0.020 0.000 -0.024 0.000 -0.001 0.000 0.001 GolicAndWingo 0.000 0.020 0.003 -0.017 0.000 0.034 0.000 -0.011 NewYorker 0.008 0.020 0.000 0.008 0.000 0.016 0.001 0.008 troyesivan 0.008 0.020 0.002 -0.024 0.000 -0.012 0.000 0.006 maggielawson 0.000 0.020 0.000 -0.013 0.000 0.019 0.001 0.002 KinjaDeals 0.000 0.020 0.000 -0.011 0.000 -0.012 0.000 0.011 ReggieMillerTNT 0.002 0.020 0.000 -0.006 0.000 0.037 0.001 -0.006 MenInBlazers 0.000 0.020 0.000 0.014 0.000 0.037 0.000 0.031 tferriss 0.000 0.020 0.000 0.028 0.000 0.044 0.000 0.064 Sony 0.003 0.020 0.000 0.014 0.000 -0.041 0.000 0.030 TonyReali 0.016 0.020 0.001 0.017 0.000 0.000 0.000 0.020 AmericanExpress 0.000 0.020 0.000 0.025 0.000 -0.036 0.000 0.000 JManziel2 0.000 0.020 0.000 0.000 0.000 -0.045 0.000 -0.021 FallonTonight 0.000 0.020 0.000 0.032 0.000 0.023 0.000 0.021 RebelWilson 0.000 0.020 0.000 0.035 0.000 0.018 0.000 0.044 wootoff 0.000 0.020 0.000 -0.032 0.001 -0.052 0.000 0.057 muse 0.020 0.020 0.040 0.019 0.000 0.028 0.003 -0.004 FiveThirtyEight 0.004 0.020 0.000 0.024 0.000 -0.036 0.000 0.034 iamjohnoliver 0.000 0.021 0.000 0.042 0.000 0.022 0.000 0.016 weatherchannel 0.000 0.021 0.000 -0.015 0.000 -0.032 0.000 0.016 corbinbernsen 0.000 0.021 0.000 -0.010 0.000 0.018 0.002 0.002 nardwuar 0.001 0.021 0.000 0.003 0.000 -0.004 0.000 0.054 scarra 0.000 0.021 0.003 0.013 0.000 0.061 0.000 0.035 TobyHater 0.000 0.021 0.002 0.019 0.000 0.032 0.000 -0.003 RealPaigeWWE 0.005 0.021 0.000 0.024 0.000 -0.004 0.000 -0.003 plex 0.000 0.021 0.000 0.045 0.000 0.032 0.000 0.035 RobbieAmell 0.002 0.021 0.000 0.055 0.000 0.032 0.000 0.097 ChrisMurphyCT 0.000 0.021 0.000 0.063 0.000 -0.011 0.000 0.012 Predicting Mental Health from Followed Accounts: SUPPLEMENT 135

AdrianChen 0.001 0.021 0.000 0.073 0.000 0.061 0.000 0.045 earnwithdrop 0.000 0.021 0.002 0.001 0.000 -0.040 0.001 0.036 CollegeGameDay 0.000 0.021 0.000 0.004 0.001 0.013 0.000 0.027 edsheeran 0.006 0.021 0.000 0.041 0.000 0.021 0.000 0.065 Ubisoft 0.000 0.021 0.001 0.004 0.000 0.015 0.000 -0.002 ChrisDemarais 0.000 0.021 0.000 -0.026 0.000 0.022 0.000 -0.011 Chromecast 0.000 0.021 0.000 -0.024 0.002 -0.026 0.000 -0.022 Saints 0.000 0.021 0.003 -0.007 0.000 -0.002 0.000 0.036 DJDRAMA 0.000 0.021 0.001 -0.004 0.000 -0.010 0.000 0.051 theonekatzer 0.000 0.021 0.000 -0.001 0.000 0.014 0.000 -0.011 destructoid 0.000 0.021 0.003 -0.001 0.000 0.061 0.000 0.030 Cernovich 0.000 0.021 0.000 0.002 0.000 -0.002 0.000 -0.047 murrman5 0.000 0.021 0.000 0.008 0.001 0.006 0.000 -0.037 littlecaesars 0.000 0.021 0.001 0.013 0.000 -0.010 0.000 -0.042 DamienFahey 0.000 0.021 0.000 0.016 0.001 -0.002 0.000 0.020 GhostPanther 0.000 0.021 0.000 0.019 0.000 -0.010 0.000 0.025 GetPerkCodes 0.000 0.021 0.000 0.019 0.000 0.014 0.000 -0.022 FreakazoidA 0.000 0.021 0.000 0.025 0.000 0.022 0.012 0.030 MartyTheElder 0.000 0.021 0.000 0.042 0.000 -0.002 0.000 0.056 PorcupineTree 0.005 0.021 0.000 0.042 0.000 0.069 0.000 0.025 thenextweb 0.000 0.021 0.003 0.050 0.000 0.022 0.000 0.041 dog_feelings 0.000 0.022 0.000 0.045 0.001 0.034 0.005 0.013 paramore 0.000 0.022 0.000 0.044 0.000 0.007 0.000 0.036 JoyAnnReid 0.000 0.022 0.000 0.075 0.000 0.023 0.000 0.057 NYTMinusContext 0.000 0.022 0.002 0.026 0.000 -0.050 0.000 -0.041 AnnCurry 0.003 0.022 0.000 0.010 0.000 -0.013 0.000 0.016 SenFranken 0.000 0.022 0.000 0.063 0.001 0.040 0.000 0.039 ErinAndrews 0.000 0.022 0.003 0.003 0.000 -0.044 0.000 0.019 Purex 0.000 0.022 0.000 0.068 0.000 0.056 0.000 0.011 JColeNC 0.005 0.022 0.000 0.013 0.000 -0.036 0.004 0.002 Predicting Mental Health from Followed Accounts: SUPPLEMENT 136

tomhanks 0.001 0.022 0.000 0.072 0.000 0.062 0.000 0.113 jesus 0.000 0.023 0.033 0.004 0.000 -0.005 0.004 0.022 MargaretAtwood 0.000 0.023 0.000 0.011 0.001 0.002 0.000 0.004 natashaleggero 0.004 0.023 0.000 0.021 0.000 0.022 0.000 0.031 WomensHealthMag 0.009 0.023 0.002 0.057 0.000 0.035 0.000 0.079 thomaslennon 0.000 0.023 0.000 0.076 0.000 0.035 0.000 0.040 darth 0.000 0.023 0.000 0.079 0.000 0.035 0.000 0.097 itisalovelylife 0.001 0.023 0.000 0.112 0.000 0.055 0.001 0.101 Skrillex 0.000 0.023 0.004 0.042 0.000 -0.011 0.000 0.113 pattonoswalt 0.000 0.023 0.002 0.052 0.000 0.039 0.000 0.047 sethmeyers 0.001 0.023 0.000 0.050 0.000 0.058 0.000 0.054 MusclesGlasses 0.001 0.023 0.000 -0.023 0.000 -0.047 0.000 0.030 OldHossRadbourn 0.000 0.023 0.000 -0.020 0.000 0.004 0.000 0.007 StoneBrewing 0.000 0.023 0.000 -0.020 0.000 0.004 0.000 -0.017 Ronnie2K 0.000 0.023 0.000 0.026 0.000 -0.061 0.000 0.026 AvrilLavigne 0.000 0.023 0.000 0.052 0.000 0.011 0.000 0.083 wkamaubell 0.000 0.023 0.000 0.055 0.000 -0.004 0.000 0.035 NHL 0.004 0.024 0.000 0.016 0.000 -0.006 0.000 0.018 MakeUseOf 0.000 0.024 0.003 0.019 0.000 -0.060 0.000 0.073 LIRIK 0.000 0.024 0.000 0.048 0.000 0.014 0.000 -0.015 Attack 0.002 0.024 0.001 0.050 0.000 0.028 0.000 0.044 KeshaRose 0.000 0.024 0.010 0.067 0.000 -0.026 0.000 0.040 TomFelton 0.000 0.024 0.000 0.074 0.000 -0.006 0.001 0.066 MittRomney 0.000 0.024 0.000 -0.005 0.000 -0.031 0.000 -0.024 rejectedjokes 0.000 0.024 0.000 0.004 0.000 -0.015 0.000 -0.011 RepAdamSchiff 0.010 0.024 0.000 0.058 0.000 0.006 0.000 0.011 cursenetwork 0.000 0.024 0.000 -0.029 0.000 -0.052 0.000 0.043 IntelGaming 0.001 0.024 0.000 -0.021 0.000 -0.063 0.000 0.036 MalcolmNance 0.000 0.024 0.000 0.034 0.000 0.001 0.000 0.064 animalcrossing 0.000 0.024 0.023 0.036 0.000 0.087 0.000 0.012 Predicting Mental Health from Followed Accounts: SUPPLEMENT 137

timheidecker 0.000 0.024 0.000 0.052 0.000 0.028 0.000 0.008 channingtatum 0.000 0.024 0.000 0.084 0.000 0.049 0.001 0.029 djWHEAT 0.000 0.024 0.000 -0.015 0.000 0.022 0.000 0.015 fribergCS 0.000 0.024 0.000 -0.001 0.000 -0.010 0.000 0.010 f0restCS 0.000 0.024 0.000 -0.001 0.000 -0.010 0.000 0.010 maikelele 0.000 0.024 0.000 -0.001 0.000 -0.010 0.000 0.010 DeviantArt 0.000 0.024 0.000 0.008 0.000 0.022 0.000 0.062 Official_GDC 0.000 0.024 0.000 0.010 0.000 0.037 0.006 -0.037 FIFAWorldCup 0.000 0.024 0.000 0.013 0.000 -0.002 0.000 0.041 ErvinSantana_54 0.000 0.024 0.000 0.013 0.000 0.045 0.000 0.030 kirstendunst 0.000 0.024 0.000 0.016 0.000 -0.049 0.000 -0.027 PTXofficial 0.000 0.024 0.000 0.019 0.000 -0.041 0.000 -0.001 PVPLive 0.000 0.024 0.000 0.030 0.000 0.045 0.002 0.025 Interscope 0.000 0.024 0.000 0.036 0.000 0.061 0.000 0.062 RattyBurvil 0.000 0.024 0.000 0.039 0.000 0.092 0.000 0.030 ProSyndicate 0.003 0.024 0.000 0.042 0.000 0.014 0.000 -0.032 BenSavage 0.000 0.024 0.000 0.050 0.000 0.061 0.000 0.051 las930 0.006 0.024 0.000 0.064 0.000 0.061 0.000 0.041 CrackerBarrel 0.002 0.024 0.000 0.070 0.000 0.037 0.000 0.020 GalGadot 0.000 0.024 0.000 0.084 0.000 0.061 0.000 0.072 deray 0.000 0.024 0.000 0.021 0.000 0.008 0.000 0.028 AverageGoal 0.000 0.024 0.000 0.035 0.000 0.008 0.000 -0.045 Steam_Support 0.000 0.024 0.000 0.002 0.000 -0.007 0.000 0.008 verizon 0.000 0.024 0.000 0.080 0.000 0.069 0.000 0.094 TeenVogue 0.000 0.024 0.000 0.106 0.001 0.028 0.000 0.059 LastWeekTonight 0.000 0.024 0.000 0.080 0.000 0.044 0.000 0.038 colortheory 0.009 0.024 0.001 0.038 0.000 0.007 0.000 0.000 PaulMcCartney 0.000 0.025 0.005 0.021 0.000 0.025 0.000 0.002 mike_pence 0.005 0.025 0.000 0.030 0.000 0.081 0.000 0.081 id_878739731219189761 0.000 0.025 0.016 0.068 0.000 0.006 0.000 0.043 Predicting Mental Health from Followed Accounts: SUPPLEMENT 138

DOOM 0.000 0.025 0.000 -0.022 0.000 -0.005 0.000 0.066 xsplit 0.000 0.025 0.000 -0.020 0.000 -0.032 0.000 0.035 MotorolaUS 0.000 0.025 0.000 0.007 0.000 -0.012 0.000 0.022 DystopianYA 0.004 0.025 0.004 0.014 0.000 0.028 0.000 0.053 RealCarrotFacts 0.003 0.025 0.000 0.028 0.000 0.042 0.000 0.018 Cudlitz 0.000 0.025 0.000 0.031 0.001 0.028 0.000 0.057 SavedYouAClick 0.000 0.025 0.000 0.017 0.000 -0.013 0.000 -0.013 VICE 0.000 0.025 0.011 0.019 0.000 0.031 0.000 0.024 GearboxOfficial 0.000 0.026 0.000 -0.007 0.000 0.005 0.000 0.047 TwitterSupport 0.002 0.026 0.000 0.012 0.000 -0.041 0.000 0.013 bobsaget 0.003 0.026 0.000 0.072 0.000 0.068 0.000 0.049 jasoninthehouse 0.000 0.026 0.002 -0.051 0.000 -0.061 0.000 -0.088 shoe0nhead 0.000 0.026 0.000 0.001 0.000 -0.032 0.010 0.016 BunBTrillOG 0.000 0.026 0.000 0.006 0.000 -0.018 0.000 0.021 mindyfinn 0.000 0.026 0.000 0.081 0.000 0.018 0.015 0.092 shonnacoleman 0.000 0.026 0.001 0.125 0.000 0.061 0.000 0.045 BillClinton 0.005 0.026 0.000 0.043 0.001 0.013 0.001 0.020 krassenstein 0.000 0.026 0.000 0.054 0.000 -0.020 0.000 0.026 ACLU 0.000 0.026 0.000 0.094 0.000 0.038 0.000 0.009 DisneyStudios 0.000 0.026 0.000 -0.001 0.000 -0.047 0.000 0.003 BrentSpiner 0.000 0.026 0.000 0.037 0.000 0.064 0.000 0.036 Harry_Styles 0.000 0.026 0.000 0.059 0.001 -0.020 0.000 0.021 MLBGIFs 0.000 0.026 0.003 -0.032 0.000 0.010 0.000 -0.031 Lauren_Southern 0.000 0.026 0.001 0.004 0.001 0.022 0.006 0.001 YouTubeGaming 0.004 0.026 0.001 0.010 0.000 -0.013 0.000 0.012 EdKrassen 0.000 0.026 0.000 0.055 0.000 0.004 0.000 -0.007 toph_bbq 0.000 0.027 0.000 -0.024 0.000 0.045 0.000 0.056 ArmadaUGS 0.007 0.027 0.000 -0.024 0.000 0.045 0.000 0.056 ZeldaUniverse 0.000 0.027 0.002 -0.021 0.000 -0.002 0.000 0.067 itsgabrielleu 0.000 0.027 0.000 -0.012 0.000 0.014 0.000 -0.011 Predicting Mental Health from Followed Accounts: SUPPLEMENT 139

LTZONDA 0.000 0.027 0.000 0.002 0.000 -0.033 0.000 0.046 BrianDEvans 0.000 0.027 0.003 0.010 0.001 -0.081 0.002 -0.053 OregonPINK 0.003 0.027 0.005 0.010 0.000 -0.018 0.000 0.051 CollegeHumor 0.000 0.027 0.000 0.013 0.000 0.022 0.000 0.015 OldRowOfficial 0.000 0.027 0.000 0.016 0.001 0.061 0.000 0.062 TiffaniThiessen 0.001 0.027 0.000 0.019 0.000 -0.010 0.000 -0.016 Money23Green 0.000 0.027 0.000 0.025 0.000 0.029 0.000 0.025 TheRealDratch 0.000 0.027 0.000 0.027 0.000 -0.010 0.000 0.004 RubinReport 0.000 0.027 0.000 0.027 0.001 0.022 0.002 0.010 Crunchyroll 0.000 0.027 0.002 0.027 0.001 0.077 0.000 0.025 LivPsy 0.011 0.027 0.000 0.033 0.000 0.014 0.000 0.010 RheaButcher 0.000 0.027 0.000 0.033 0.000 0.037 0.000 -0.001 60Minutes 0.000 0.027 0.000 0.033 0.000 0.037 0.000 0.010 MatureTrumpTwts 0.000 0.027 0.000 0.039 0.000 -0.026 0.000 -0.063 AwardsDarwin 0.000 0.027 0.000 0.039 0.000 0.022 0.000 0.020 lithub 0.000 0.027 0.002 0.042 0.000 0.022 0.000 0.015 tobyfox 0.000 0.027 0.000 0.050 0.000 0.053 0.001 -0.037 id_736002032306290690 0.000 0.027 0.000 0.053 0.000 0.006 0.000 -0.037 41Strange 0.000 0.027 0.000 0.067 0.000 0.053 0.006 0.030 Willaaaah 0.000 0.027 0.000 0.067 0.000 0.069 0.000 0.087 Hasbro 0.000 0.027 0.000 0.090 0.002 0.077 0.005 0.051 Official_PAX 0.000 0.027 0.000 -0.015 0.000 0.000 0.000 0.023 premierleague 0.000 0.027 0.000 -0.002 0.000 0.025 0.000 0.056 BillRatchet 0.000 0.027 0.000 0.023 0.000 0.006 0.010 -0.018 mcbridemelissa 0.000 0.027 0.002 0.055 0.000 0.062 0.000 0.043 ParisHilton 0.000 0.027 0.000 0.091 0.000 0.025 0.000 0.072 sonic_hedgehog 0.003 0.027 0.000 0.017 0.000 0.056 0.000 0.005 CynthiaLIVE 0.001 0.027 0.000 0.025 0.001 -0.002 0.000 -0.016 amazonmusic 0.000 0.027 0.000 0.028 0.000 -0.007 0.000 0.041 RealMikeWilbon 0.000 0.027 0.000 -0.004 0.000 -0.031 0.000 -0.021 Predicting Mental Health from Followed Accounts: SUPPLEMENT 140

LanaDelRey 0.000 0.027 0.000 0.051 0.000 0.023 0.000 0.014 notaxation 0.000 0.027 0.000 -0.041 0.000 -0.018 0.000 0.070 lilyachty 0.000 0.027 0.000 -0.015 0.000 -0.025 0.002 0.022 Caitlyn_Jenner 0.000 0.027 0.001 0.021 0.000 0.035 0.000 0.040 jonathancoulton 0.001 0.027 0.000 0.038 0.000 0.042 0.000 0.048 realjeffreyross 0.011 0.027 0.004 0.069 0.000 0.088 0.000 0.066 justdemi 0.000 0.027 0.003 0.098 0.000 0.082 0.000 0.097 GOGcom 0.021 0.027 0.000 0.012 0.000 0.031 0.000 -0.044 BetteMidler 0.000 0.027 0.000 0.137 0.000 0.112 0.000 0.087 RepMaxineWaters 0.004 0.028 0.000 0.098 0.000 -0.004 0.005 0.068 amazonmturk 0.005 0.028 0.000 0.025 0.000 -0.014 0.000 0.014 tomdelonge 0.037 0.028 0.000 0.037 0.000 0.042 0.000 0.028 JensenAckles 0.000 0.028 0.000 0.039 0.000 0.036 0.003 -0.005 adamcarolla 0.000 0.028 0.005 0.041 0.000 0.036 0.000 0.047 GreenDay 0.000 0.028 0.001 0.071 0.000 0.047 0.010 0.095 MVG_Mew2King 0.004 0.028 0.003 -0.043 0.000 -0.018 0.000 0.059 GameOverGreggy 0.006 0.028 0.000 -0.018 0.000 0.004 0.000 0.007 NBAonTNT 0.000 0.028 0.000 -0.002 0.000 -0.018 0.000 -0.045 alfranken 0.000 0.028 0.002 0.003 0.000 -0.018 0.000 -0.007 owlcity 0.000 0.028 0.000 0.006 0.000 0.004 0.000 0.007 NikaHarper 0.000 0.028 0.001 0.026 0.000 0.054 0.000 0.021 NY_Comic_Con 0.000 0.028 0.007 0.032 0.000 0.061 0.000 0.002 JoeBudden 0.000 0.028 0.013 0.032 0.000 0.068 0.001 0.007 ruralmoms 0.000 0.028 0.017 0.117 0.001 0.104 0.000 0.026 Konami 0.000 0.028 0.004 0.019 0.000 0.057 0.000 0.055 JuddLegum 0.000 0.028 0.007 0.074 0.000 -0.007 0.000 0.016 kumailn 0.004 0.029 0.001 0.024 0.000 -0.016 0.009 -0.023 hannibalburess 0.008 0.029 0.000 0.038 0.000 0.007 0.000 0.011 BoJackHorseman 0.000 0.029 0.000 -0.002 0.000 0.006 0.000 -0.006 scrowder 0.000 0.029 0.000 0.012 0.000 0.037 0.000 0.031 Predicting Mental Health from Followed Accounts: SUPPLEMENT 141

AssangeDefence 0.000 0.029 0.002 0.023 0.001 0.050 0.000 -0.006 iamwill 0.002 0.029 0.000 0.055 0.001 0.056 0.000 0.072 carlyraejepsen 0.000 0.029 0.000 0.064 0.000 -0.031 0.000 0.085 trent_reznor 0.000 0.029 0.001 0.062 0.000 0.063 0.000 0.115 SkyWilliams 0.000 0.030 0.000 -0.043 0.000 0.053 0.000 -0.022 AshleyJ 0.000 0.030 0.000 -0.021 0.000 0.037 0.000 0.020 Seinfeld2000 0.003 0.030 0.000 -0.009 0.000 -0.002 0.000 -0.001 id_835176008668102662 0.007 0.030 0.000 -0.009 0.000 0.006 0.000 0.015 ClashofClans 0.004 0.030 0.002 -0.004 0.000 -0.026 0.001 -0.001 BetterCallSaul 0.000 0.030 0.000 -0.004 0.000 0.037 0.000 0.004 greta 0.004 0.030 0.000 -0.001 0.000 -0.026 0.000 -0.006 guwop 0.000 0.030 0.021 0.010 0.000 -0.018 0.009 0.046 ArmouredSkeptic 0.002 0.030 0.000 0.013 0.000 -0.018 0.000 0.025 OnePerfectShot 0.000 0.030 0.000 0.019 0.000 -0.018 0.000 0.036 AmandaSeyfried 0.001 0.030 0.003 0.019 0.000 -0.002 0.003 -0.011 KarenKilgariff 0.000 0.030 0.000 0.022 0.000 -0.033 0.000 -0.037 LifeIsStrange 0.000 0.030 0.000 0.022 0.000 0.022 0.000 -0.073 MelBrooks 0.000 0.030 0.000 0.022 0.000 0.061 0.000 -0.006 LolStvicious 0.000 0.030 0.000 0.025 0.000 0.069 0.000 0.025 Thermaltake 0.000 0.030 0.003 0.027 0.000 0.061 0.000 0.145 NotBillWalton 0.000 0.030 0.003 0.036 0.000 -0.026 0.000 -0.011 theofficenbc 0.000 0.030 0.000 0.039 0.000 0.053 0.000 0.082 SWTOR 0.000 0.030 0.000 0.039 0.000 0.061 0.001 0.010 FaZeApex 0.000 0.030 0.011 0.042 0.000 -0.018 0.000 -0.027 buenothebear 0.001 0.030 0.000 0.042 0.000 0.037 0.000 0.025 noveliciouss 0.000 0.030 0.000 0.050 0.000 0.022 0.000 0.072 ericgarland 0.000 0.030 0.003 0.053 0.000 0.014 0.000 0.087 Entrepreneur 0.001 0.030 0.000 0.053 0.002 0.045 0.000 0.036 realjknoxville 0.005 0.030 0.001 0.027 0.000 0.033 0.000 0.057 Patriots 0.000 0.030 0.004 0.036 0.000 0.049 0.000 0.001 Predicting Mental Health from Followed Accounts: SUPPLEMENT 142

HulkHogan 0.000 0.030 0.008 -0.039 0.001 -0.045 0.000 -0.004 Sia 0.000 0.030 0.000 0.007 0.000 -0.025 0.000 0.018 kevinabstract 0.005 0.030 0.013 0.014 0.000 0.028 0.000 0.044 iamkareno 0.000 0.030 0.000 0.021 0.000 0.042 0.001 0.031 jgwentworth 0.000 0.030 0.000 0.045 0.001 0.055 0.000 0.022 jonathansfrakes 0.001 0.030 0.000 0.050 0.000 0.055 0.000 0.040 amandapalmer 0.015 0.030 0.000 0.055 0.000 0.062 0.000 0.040 id_158429303 0.000 0.030 0.000 0.093 0.000 0.075 0.000 0.022 InfluensterCB 0.000 0.030 0.000 0.095 0.000 0.075 0.000 0.035 SamuelLJackson 0.000 0.030 0.000 0.029 0.000 0.056 0.000 0.044 VancityReynolds 0.003 0.030 0.005 0.027 0.000 0.038 0.000 0.036 dodo 0.000 0.030 0.000 -0.003 0.000 0.031 0.002 -0.005 OITNB 0.001 0.030 0.008 0.011 0.000 0.053 0.000 0.006 amazon_movies 0.000 0.030 0.002 0.031 0.000 0.020 0.000 0.036 ItsFreeAtLast 0.000 0.030 0.000 0.095 0.000 0.103 0.002 -0.001 ZooeyDeschanel 0.000 0.030 0.000 0.036 0.000 -0.007 0.000 0.010 RottenTomatoes 0.000 0.030 0.000 0.063 0.000 0.040 0.000 0.065 BettyMWhite 0.005 0.030 0.000 0.078 0.002 0.084 0.000 0.020 JohnLegere 0.000 0.030 0.007 -0.020 0.000 0.017 0.000 0.029 DRUDGE_REPORT 0.000 0.031 0.000 -0.017 0.000 0.004 0.000 0.001 KFUCKINGP 0.000 0.031 0.000 0.017 0.000 0.004 0.000 0.020 deanjnorris 0.000 0.031 0.001 0.031 0.000 0.034 0.000 0.055 VictoriaJustice 0.000 0.031 0.000 0.034 0.000 0.034 0.000 0.051 EvaLongoria 0.000 0.031 0.008 0.106 0.000 0.104 0.000 0.078 ufc 0.000 0.031 0.000 -0.023 0.000 0.047 0.000 -0.026 PEEPSANDCOMPANY 0.001 0.031 0.000 0.039 0.000 0.004 0.000 0.054 cgpgrey 0.000 0.031 0.000 0.042 0.000 0.011 0.001 -0.012 NewsBreaker 0.000 0.031 0.000 0.060 0.000 0.032 0.005 0.030 eatmovemake 0.000 0.031 0.000 0.083 0.001 0.075 0.000 0.054 azizansari 0.000 0.031 0.005 0.022 0.000 -0.007 0.000 0.074 Predicting Mental Health from Followed Accounts: SUPPLEMENT 143

PrisonPlanet 0.000 0.031 0.015 0.001 0.000 0.015 0.000 0.000 mental_floss 0.000 0.031 0.000 0.054 0.000 0.010 0.000 0.010 DisneyPixar 0.000 0.031 0.000 0.054 0.000 0.020 0.000 0.050 TeamCoco 0.000 0.031 0.000 0.064 0.000 0.044 0.000 0.051 Pink 0.000 0.031 0.004 0.090 0.000 0.100 0.000 0.109 zaynmalik 0.005 0.032 0.002 0.059 0.002 0.007 0.000 0.061 RedHourBen 0.000 0.032 0.000 0.066 0.000 0.082 0.000 0.048 RealHughJackman 0.000 0.032 0.000 0.059 0.000 0.043 0.001 0.047 MichelleObama 0.000 0.032 0.000 0.117 0.000 0.024 0.000 0.030 MurrayNewlands 0.000 0.032 0.000 0.033 0.000 0.042 0.000 0.058 wbpictures 0.000 0.032 0.000 0.051 0.000 0.020 0.000 0.051 BraddJaffy 0.000 0.032 0.002 0.103 0.000 0.025 0.000 0.091 ChaelSonnen 0.003 0.032 0.000 -0.034 0.001 0.002 0.000 -0.057 id_851661253944766465 0.001 0.032 0.001 -0.027 0.000 -0.078 0.000 -0.066 45PedroMartinez 0.000 0.032 0.000 -0.015 0.000 0.028 0.000 0.004 TuckerCarlson 0.018 0.032 0.000 -0.003 0.000 -0.005 0.004 0.004 GIGABYTEUSA 0.000 0.032 0.000 -0.001 0.000 -0.038 0.000 0.083 IEM 0.001 0.032 0.001 0.016 0.000 -0.012 0.000 0.079 _AlexHirsch 0.000 0.032 0.000 0.019 0.000 0.015 0.000 -0.031 tylerrjoseph 0.000 0.032 0.000 0.038 0.000 0.028 0.000 0.000 clgaming 0.000 0.032 0.001 0.038 0.000 0.115 0.000 0.022 SofiaVergara 0.000 0.032 0.000 0.043 0.000 0.042 0.000 0.026 thegrandtour 0.006 0.032 0.000 0.059 0.001 0.088 0.000 0.040 NatlParkService 0.009 0.032 0.018 0.129 0.000 0.022 0.000 0.070 TheRealGZA 0.001 0.032 0.000 -0.049 0.000 -0.026 0.000 0.051 ImmortalHD 0.000 0.032 0.009 -0.046 0.000 0.061 0.000 -0.073 Alchemist 0.000 0.032 0.000 -0.012 0.000 -0.010 0.000 0.046 glennbeck 0.000 0.032 0.003 -0.001 0.000 -0.041 0.000 0.036 KELLYROWLAND 0.000 0.032 0.000 0.013 0.001 0.014 0.000 0.046 _Brendonsmall 0.002 0.032 0.000 0.013 0.000 0.053 0.000 0.010 Predicting Mental Health from Followed Accounts: SUPPLEMENT 144

JDMorgan 0.000 0.032 0.000 0.016 0.000 0.022 0.001 0.041 Cowboycerrone 0.000 0.032 0.000 0.019 0.000 0.045 0.000 0.020 TMobileHelp 0.000 0.032 0.003 0.022 0.000 0.014 0.000 -0.032 fanfiction_txt 0.000 0.032 0.000 0.036 0.000 0.045 0.000 0.015 SpeakerRyan 0.007 0.032 0.000 0.042 0.000 0.022 0.000 0.004 WeAreTheInCrowd 0.002 0.032 0.000 0.047 0.000 0.029 0.000 0.067 MichaelCondrey 0.015 0.032 0.000 0.056 0.000 0.006 0.000 -0.011 electrolemon 0.000 0.032 0.002 0.056 0.000 0.029 0.000 0.030 ajcampos01 0.000 0.032 0.000 0.070 0.003 0.100 0.003 0.062 MJMcKean 0.000 0.032 0.000 0.076 0.000 0.045 0.000 0.051 POTUS44 0.000 0.032 0.003 0.058 0.000 -0.018 0.006 0.015 AH_Michael 0.002 0.033 0.000 -0.013 0.000 0.010 0.001 0.078 BuzzFeedNews 0.000 0.033 0.000 0.027 0.000 -0.013 0.001 0.036 chandlerriggs 0.000 0.033 0.000 0.044 0.000 0.046 0.000 0.078 markhoppus 0.000 0.033 0.000 0.053 0.001 0.057 0.000 0.059 RiceGum 0.000 0.033 0.000 0.063 0.000 0.075 0.004 0.078 shaymitch 0.000 0.033 0.026 0.076 0.000 0.063 0.000 0.032 instagc 0.000 0.033 0.000 -0.004 0.000 0.007 0.000 -0.077 jasonsegel 0.008 0.033 0.000 0.013 0.000 -0.027 0.000 -0.013 tedlieu 0.001 0.033 0.000 0.104 0.000 0.048 0.000 0.051 officialjaden 0.000 0.033 0.000 -0.014 0.000 -0.031 0.000 -0.012 Zendaya 0.013 0.033 0.000 0.027 0.000 0.012 0.000 0.001 Ninja 0.000 0.033 0.000 0.042 0.000 0.017 0.001 0.001 Olympics 0.005 0.033 0.000 0.057 0.000 0.001 0.000 0.026 WWERollins 0.002 0.034 0.000 -0.036 0.000 -0.068 0.000 -0.079 kerrywashington 0.000 0.034 0.001 -0.012 0.000 -0.011 0.000 0.012 ByronBernstein 0.004 0.034 0.005 -0.002 0.000 -0.039 0.000 0.059 prolificac 0.000 0.034 0.001 0.011 0.000 0.004 0.000 -0.041 SeaNanners 0.000 0.034 0.004 0.016 0.000 0.018 0.000 0.040 NekoCase 0.000 0.034 0.000 0.019 0.000 0.025 0.005 -0.017 Predicting Mental Health from Followed Accounts: SUPPLEMENT 145

MannyPacquiaoTR 0.000 0.034 0.002 0.021 0.000 -0.075 0.002 -0.026 ViewSonic 0.000 0.034 0.000 0.032 0.000 0.032 0.000 0.054 id_766342899764166657 0.003 0.034 0.000 0.063 0.001 0.061 0.000 -0.017 EmmanuelMacron 0.000 0.034 0.017 0.089 0.000 0.054 0.000 0.083 usweekly 0.000 0.034 0.000 0.102 0.000 0.075 0.000 0.083 Yoplait 0.000 0.034 0.003 0.120 0.000 0.061 0.000 0.097 FauxJohnMadden 0.000 0.034 0.000 -0.002 0.000 -0.012 0.001 0.035 redditstatus 0.000 0.034 0.000 0.019 0.000 0.106 0.003 0.048 TurtleBeach 0.000 0.034 0.000 0.030 0.000 0.006 0.000 0.035 horseysurprise 0.000 0.034 0.000 -0.009 0.001 0.012 0.011 0.038 ASlavitt 0.000 0.034 0.000 0.059 0.000 0.036 0.000 0.076 dril 0.007 0.034 0.001 0.013 0.000 -0.026 0.004 -0.011 richbrian 0.001 0.034 0.000 -0.033 0.000 0.059 0.000 -0.006 WIRED 0.016 0.034 0.003 0.038 0.000 0.063 0.000 0.072 NZXT 0.000 0.034 0.000 0.000 0.000 -0.045 0.000 -0.018 lindsaylohan 0.002 0.034 0.000 0.062 0.000 0.014 0.000 0.079 megturney 0.000 0.035 0.000 -0.008 0.000 0.022 0.000 0.048 MyNintendoNews 0.000 0.035 0.000 -0.003 0.000 -0.038 0.010 0.035 gerardway 0.019 0.035 0.002 0.028 0.000 0.048 0.001 0.031 shailenewoodley 0.000 0.035 0.006 0.031 0.000 0.002 0.000 0.022 CLG_HotshotGG 0.000 0.035 0.000 0.033 0.000 0.075 0.000 0.022 harto 0.000 0.035 0.000 0.040 0.000 0.042 0.000 0.031 RealTimeWWII 0.000 0.035 0.012 0.040 0.000 0.042 0.002 0.062 WaltDisneyWorld 0.000 0.035 0.000 0.062 0.000 0.008 0.000 0.018 Skype 0.000 0.035 0.000 0.071 0.000 0.035 0.000 0.057 gogreen18 0.000 0.035 0.000 0.079 0.000 0.015 0.000 0.048 prettynameless 0.000 0.035 0.000 0.083 0.000 0.055 0.000 0.057 cameronesposito 0.000 0.035 0.000 0.086 0.000 0.055 0.003 0.044 2K 0.000 0.035 0.002 0.023 0.001 0.022 0.000 0.016 RealRonHoward 0.000 0.035 0.000 0.044 0.000 0.087 0.005 0.055 Predicting Mental Health from Followed Accounts: SUPPLEMENT 146

Evy_Lynch 0.000 0.035 0.000 0.051 0.000 -0.013 0.003 0.016 SethGreen 0.000 0.035 0.000 0.036 0.000 0.003 0.000 0.016 realDonaldTrump 0.000 0.035 0.000 0.024 0.000 0.037 0.000 -0.004 EA_DICE 0.000 0.035 0.000 -0.041 0.000 -0.010 0.000 -0.022 RyanTheTwit 0.000 0.035 0.000 -0.029 0.000 0.029 0.000 -0.011 GailSimone 0.000 0.035 0.000 -0.012 0.000 0.037 0.000 0.010 RobertIrvine 0.000 0.035 0.004 -0.007 0.000 -0.033 0.000 0.030 TroyBakerVA 0.002 0.035 0.000 -0.007 0.000 0.006 0.000 0.030 LAN_Valen 0.000 0.035 0.002 0.008 0.000 -0.033 0.000 -0.001 JCrossover 0.000 0.035 0.000 0.016 0.000 -0.002 0.000 0.004 camphalfblood 0.000 0.035 0.000 0.019 0.000 -0.018 0.000 0.041 MelissaBenoist 0.000 0.035 0.000 0.025 0.000 0.037 0.000 0.046 democracynow 0.000 0.035 0.000 0.030 0.000 0.029 0.000 0.015 Migos 0.000 0.035 0.000 0.033 0.000 -0.002 0.000 0.077 NicholasHoult 0.000 0.035 0.005 0.039 0.000 0.069 0.000 0.015 Jon4Lakers 0.000 0.035 0.000 0.042 0.000 0.006 0.000 0.051 tomgreenlive 0.000 0.035 0.000 0.044 0.000 0.014 0.000 0.051 comex 0.000 0.035 0.000 0.050 0.000 0.014 0.000 0.051 TonyRobbins 0.000 0.035 0.000 0.050 0.000 0.053 0.000 0.025 Neslo 0.000 0.035 0.000 0.056 0.000 -0.002 0.000 -0.006 Whea7s 0.000 0.035 0.000 0.056 0.000 -0.002 0.000 -0.006 Sharp_tK 0.005 0.035 0.001 0.056 0.000 -0.002 0.000 -0.006 thedailybeast 0.000 0.035 0.000 0.067 0.000 0.029 0.000 0.025 superdeluxe 0.000 0.035 0.000 0.073 0.000 0.022 0.002 0.077 Aly_Raisman 0.013 0.035 0.000 0.076 0.000 -0.033 0.000 0.067 iSmashFizzle 0.000 0.035 0.000 0.090 0.000 0.053 0.000 0.051 RockstarGames 0.000 0.035 0.000 0.008 0.000 0.001 0.004 -0.004 PokemonGoNews 0.000 0.035 0.000 -0.004 0.000 -0.020 0.000 -0.045 JohnCena 0.000 0.035 0.000 0.013 0.001 0.055 0.000 -0.017 zachbraff 0.000 0.035 0.000 0.008 0.000 0.018 0.001 0.055 Predicting Mental Health from Followed Accounts: SUPPLEMENT 147

mashable 0.000 0.036 0.000 0.072 0.000 0.023 0.003 0.030 kingstontech 0.000 0.036 0.003 0.028 0.000 0.044 0.000 0.019 MissyElliott 0.000 0.036 0.000 0.037 0.000 0.025 0.000 0.085 xychelsea 0.000 0.036 0.000 0.079 0.000 0.031 0.000 0.023 travisbarker 0.000 0.036 0.000 0.057 0.000 0.036 0.000 0.065 imgur 0.000 0.036 0.000 -0.010 0.000 -0.039 0.014 0.097 therealroseanne 0.000 0.036 0.007 -0.002 0.000 0.004 0.000 -0.060 NiPGaming 0.001 0.036 0.000 0.011 0.000 -0.011 0.001 0.016 ORIGINPCCEO 0.003 0.036 0.005 0.024 0.000 0.004 0.004 0.012 TSMReginald 0.000 0.036 0.000 0.039 0.001 0.083 0.000 -0.007 SamsungUS 0.000 0.036 0.000 0.045 0.000 -0.004 0.000 -0.017 HonestToddler 0.001 0.036 0.000 0.052 0.000 0.011 0.000 -0.003 femfreq 0.000 0.036 0.010 0.065 0.000 0.032 0.000 0.030 alisonbrie 0.000 0.036 0.003 -0.014 0.000 0.009 0.000 0.031 PlayStation 0.012 0.036 0.000 0.017 0.000 -0.003 0.000 0.042 KeeganMKey 0.000 0.037 0.000 0.011 0.000 0.009 0.001 0.030 joanneprada 0.000 0.037 0.001 0.046 0.000 -0.025 0.000 0.047 RichardHammond 0.000 0.037 0.011 0.063 0.000 0.110 0.000 0.063 GameStop 0.000 0.037 0.009 0.027 0.000 -0.008 0.000 0.023 AnkerOfficial 0.000 0.037 0.012 0.019 0.000 -0.005 0.000 -0.013 DairyQueen 0.014 0.037 0.000 0.040 0.000 -0.012 0.000 0.035 ThomasSanders 0.001 0.037 0.000 0.055 0.000 0.028 0.000 0.031 thestep2company 0.000 0.037 0.000 0.131 0.000 0.115 0.000 0.040 HouseofCards 0.006 0.037 0.000 0.009 0.000 0.033 0.000 -0.003 WheatThins 0.000 0.037 0.004 0.042 0.000 -0.015 0.000 0.019 KicksDeals 0.000 0.037 0.013 0.050 0.000 0.007 0.000 0.005 netflix 0.000 0.038 0.001 0.012 0.000 0.032 0.000 0.020 GameOfThrones 0.000 0.038 0.002 -0.007 0.000 0.016 0.000 0.026 wikileaks 0.000 0.038 0.009 0.038 0.000 0.025 0.000 0.062 Avengers 0.004 0.038 0.011 0.041 0.001 0.112 0.000 0.008 Predicting Mental Health from Followed Accounts: SUPPLEMENT 148

TeamRazer 0.000 0.038 0.000 -0.015 0.000 -0.006 0.000 0.015 russwest44 0.000 0.038 0.008 0.070 0.001 0.062 0.001 0.043 moby_dickhead 0.002 0.038 0.000 0.084 0.000 0.012 0.000 0.060 klout 0.000 0.038 0.000 0.093 0.000 0.112 0.000 0.031 PaulaAbdul 0.000 0.038 0.000 0.064 0.000 0.062 0.000 0.027 arzE 0.000 0.038 0.002 -0.013 0.000 -0.014 0.000 -0.012 KateUpton 0.006 0.038 0.006 0.017 0.001 -0.003 0.006 -0.001 andymilonakis 0.001 0.038 0.000 0.023 0.000 0.025 0.000 0.025 Beyonce 0.000 0.038 0.000 0.055 0.000 0.070 0.000 0.036 pottermore 0.000 0.038 0.000 0.073 0.000 0.003 0.000 0.017 FreddieFreeman5 0.000 0.038 0.000 -0.009 0.000 0.006 0.000 0.025 hellogames 0.000 0.038 0.000 -0.001 0.000 -0.049 0.007 0.020 jamessmurray 0.000 0.038 0.000 -0.001 0.000 -0.026 0.000 -0.006 Ltd_To_Two 0.000 0.038 0.000 0.005 0.000 -0.026 0.000 -0.027 NeedADebitCard 0.000 0.038 0.000 0.010 0.000 -0.010 0.000 0.046 CKlosterman 0.000 0.038 0.000 0.022 0.000 -0.002 0.000 0.025 DarkHorseComics 0.000 0.038 0.000 0.022 0.000 0.029 0.000 0.030 Bravotv 0.000 0.038 0.000 0.027 0.000 0.022 0.000 -0.006 DOTA2 0.001 0.038 0.000 0.033 0.000 0.069 0.000 0.025 RiotPhreak 0.000 0.038 0.000 0.036 0.000 0.092 0.000 0.051 thewonderyears 0.000 0.038 0.000 0.047 0.000 -0.002 0.000 0.015 IAMLenaHeadey 0.001 0.038 0.000 0.047 0.000 0.061 0.000 0.082 OverclockersUK 0.002 0.038 0.000 0.050 0.000 0.022 0.000 0.051 RedditGifts 0.000 0.038 0.000 0.053 0.000 0.069 0.000 0.020 SenFeinstein 0.000 0.038 0.000 0.073 0.000 0.069 0.000 0.067 BadlandsNPS 0.000 0.038 0.004 0.087 0.000 0.014 0.000 0.082 GainSaverShop 0.000 0.038 0.000 0.098 0.000 0.022 0.000 0.082 tweematic 0.000 0.038 0.000 0.104 0.000 0.116 0.000 0.072 nickkroll 0.002 0.038 0.000 0.044 0.000 0.049 0.000 0.059 OzzyOsbourne 0.000 0.039 0.000 0.056 0.001 0.097 0.000 0.047 Predicting Mental Health from Followed Accounts: SUPPLEMENT 149

JordanPeele 0.001 0.039 0.002 -0.026 0.000 0.004 0.000 0.006 JimNorton 0.001 0.039 0.000 -0.005 0.000 0.039 0.000 0.045 DepressedDarth 0.000 0.039 0.005 0.013 0.000 0.004 0.000 -0.012 themichaelcaine 0.000 0.039 0.000 0.026 0.000 0.047 0.000 0.016 machinegunkelly 0.000 0.039 0.001 0.042 0.000 -0.032 0.001 0.064 KalaniBallFree 0.000 0.039 0.003 0.045 0.000 0.011 0.000 -0.007 thekatvond 0.000 0.039 0.004 0.047 0.000 0.097 0.000 0.049 somedayilllearn 0.000 0.039 0.000 0.055 0.000 0.083 0.000 0.049 JordinSparks 0.002 0.039 0.000 0.086 0.000 0.075 0.000 0.121 joerogan 0.000 0.039 0.004 -0.013 0.000 0.012 0.002 0.016 CDPROJEKTRED 0.005 0.039 0.008 0.010 0.000 -0.013 0.000 0.001 googlenexus 0.000 0.039 0.000 0.025 0.000 -0.019 0.000 0.008 googledrive 0.000 0.039 0.000 0.038 0.000 -0.007 0.000 0.047 EW 0.000 0.039 0.000 0.044 0.000 0.010 0.010 0.055 MorganWebb 0.000 0.039 0.007 0.059 0.000 0.046 0.005 0.055 eentertainment 0.000 0.039 0.000 0.123 0.001 0.093 0.000 0.043 TheDailyShow 0.000 0.039 0.000 0.092 0.000 0.107 0.000 0.062 abbijacobson 0.000 0.039 0.000 0.038 0.000 -0.058 0.007 0.026 UMGEvents 0.000 0.039 0.025 0.052 0.000 -0.012 0.001 -0.018 ElevateGG 0.000 0.039 0.000 0.064 0.000 0.015 0.000 0.062 mcgregor_ewan 0.000 0.039 0.000 0.076 0.000 0.022 0.000 0.013 pitbull 0.000 0.039 0.002 0.100 0.000 0.062 0.003 0.101 SethMacFarlane 0.000 0.040 0.000 0.030 0.000 0.015 0.000 0.092 NeweggHotDeals 0.000 0.040 0.000 0.005 0.000 0.018 0.000 0.018 RobGronkowski 0.002 0.040 0.007 0.101 0.001 0.063 0.000 0.044 fakedansavage 0.004 0.040 0.004 0.039 0.000 0.031 0.000 0.010 karengillan 0.010 0.040 0.000 0.055 0.000 0.098 0.002 0.043 HistoryInPics 0.000 0.040 0.000 0.061 0.000 -0.008 0.000 0.010 MichaelPhelps 0.001 0.040 0.000 0.068 0.000 0.031 0.000 0.068 HillaryClinton 0.004 0.040 0.000 0.073 0.000 -0.001 0.000 0.004 Predicting Mental Health from Followed Accounts: SUPPLEMENT 150

robdyrdek 0.000 0.040 0.000 -0.020 0.000 -0.036 0.008 0.056 ConanOBrien 0.000 0.040 0.003 0.042 0.000 0.008 0.000 0.069 robcorddry 0.006 0.040 0.000 0.004 0.000 0.015 0.000 0.047 thebrianposehn 0.002 0.040 0.010 0.039 0.000 0.046 0.000 0.016 CoryBooker 0.000 0.041 0.000 0.064 0.000 0.026 0.000 0.031 Kripparrian 0.000 0.041 0.000 -0.007 0.000 -0.002 0.000 -0.022 Yg_Trece 0.000 0.041 0.000 -0.004 0.000 -0.033 0.000 -0.001 BuckyIsotope 0.000 0.041 0.000 -0.004 0.000 0.006 0.005 -0.053 Camila_Cabello 0.000 0.041 0.000 0.005 0.000 -0.033 0.000 -0.001 BBBaumgartner 0.000 0.041 0.000 0.010 0.000 0.045 0.000 0.015 OC3D 0.003 0.041 0.000 0.013 0.000 -0.041 0.000 0.041 darkstockphotos 0.000 0.041 0.000 0.013 0.000 -0.026 0.000 0.087 ManUtd 0.000 0.041 0.001 0.013 0.000 0.006 0.003 0.020 iownjd 0.010 0.041 0.000 0.030 0.000 0.029 0.000 -0.001 sark 0.000 0.041 0.000 0.036 0.000 0.022 0.000 0.030 tapbots 0.000 0.041 0.000 0.044 0.000 0.006 0.000 0.087 CandiceAccola 0.000 0.041 0.000 0.050 0.000 0.069 0.000 0.030 PGA_JohnDaly 0.005 0.041 0.014 0.061 0.000 0.022 0.000 0.030 TheHungerGames 0.000 0.041 0.000 0.067 0.000 0.006 0.000 0.041 eatwholly 0.000 0.041 0.019 0.087 0.000 0.069 0.000 0.025 hpyhomefamily 0.000 0.041 0.000 0.135 0.002 0.084 0.000 0.015 acadianathrifty 0.000 0.041 0.005 0.138 0.000 0.092 0.000 0.025 id_719324795167309827 0.000 0.041 0.000 0.019 0.000 0.003 0.000 -0.001 ericwareheim 0.000 0.041 0.000 0.057 0.000 0.010 0.000 0.047 Yousuckatcookin 0.016 0.041 0.000 -0.033 0.000 -0.032 0.000 0.021 SimpsonsQOTD 0.005 0.041 0.000 -0.018 0.000 0.054 0.000 0.045 ericstonestreet 0.000 0.041 0.000 0.024 0.000 0.018 0.000 0.016 surface 0.020 0.041 0.000 0.039 0.000 0.011 0.000 -0.050 HeymanHustle 0.000 0.041 0.000 0.058 0.000 0.032 0.014 0.040 HarveyLevinTMZ 0.000 0.041 0.000 0.058 0.000 0.032 0.004 0.087 Predicting Mental Health from Followed Accounts: SUPPLEMENT 151

NiykeeHeaton 0.005 0.041 0.000 0.081 0.000 0.104 0.000 0.035 PLLTVSeries 0.008 0.041 0.007 0.096 0.000 0.047 0.000 0.030 BuzzFeed 0.000 0.042 0.000 0.049 0.000 0.000 0.000 0.041 VGFGamers 0.000 0.042 0.005 0.004 0.000 0.015 0.000 0.022 SonyPictures 0.000 0.042 0.001 0.019 0.000 0.008 0.000 0.009 GSUniverse 0.000 0.042 0.000 0.023 0.000 0.055 0.001 0.031 blink182 0.000 0.042 0.000 0.067 0.001 0.042 0.000 0.044 SpikeTheBeetle 0.000 0.042 0.000 0.067 0.002 0.062 0.000 0.079 alleniverson 0.009 0.042 0.000 0.069 0.000 0.022 0.000 0.044 Lord_Voldemort7 0.000 0.042 0.000 0.053 0.000 0.070 0.000 0.053 warriors 0.000 0.042 0.003 0.047 0.001 0.020 0.045 0.036 DonaldJTrumpJr 0.000 0.042 0.000 0.028 0.000 0.092 0.000 0.037 dunkindonuts 0.000 0.042 0.000 0.038 0.000 0.061 0.005 0.013 SWatercolour 0.000 0.042 0.016 0.069 0.000 0.041 0.005 0.064 linkinpark 0.018 0.042 0.000 0.078 0.000 0.046 0.000 0.094 ladygaga 0.005 0.042 0.004 0.141 0.002 0.123 0.004 0.059 Lawrence 0.002 0.043 0.000 0.032 0.000 0.000 0.000 0.039 llcoolj 0.000 0.043 0.000 0.088 0.000 0.075 0.000 0.064 ActualEPAFacts 0.000 0.043 0.000 0.120 0.000 0.062 0.010 0.085 xdannyxbrownx 0.000 0.043 0.000 0.064 0.000 0.007 0.000 0.041 fart 0.000 0.043 0.000 0.009 0.000 0.001 0.001 0.008 PLAYERUNKNOWN 0.000 0.043 0.000 0.011 0.000 -0.004 0.007 -0.031 id_744454819285442560 0.000 0.043 0.000 0.031 0.000 0.012 0.000 0.029 midnight 0.000 0.043 0.000 0.062 0.000 0.049 0.000 0.083 VansWarpedTour 0.000 0.043 0.000 0.042 0.000 -0.001 0.000 0.028 MrTeller 0.000 0.043 0.004 0.042 0.000 0.093 0.000 0.039 alt_fda 0.000 0.043 0.030 0.114 0.000 0.063 0.000 0.117 aaronpaul_8 0.003 0.044 0.000 0.040 0.000 0.022 0.000 -0.003 IGN 0.000 0.044 0.000 0.002 0.000 0.027 0.000 0.048 POTUS 0.018 0.044 0.000 0.028 0.001 0.039 0.010 0.013 Predicting Mental Health from Followed Accounts: SUPPLEMENT 152

kroger 0.000 0.044 0.001 -0.009 0.000 -0.026 0.000 -0.016 Cricketnation 0.000 0.044 0.000 -0.004 0.000 -0.026 0.001 0.036 capitalweather 0.000 0.044 0.000 0.005 0.000 -0.026 0.000 -0.011 davematthewsbnd 0.000 0.044 0.000 0.013 0.000 -0.002 0.000 0.020 RealGilbert 0.000 0.044 0.000 0.016 0.000 0.092 0.001 0.036 rhettandlink 0.000 0.044 0.022 0.033 0.000 -0.010 0.000 -0.006 caspercadiaN 0.000 0.044 0.000 0.033 0.000 0.006 0.000 0.010 gifthulk 0.000 0.044 0.000 0.036 0.000 0.022 0.000 -0.027 CommonWhiteGrls 0.000 0.044 0.000 0.047 0.000 0.006 0.000 0.046 booksandthebear 0.000 0.044 0.000 0.053 0.000 0.069 0.000 0.051 YahooEnt 0.000 0.044 0.000 0.061 0.000 0.077 0.000 0.056 DaveSFoley 0.000 0.044 0.000 0.078 0.000 0.037 0.003 0.036 mommye 0.000 0.044 0.000 0.087 0.001 0.116 0.000 0.036 Shannon91981 0.000 0.044 0.000 0.110 0.000 0.077 0.000 0.046 MLBStats 0.003 0.044 0.002 -0.023 0.000 0.039 0.000 -0.017 sundarpichai 0.010 0.044 0.000 -0.020 0.000 -0.018 0.000 0.007 rogerfederer 0.000 0.044 0.000 -0.005 0.000 -0.090 0.000 -0.050 bobbyscar 0.000 0.044 0.000 -0.005 0.000 0.068 0.000 0.059 verified 0.000 0.044 0.000 0.037 0.000 0.039 0.000 0.035 chpwn 0.000 0.044 0.000 0.055 0.000 0.011 0.002 0.073 LMFAO 0.000 0.044 0.000 0.073 0.000 0.075 0.004 0.092 KeeganAllen 0.004 0.044 0.000 0.089 0.000 0.061 0.000 0.078 LeoDiCaprio 0.000 0.044 0.000 0.079 0.000 0.050 0.000 0.046 kristenschaaled 0.000 0.044 0.000 0.054 0.000 0.026 0.001 0.043 MrJamesMay 0.001 0.044 0.004 0.058 0.000 0.097 0.000 0.067 StackSocial 0.000 0.044 0.000 0.088 0.000 0.068 0.000 0.088 danawhite 0.004 0.044 0.000 0.011 0.000 0.002 0.000 0.031 KyloR3n 0.000 0.045 0.000 0.039 0.000 0.053 0.000 0.021 Pontifex 0.012 0.045 0.000 0.024 0.000 0.000 0.000 0.055 GovGaryJohnson 0.008 0.045 0.000 0.059 0.000 0.062 0.000 0.006 Predicting Mental Health from Followed Accounts: SUPPLEMENT 153

GiveawayPromote 0.000 0.045 0.000 0.088 0.001 0.100 0.000 0.011 katyperry 0.000 0.045 0.000 0.059 0.000 0.046 0.000 0.077 TheRealStanLee 0.000 0.045 0.005 0.069 0.000 0.053 0.000 0.057 RoosterTeeth 0.012 0.045 0.000 -0.018 0.000 -0.009 0.000 -0.020 tweetsauce 0.000 0.045 0.000 -0.007 0.000 0.033 0.000 -0.013 SenSanders 0.000 0.045 0.011 0.080 0.000 0.068 0.002 0.026 ID_AA_Carmack 0.000 0.045 0.000 0.059 0.000 0.063 0.000 0.047 facebook 0.000 0.045 0.000 0.068 0.000 0.051 0.000 0.067 RuPaul 0.007 0.046 0.039 0.076 0.000 0.051 0.000 0.047 paulhardware 0.000 0.046 0.000 0.009 0.000 0.064 0.000 0.054 id_824139632354988033 0.005 0.046 0.005 0.108 0.000 0.014 0.000 0.065 BreakingNews 0.004 0.046 0.000 0.036 0.000 0.006 0.000 0.021 GOP 0.000 0.046 0.006 0.042 0.000 0.047 0.000 0.026 TooFaced 0.000 0.046 0.003 0.058 0.000 0.075 0.000 0.012 DebbyRyan 0.000 0.046 0.009 0.073 0.000 0.039 0.000 0.068 Justine_Avery 0.000 0.046 0.000 0.094 0.000 0.032 0.021 0.083 wearegalantis 0.000 0.047 0.005 0.008 0.000 -0.010 0.000 0.051 ClutchChairz 0.006 0.047 0.000 0.010 0.000 -0.002 0.000 -0.001 ninjasexparty 0.000 0.047 0.000 0.010 0.000 0.006 0.000 0.072 nickdiaz209 0.000 0.047 0.004 0.025 0.000 0.053 0.000 0.020 DelMonteFresh 0.000 0.047 0.000 0.044 0.000 0.022 0.000 0.030 GuyCodes 0.000 0.047 0.000 0.050 0.000 0.022 0.000 0.025 ev 0.000 0.047 0.000 0.053 0.000 -0.002 0.000 0.077 tweetbot 0.000 0.047 0.000 0.059 0.000 0.022 0.000 0.087 RL_Stine 0.008 0.047 0.004 0.059 0.001 0.084 0.000 0.046 SuperMeatBoy 0.000 0.047 0.000 0.059 0.000 0.092 0.000 0.072 mitchelmusso 0.000 0.047 0.005 0.061 0.000 0.006 0.002 0.062 Krystenritter 0.000 0.047 0.000 0.064 0.000 0.084 0.000 0.056 Tiyuri 0.000 0.047 0.000 0.070 0.001 0.124 0.000 0.051 summerbrennan 0.000 0.047 0.000 0.073 0.000 0.006 0.000 0.067 Predicting Mental Health from Followed Accounts: SUPPLEMENT 154

ParkerMolloy 0.000 0.047 0.001 0.076 0.000 0.053 0.000 0.036 KimKierkegaard 0.000 0.047 0.000 0.035 0.000 0.015 0.000 0.009 AlanTudyk 0.019 0.047 0.005 0.040 0.000 0.055 0.000 0.040 Slash 0.000 0.047 0.017 0.091 0.000 0.082 0.000 0.088 TheBatman 0.000 0.047 0.001 0.007 0.000 0.044 0.001 0.012 GreenManGaming 0.000 0.047 0.000 0.050 0.000 -0.004 0.012 0.019 BadHombreNPS 0.000 0.047 0.008 0.117 0.000 0.007 0.000 0.100 FractalDesignNA 0.000 0.047 0.000 0.016 0.000 0.012 0.000 0.085 broadcity 0.000 0.047 0.001 0.037 0.000 -0.056 0.001 0.035 JeffreeStar 0.000 0.047 0.000 0.039 0.000 0.143 0.000 0.076 shakira 0.000 0.047 0.005 0.043 0.000 -0.025 0.000 0.064 hm 0.001 0.047 0.000 0.084 0.000 0.069 0.000 0.006 RickandMorty 0.003 0.047 0.000 0.035 0.000 0.066 0.003 0.004 KimDotcom 0.000 0.048 0.000 0.004 0.000 0.034 0.007 0.039 Outback 0.000 0.048 0.000 0.042 0.000 0.010 0.000 0.008 ASUSUSA 0.000 0.048 0.000 0.001 0.000 -0.040 0.000 0.003 MikeTyson 0.000 0.048 0.008 0.028 0.000 0.031 0.000 0.060 nbcsnl 0.000 0.048 0.000 0.088 0.000 0.045 0.000 0.113 Sethrogen 0.004 0.048 0.000 0.046 0.000 0.012 0.000 0.066 SnoopDogg 0.000 0.048 0.000 0.074 0.000 0.049 0.000 0.051 EA 0.000 0.048 0.000 0.030 0.001 -0.025 0.002 -0.016 steveaustinBSR 0.004 0.048 0.000 0.005 0.000 -0.003 0.000 -0.012 CalvinHarris 0.000 0.048 0.000 0.077 0.000 0.053 0.000 0.080 DCComics 0.000 0.049 0.000 0.031 0.000 0.093 0.000 0.044 Mojang 0.000 0.049 0.000 0.004 0.001 0.049 0.012 0.005 BillGates 0.000 0.049 0.003 0.010 0.000 -0.015 0.000 0.030 GetPerk 0.000 0.049 0.000 0.047 0.000 0.035 0.000 0.009 pgammo 0.000 0.049 0.000 -0.018 0.000 0.011 0.000 0.007 UberHaxorNova 0.000 0.049 0.000 -0.005 0.000 0.032 0.000 -0.022 Disneyland 0.008 0.049 0.000 0.016 0.000 0.011 0.000 0.002 Predicting Mental Health from Followed Accounts: SUPPLEMENT 155

Bitstamp 0.003 0.049 0.000 0.026 0.000 0.090 0.000 0.035 hutchinson 0.001 0.049 0.000 0.039 0.000 0.032 0.000 0.035 forexposure_txt 0.000 0.049 0.023 0.045 0.000 0.018 0.003 0.007 NathanKress 0.000 0.049 0.001 0.047 0.000 0.025 0.000 0.121 MrT 0.003 0.049 0.014 0.063 0.000 0.047 0.000 0.073 Ebates 0.000 0.049 0.001 0.083 0.000 0.047 0.000 0.073 UncleRUSH 0.000 0.049 0.018 0.091 0.001 0.097 0.000 0.073 MomSpark 0.003 0.049 0.000 0.102 0.000 0.068 0.002 0.002 nihilist_arbys 0.000 0.049 0.001 0.006 0.000 -0.036 0.000 0.051 noaheverett 0.000 0.049 0.000 -0.008 0.000 -0.019 0.000 0.039 EpicMealTime 0.004 0.049 0.000 0.021 0.000 0.012 0.000 0.076 madflavor 0.000 0.049 0.000 0.032 0.000 0.087 0.000 0.027 iamjamiefoxx 0.000 0.049 0.000 0.055 0.001 0.050 0.000 0.043 DrakeBell 0.002 0.049 0.002 0.077 0.000 0.056 0.000 0.064 thomyorke 0.000 0.049 0.000 0.113 0.001 0.100 0.000 0.048 donttrythis 0.000 0.049 0.000 0.069 0.001 0.051 0.001 0.116 MagnusCarlsen 0.000 0.049 0.000 -0.018 0.000 -0.002 0.000 -0.027 Kappische 0.000 0.049 0.000 -0.015 0.000 0.014 0.000 0.087 indiegamescom 0.000 0.049 0.000 -0.009 0.000 0.022 0.002 0.025 Level1Techs 0.000 0.049 0.000 0.016 0.000 0.022 0.000 0.041 RogerCaneda 0.000 0.049 0.002 0.022 0.000 -0.033 0.000 0.046 TreyTri 0.000 0.049 0.000 0.022 0.000 -0.033 0.012 0.046 nasahqphoto 0.000 0.049 0.000 0.022 0.000 0.045 0.000 -0.001 kevinbacon 0.000 0.049 0.000 0.027 0.000 0.077 0.000 0.015 MTVNews 0.000 0.049 0.000 0.030 0.000 0.077 0.002 0.015 MTVNEWS 0.000 0.049 0.005 0.030 0.000 0.077 0.000 0.015 theduckbrand 0.026 0.049 0.009 0.033 0.000 0.061 0.000 -0.001 megynkelly 0.000 0.049 0.000 0.042 0.000 -0.010 0.007 0.041 bathbodyworks 0.000 0.049 0.000 0.044 0.000 0.045 0.000 0.020 LiveMixtapes 0.000 0.049 0.007 0.050 0.000 -0.002 0.000 0.108 Predicting Mental Health from Followed Accounts: SUPPLEMENT 156

grazeusa 0.003 0.049 0.000 0.053 0.000 0.053 0.002 -0.011 violadavis 0.000 0.049 0.002 0.059 0.000 0.006 0.000 0.025 playasia 0.001 0.049 0.000 0.073 0.000 0.037 0.001 0.098 YesYoureRacist 0.000 0.050 0.000 0.036 0.001 -0.027 0.000 -0.008 cvspharmacy 0.000 0.050 0.000 0.059 0.000 0.057 0.000 0.063 dannypudi 0.005 0.050 0.003 0.061 0.000 0.063 0.006 0.067 id_824126001936474113 0.000 0.050 0.000 0.125 0.000 0.057 0.010 0.102 EllenPage 0.000 0.050 0.000 0.100 0.000 0.065 0.001 0.065 AskAaronLee 0.000 0.050 0.010 0.055 0.000 0.008 0.000 -0.008 MrsSOsbourne 0.000 0.050 0.000 0.093 0.000 0.131 0.000 0.047 adultswim 0.006 0.050 0.000 0.033 0.002 0.070 0.000 0.065 kathygriffin 0.000 0.050 0.000 0.101 0.000 0.132 0.000 0.086 theneedledrop 0.000 0.050 0.003 0.048 0.000 0.055 0.005 -0.021 publichands 0.007 0.051 0.036 0.127 0.000 0.028 0.000 0.103 BarackObama 0.052 0.051 0.043 0.063 0.000 0.015 0.000 0.019 hardwick 0.000 0.051 0.000 0.030 0.000 0.028 0.000 0.064 aplusk 0.002 0.051 0.000 0.095 0.000 0.089 0.000 0.077 IvankaTrump 0.000 0.051 0.000 0.067 0.000 0.092 0.000 0.047 JoeyBats19 0.000 0.051 0.000 -0.027 0.000 0.028 0.004 -0.031 CaptainSparklez 0.000 0.051 0.000 0.040 0.000 0.048 0.000 -0.070 dorrismccomics 0.000 0.051 0.034 0.057 0.000 0.015 0.000 -0.013 20committee 0.000 0.051 0.000 0.062 0.000 0.042 0.000 0.066 atlasobscura 0.000 0.051 0.000 0.064 0.000 0.062 0.000 0.070 id_521593942 0.003 0.051 0.000 0.064 0.001 0.088 0.000 0.026 WayneRooney 0.009 0.051 0.000 0.069 0.000 -0.038 0.012 0.110 MoistCr1TiKaL 0.000 0.052 0.000 -0.002 0.001 0.019 0.000 0.031 KEEMSTAR 0.000 0.052 0.002 0.014 0.001 0.050 0.007 -0.059 rosemcgowan 0.000 0.052 0.000 0.091 0.000 0.075 0.000 0.072 lyft 0.000 0.052 0.000 -0.002 0.000 -0.047 0.000 0.059 Change 0.008 0.052 0.001 0.008 0.000 0.032 0.000 0.026 Predicting Mental Health from Followed Accounts: SUPPLEMENT 157

Stewie 0.000 0.052 0.000 0.026 0.000 0.018 0.000 0.045 reggiewatts 0.000 0.052 0.000 0.032 0.000 0.011 0.000 0.030 WorkaholicsCC 0.000 0.052 0.000 0.037 0.000 0.025 0.000 0.049 RichardEngel 0.000 0.052 0.002 0.042 0.000 0.039 0.012 0.068 ScottAdamsSays 0.000 0.052 0.006 0.042 0.000 0.083 0.000 -0.017 AcaciaBrinley 0.000 0.052 0.000 0.065 0.000 -0.025 0.000 0.040 KeyAndPeele 0.000 0.052 0.000 0.068 0.000 0.061 0.000 0.064 SenKamalaHarris 0.001 0.052 0.006 0.087 0.000 -0.013 0.000 0.012 paulscheer 0.000 0.052 0.000 0.039 0.000 0.036 0.000 0.065 RegalMovies 0.004 0.052 0.000 0.043 0.000 -0.008 0.000 0.021 SimonCowell 0.000 0.052 0.001 0.071 0.000 0.025 0.000 0.073 CespedesBBQ 0.000 0.052 0.000 -0.012 0.000 0.006 0.000 -0.016 demandprogress 0.000 0.052 0.000 0.022 0.000 0.029 0.000 0.036 LouyFierce 0.001 0.052 0.000 0.025 0.000 0.006 0.000 -0.032 BradPaisley 0.000 0.052 0.000 0.036 0.000 0.014 0.000 0.067 NathanZed 0.018 0.052 0.003 0.042 0.000 0.014 0.000 0.036 THEGaryBusey 0.002 0.052 0.000 0.047 0.000 0.037 0.000 0.098 NASAGoddard 0.000 0.052 0.000 0.059 0.000 -0.002 0.000 0.015 Chaosxsilencer 0.000 0.052 0.000 0.076 0.000 0.022 0.000 0.030 enriqueiglesias 0.000 0.052 0.003 0.087 0.001 0.077 0.000 0.129 iamcolinquinn 0.000 0.052 0.000 0.090 0.000 0.132 0.000 0.056 wilw 0.008 0.053 0.000 0.059 0.000 0.017 0.013 0.086 Arbys 0.003 0.053 0.000 0.002 0.000 0.001 0.000 -0.010 EarnHoneydotcom 0.000 0.053 0.003 0.036 0.000 0.017 0.000 0.040 Influenster 0.000 0.053 0.004 0.131 0.000 0.119 0.000 0.029 BestBuy 0.000 0.053 0.000 0.090 0.000 0.064 0.000 0.075 bjnovak 0.000 0.053 0.003 0.022 0.000 0.040 0.000 0.012 ZacharyLevi 0.003 0.053 0.006 -0.005 0.000 0.020 0.000 0.013 egoraptor 0.007 0.053 0.000 0.006 0.000 -0.005 0.000 0.003 KevinSpacey 0.000 0.053 0.000 0.088 0.000 0.086 0.002 0.090 Predicting Mental Health from Followed Accounts: SUPPLEMENT 158

BoobsRadley 0.000 0.054 0.000 0.014 0.000 0.012 0.000 -0.026 TripleH 0.000 0.054 0.003 0.039 0.000 -0.006 0.000 0.006 victoriabeckham 0.004 0.054 0.002 0.095 0.000 0.062 0.000 0.060 bdunkelman 0.000 0.054 0.000 -0.008 0.000 0.028 0.000 0.048 thelonelyisland 0.000 0.054 0.000 0.050 0.001 0.048 0.000 0.070 Chris_Meloni 0.000 0.054 0.000 0.062 0.000 0.028 0.000 0.075 AshBenzo 0.000 0.054 0.000 0.064 0.000 0.015 0.000 0.053 id_718495181914316801 0.000 0.054 0.000 0.071 0.000 0.015 0.000 0.070 evanrachelwood 0.000 0.054 0.000 0.083 0.000 -0.018 0.000 0.048 jennettemccurdy 0.000 0.054 0.014 0.083 0.000 0.055 0.000 0.088 SashaGrey 0.000 0.054 0.016 0.095 0.002 0.075 0.006 0.090 gofooji 0.000 0.054 0.000 0.065 0.000 0.008 0.004 0.014 Giveaway_Plus 0.003 0.054 0.000 0.071 0.000 0.075 0.000 0.028 baseballhall 0.001 0.054 0.000 -0.025 0.000 0.032 0.000 -0.007 WorldWideWob 0.000 0.054 0.022 0.013 0.000 0.083 0.005 0.007 MuscleNerd 0.000 0.054 0.000 0.026 0.000 -0.018 0.000 0.045 mcspocky 0.001 0.054 0.002 0.047 0.000 -0.004 0.000 0.002 souljaboy 0.003 0.054 0.008 0.073 0.000 -0.011 0.000 0.097 id_824027211158130692 0.007 0.054 0.022 0.112 0.000 0.032 0.000 0.092 vgdunkey 0.000 0.055 0.000 0.009 0.000 -0.002 0.008 0.003 statcast 0.000 0.055 0.000 -0.007 0.000 0.022 0.002 -0.006 JaidenAnimation 0.056 0.055 0.000 -0.004 0.000 -0.026 0.000 -0.011 stoya 0.000 0.055 0.000 0.033 0.000 0.029 0.002 0.020 gavinmikhail 0.000 0.055 0.000 0.039 0.000 -0.018 0.000 -0.016 connorfranta 0.000 0.055 0.000 0.039 0.000 0.100 0.000 -0.011 carlyaquilino 0.000 0.055 0.002 0.056 0.000 -0.010 0.000 0.082 dodomesticdad 0.000 0.055 0.000 0.061 0.000 0.077 0.000 -0.006 1capplegate 0.002 0.055 0.000 0.067 0.000 0.108 0.000 0.051 greenpeaceusa 0.000 0.055 0.000 0.104 0.000 0.061 0.000 0.087 Marvel 0.000 0.056 0.005 0.047 0.000 0.048 0.002 0.056 Predicting Mental Health from Followed Accounts: SUPPLEMENT 159

DjokerNole 0.000 0.056 0.005 0.001 0.000 -0.075 0.000 -0.039 harikondabolu 0.000 0.056 0.000 0.082 0.000 0.025 0.000 0.031 PerezHilton 0.000 0.056 0.000 0.104 0.000 0.087 0.000 0.089 BandaiNamcoUS 0.000 0.056 0.000 0.006 0.001 -0.001 0.000 0.016 witchergame 0.004 0.056 0.000 0.044 0.000 0.051 0.014 0.039 SJBlahBlahBlog 0.000 0.056 0.011 0.138 0.000 0.110 0.000 0.051 HowardStern 0.000 0.056 0.023 0.106 0.000 0.087 0.000 0.102 htcvive 0.000 0.056 0.000 0.043 0.000 -0.005 0.000 0.088 TVsAndyDaly 0.000 0.056 0.000 0.055 0.000 0.075 0.000 0.044 WBHomeEnt 0.000 0.056 0.000 0.083 0.000 0.028 0.001 0.070 id_824494641890394114 0.000 0.056 0.024 0.119 0.000 0.008 0.000 0.092 GlennHowerton 0.000 0.056 0.003 0.016 0.000 0.055 0.000 0.056 BryanCranston 0.036 0.057 0.016 0.048 0.001 -0.009 0.000 0.012 id_701658616839872517 0.000 0.057 0.000 0.006 0.000 -0.032 0.020 0.049 JamesWillems 0.001 0.057 0.000 0.006 0.000 0.039 0.003 -0.045 rebeccasugar 0.000 0.057 0.001 0.019 0.000 -0.004 0.002 0.045 BigGoodJohn 0.000 0.057 0.000 0.047 0.000 0.004 0.000 0.026 MirandaCosgrove 0.000 0.057 0.000 0.081 0.000 0.054 0.000 0.092 50cent 0.000 0.057 0.000 0.049 0.000 0.041 0.001 0.050 SiriouslySusan 0.003 0.057 0.000 0.059 0.000 0.044 0.000 -0.002 MarkRuffalo 0.001 0.057 0.000 0.069 0.000 0.073 0.000 0.044 shroud 0.005 0.058 0.000 -0.022 0.000 -0.031 0.000 0.012 jk_rowling 0.000 0.058 0.000 0.084 0.000 0.004 0.000 0.033 HamillHimself 0.001 0.058 0.004 0.019 0.001 0.056 0.000 0.053 MacMiller 0.002 0.058 0.000 0.043 0.001 -0.018 0.000 0.077 LGUS 0.029 0.058 0.003 0.039 0.000 -0.010 0.003 0.067 TeamLiquidLoL 0.000 0.058 0.001 0.044 0.000 0.045 0.000 0.041 rachaelray 0.000 0.058 0.000 0.050 0.001 0.053 0.000 0.030 Zachanner 0.000 0.058 0.002 0.053 0.001 0.061 0.007 0.067 IANMHARDING 0.000 0.058 0.000 0.061 0.000 0.053 0.000 0.020 Predicting Mental Health from Followed Accounts: SUPPLEMENT 160

BenefitBeauty 0.000 0.058 0.000 0.064 0.001 0.116 0.000 0.046 HaloTopCreamery 0.000 0.058 0.000 0.067 0.000 0.037 0.000 0.072 Pantene 0.000 0.058 0.000 0.076 0.000 0.029 0.000 0.020 TLC 0.000 0.058 0.000 0.084 0.000 0.053 0.000 0.087 JennyJohnsonHi5 0.000 0.058 0.000 0.084 0.000 0.061 0.000 0.072 hrw 0.000 0.058 0.000 0.107 0.001 0.132 0.008 0.082 aboutamom 0.006 0.058 0.000 0.118 0.000 0.108 0.000 0.056 ThriftyJinxy 0.000 0.058 0.012 0.118 0.003 0.108 0.000 0.056 iamcardib 0.000 0.058 0.000 0.045 0.000 -0.007 0.002 -0.041 ElizabethBanks 0.000 0.058 0.000 0.138 0.000 0.128 0.000 0.119 OJessicaNigri 0.008 0.058 0.000 0.063 0.000 0.028 0.000 0.070 kevin_nealon 0.000 0.058 0.011 0.076 0.000 0.116 0.000 0.067 CallMeADuck 0.000 0.058 0.000 0.089 0.000 0.075 0.000 0.067 amazondeals 0.000 0.058 0.000 0.065 0.000 0.054 0.000 0.075 SophieT 0.000 0.058 0.000 0.033 0.000 0.075 0.000 0.084 lucyhale 0.000 0.058 0.000 0.079 0.000 0.087 0.000 0.065 TheAVClub 0.000 0.058 0.005 0.037 0.000 0.012 0.000 0.048 reddit 0.005 0.058 0.000 0.034 0.001 0.053 0.011 0.097 IanMcKellen 0.000 0.058 0.000 0.114 0.002 0.124 0.000 0.060 DAVID_LYNCH 0.000 0.058 0.003 0.092 0.000 0.081 0.004 0.075 GoDucks 0.000 0.058 0.000 0.102 0.001 0.055 0.021 0.096 kingsthings 0.000 0.058 0.000 0.104 0.002 0.108 0.000 0.075 twhiddleston 0.000 0.059 0.026 0.073 0.000 0.065 0.000 0.044 GamesDoneQuick 0.011 0.059 0.002 0.014 0.000 0.035 0.000 0.000 MrTonyHale 0.000 0.059 0.000 0.067 0.000 0.028 0.000 0.044 stevewoz 0.000 0.059 0.000 0.067 0.000 0.075 0.008 0.075 DarthVader 0.000 0.059 0.000 0.098 0.000 0.035 0.000 0.053 hitRECordJoe 0.002 0.059 0.006 0.093 0.000 0.049 0.000 0.040 neilhimself 0.002 0.059 0.001 0.071 0.000 0.092 0.000 0.063 Evan_McMullin 0.000 0.059 0.009 0.096 0.000 0.058 0.000 0.092 Predicting Mental Health from Followed Accounts: SUPPLEMENT 161

cthagod 0.000 0.059 0.000 0.034 0.000 0.025 0.000 0.030 waltmossberg 0.000 0.059 0.009 0.050 0.000 0.075 0.000 0.064 tekwendell 0.000 0.059 0.000 0.052 0.000 0.061 0.000 0.068 PapaJohns 0.000 0.059 0.000 0.065 0.000 0.004 0.000 0.068 SweetiesSweeps 0.000 0.059 0.000 0.068 0.000 0.025 0.001 0.054 BookGorilla 0.000 0.059 0.000 0.068 0.000 0.075 0.000 0.016 JimSterling 0.000 0.059 0.002 0.070 0.000 0.032 0.001 0.045 goodreads 0.000 0.059 0.008 0.083 0.000 0.068 0.000 0.059 OfficialKat 0.000 0.059 0.002 0.096 0.000 0.068 0.000 0.083 lomargie 0.000 0.059 0.020 0.109 0.000 0.097 0.000 0.002 TMZ 0.017 0.060 0.000 0.071 0.000 0.069 0.003 0.056 SUBWAY 0.000 0.060 0.000 0.080 0.000 0.008 0.000 0.053 Omundson 0.000 0.060 0.001 0.053 0.000 0.087 0.000 0.021 michaelianblack 0.001 0.060 0.001 0.151 0.000 0.116 0.000 0.096 rogerhamilton 0.000 0.061 0.000 0.025 0.000 0.031 0.000 -0.014 FinalFantasy 0.000 0.061 0.001 0.055 0.000 -0.019 0.000 0.072 _juliannemoore 0.002 0.061 0.000 0.057 0.000 0.037 0.000 0.002 realmikefox 0.000 0.061 0.000 0.070 0.000 0.025 0.002 0.060 systemofadown 0.001 0.061 0.000 0.077 0.000 0.037 0.000 0.064 perlmutations 0.000 0.061 0.000 0.082 0.000 0.106 0.007 0.072 MariahCarey 0.000 0.061 0.000 0.091 0.000 0.093 0.000 0.097 thinkprogress 0.007 0.061 0.000 0.120 0.000 0.075 0.000 0.097 TheSteinLine 0.000 0.061 0.000 0.047 0.000 -0.020 0.000 -0.014 TheNotoriousMMA 0.014 0.061 0.002 0.051 0.000 0.040 0.000 0.000 baseball_ref 0.000 0.061 0.000 -0.004 0.000 0.014 0.000 0.020 RewardingWays 0.000 0.061 0.000 0.019 0.000 0.014 0.000 0.015 unlimapps 0.000 0.061 0.000 0.025 0.000 0.014 0.000 0.093 shanesmith30 0.000 0.061 0.009 0.030 0.000 0.029 0.000 0.077 1jordanbell 0.002 0.061 0.002 0.033 0.000 -0.026 0.024 0.113 motherboard 0.000 0.061 0.000 0.039 0.000 0.037 0.000 0.025 Predicting Mental Health from Followed Accounts: SUPPLEMENT 162

cammipham 0.003 0.061 0.000 0.042 0.000 0.029 0.000 -0.001 CobraCommander 0.000 0.061 0.000 0.042 0.000 0.045 0.000 0.051 KeetPotato 0.003 0.061 0.000 0.044 0.000 0.084 0.000 -0.011 planetbeing 0.000 0.061 0.012 0.056 0.000 -0.010 0.003 0.072 voxdotcom 0.000 0.061 0.000 0.061 0.000 0.029 0.000 0.036 everycolorbot 0.000 0.061 0.000 0.061 0.000 0.100 0.000 0.056 greggrunberg 0.000 0.061 0.000 0.093 0.000 0.053 0.000 0.103 FIRE_THE_FOOL 0.000 0.061 0.000 0.141 0.000 0.053 0.000 0.082 SteveMartinToGo 0.000 0.061 0.000 0.066 0.000 0.046 0.000 0.081 TwitPic 0.000 0.061 0.000 0.016 0.000 0.023 0.000 0.076 ESPNCFB 0.002 0.061 0.000 0.018 0.000 0.087 0.000 0.044 jarpad 0.001 0.061 0.000 0.073 0.000 0.068 0.000 0.018 alwayssunny 0.000 0.061 0.005 0.050 0.001 0.075 0.004 0.009 mikeshinoda 0.006 0.061 0.000 0.081 0.000 0.068 0.000 0.057 kellystilwell 0.000 0.061 0.000 0.129 0.000 0.068 0.000 0.009 WilliamShatner 0.000 0.061 0.000 0.083 0.000 0.137 0.000 0.071 EVO 0.000 0.062 0.003 -0.020 0.000 0.068 0.000 0.064 aparnapkin 0.000 0.062 0.000 0.034 0.000 -0.011 0.000 -0.026 anamariecox 0.006 0.062 0.000 0.039 0.000 -0.011 0.000 0.064 BRANDONWARDELL 0.007 0.062 0.000 0.052 0.000 0.047 0.000 0.087 JaredLeto 0.000 0.062 0.000 0.089 0.000 0.118 0.000 0.073 MaddowBlog 0.000 0.062 0.002 0.025 0.000 0.017 0.000 0.015 DRUNKHULK 0.000 0.062 0.006 0.094 0.000 0.055 0.000 0.100 Spruke 0.000 0.062 0.000 0.044 0.001 0.051 0.000 -0.023 ipsy 0.002 0.062 0.010 0.057 0.000 0.093 0.000 0.051 ADAMDEVINE 0.000 0.063 0.000 0.058 0.000 -0.001 0.000 0.053 DWAnimation 0.002 0.063 0.000 0.001 0.000 -0.037 0.007 -0.002 nicolerichie 0.000 0.063 0.000 0.113 0.000 0.106 0.000 0.122 MKBHD 0.000 0.063 0.004 0.002 0.000 -0.023 0.001 -0.024 ashly_burch 0.000 0.063 0.000 0.050 0.000 0.015 0.000 0.044 Predicting Mental Health from Followed Accounts: SUPPLEMENT 163

SleepintheGardn 0.000 0.063 0.000 0.057 0.000 0.042 0.000 0.057 RobertKirkman 0.000 0.063 0.007 0.071 0.000 0.055 0.010 0.092 CurseGamepedia 0.000 0.064 0.004 -0.029 0.000 -0.049 0.018 0.087 RicFlairNatrBoy 0.000 0.064 0.000 0.019 0.000 -0.002 0.000 0.010 GameDebate 0.007 0.064 0.000 0.022 0.000 -0.026 0.000 0.056 David_Boreanaz 0.000 0.064 0.000 0.050 0.000 0.061 0.000 0.056 kevinpollak 0.000 0.064 0.000 0.064 0.000 0.084 0.000 0.067 LizGillies 0.000 0.064 0.000 0.070 0.000 0.045 0.000 0.056 larryelder 0.000 0.064 0.000 0.070 0.000 0.061 0.001 0.051 HISTORY 0.002 0.064 0.000 0.073 0.000 0.084 0.000 -0.001 dinade 0.000 0.064 0.000 0.104 0.000 0.053 0.000 0.041 rainnwilson 0.005 0.064 0.000 0.054 0.000 0.061 0.000 0.045 rafflecopter 0.000 0.064 0.064 0.131 0.000 0.080 0.000 0.062 ComedyCentral 0.000 0.064 0.004 0.057 0.000 0.135 0.000 0.050 mishacollins 0.010 0.064 0.018 0.069 0.000 0.055 0.000 0.029 VictoriasSecret 0.003 0.064 0.000 0.073 0.000 0.028 0.000 0.022 yokoono 0.019 0.064 0.000 0.088 0.000 0.055 0.000 0.061 burnie 0.012 0.064 0.000 0.003 0.000 0.036 0.000 0.010 chelseaperetti 0.001 0.064 0.000 0.101 0.000 0.092 0.000 0.058 radiohead 0.000 0.064 0.000 0.097 0.000 0.082 0.000 0.054 mulaney 0.000 0.064 0.000 0.091 0.000 0.064 0.000 0.059 FNATIC 0.000 0.065 0.000 0.025 0.000 0.022 0.000 0.055 PauleyP 0.000 0.065 0.000 0.036 0.000 0.069 0.015 0.036 FunhausTeam 0.000 0.065 0.000 0.006 0.000 0.047 0.000 -0.022 TempoReynad 0.000 0.065 0.000 0.013 0.000 -0.011 0.002 0.035 BobbiBrown 0.000 0.065 0.000 0.078 0.000 0.083 0.000 0.021 SouthPark 0.000 0.065 0.000 0.009 0.000 0.059 0.000 0.072 JamesGunn 0.006 0.065 0.000 -0.042 0.000 0.056 0.004 0.027 SwagCodezAlertz 0.000 0.065 0.000 0.007 0.000 0.006 0.000 0.002 didyouknowgamin 0.000 0.065 0.000 0.034 0.001 0.050 0.010 0.039 Predicting Mental Health from Followed Accounts: SUPPLEMENT 164

FLOTUS44 0.000 0.066 0.006 0.037 0.000 -0.051 0.000 -0.007 IMKristenBell 0.000 0.066 0.000 0.097 0.000 0.055 0.000 0.079 UnboxTherapy 0.000 0.066 0.001 0.036 0.001 -0.063 0.001 0.012 Complex 0.000 0.066 0.000 0.052 0.000 0.087 0.000 0.068 DemetriMartin 0.011 0.066 0.000 0.032 0.000 0.077 0.000 0.054 pinchme 0.000 0.066 0.001 0.043 0.000 0.066 0.000 -0.024 n0thing 0.000 0.066 0.000 0.013 0.000 -0.014 0.000 0.058 IGLOOGHOST 0.000 0.066 0.000 0.022 0.000 0.037 0.000 0.004 timehop 0.000 0.066 0.000 0.036 0.000 0.077 0.000 0.056 drdre 0.000 0.066 0.002 0.044 0.000 0.037 0.001 0.082 thatbaldchick 0.000 0.066 0.040 0.047 0.002 0.022 0.000 0.015 Arackybrand 0.000 0.066 0.000 0.053 0.000 0.100 0.000 0.015 JohnScarce 0.000 0.066 0.004 0.059 0.000 0.037 0.000 0.004 RashisTVUgly 0.000 0.066 0.000 0.067 0.000 0.069 0.000 0.093 darcibean 0.022 0.066 0.018 0.081 0.000 0.069 0.000 0.036 benandjerrys 0.001 0.066 0.002 0.084 0.000 0.108 0.000 0.046 mmbear5 0.000 0.066 0.000 0.118 0.000 0.108 0.000 0.030 Weidknecht 0.000 0.066 0.000 0.118 0.000 0.108 0.000 0.030 brokeymcpoverty 0.003 0.066 0.000 0.127 0.000 0.092 0.000 0.108 ESL 0.000 0.067 0.000 0.010 0.000 -0.017 0.000 0.108 RyanSeacrest 0.000 0.067 0.000 0.136 0.000 0.139 0.000 0.065 h3h3productions 0.000 0.067 0.000 0.044 0.000 0.043 0.003 0.030 OfficialJLD 0.000 0.067 0.000 0.059 0.000 0.040 0.000 0.012 MattMcGorry 0.000 0.067 0.001 0.032 0.000 0.039 0.001 0.007 lights 0.001 0.067 0.000 0.034 0.000 0.032 0.000 0.097 tldtoday 0.009 0.067 0.013 0.042 0.000 -0.018 0.000 0.021 SYFY 0.000 0.067 0.000 0.047 0.000 0.039 0.000 0.045 jimmyjohns 0.003 0.067 0.000 0.058 0.000 0.025 0.000 0.073 CokeZero 0.000 0.067 0.000 0.063 0.000 0.039 0.000 -0.007 maureenjohnson 0.009 0.067 0.001 0.070 0.000 0.025 0.000 0.087 Predicting Mental Health from Followed Accounts: SUPPLEMENT 165

billiejoe 0.003 0.067 0.000 0.073 0.001 0.047 0.000 0.064 mdefined 0.001 0.067 0.000 0.086 0.000 0.047 0.000 -0.007 dawnchats 0.000 0.067 0.027 0.133 0.000 0.097 0.000 0.016 mamasmoney 0.000 0.067 0.000 0.143 0.000 0.090 0.001 0.040 Dinnerbone 0.000 0.067 0.016 -0.024 0.000 -0.019 0.004 -0.006 IAMQUEENLATIFAH 0.000 0.067 0.000 0.046 0.000 0.056 0.000 0.060 nypost 0.000 0.067 0.000 0.048 0.000 0.069 0.003 0.052 Timcast 0.017 0.067 0.000 0.064 0.000 0.050 0.000 0.039 id_109065990 0.000 0.067 0.001 0.070 0.000 0.093 0.006 0.019 jessicaalba 0.000 0.068 0.000 0.093 0.000 0.066 0.000 0.077 bioware 0.022 0.068 0.000 0.085 0.000 0.082 0.002 0.005 icecube 0.000 0.068 0.000 -0.028 0.000 0.026 0.002 0.056 ringostarrmusic 0.000 0.068 0.000 0.057 0.000 0.048 0.001 0.044 DaRealAmberRose 0.021 0.068 0.000 0.057 0.000 0.121 0.000 0.044 Terraria_Logic 0.000 0.068 0.031 0.074 0.001 0.095 0.024 0.083 ultabeauty 0.000 0.068 0.000 0.093 0.001 0.108 0.000 0.075 billmaher 0.000 0.068 0.001 0.074 0.000 0.080 0.000 0.062 RealTracyMorgan 0.000 0.069 0.000 0.108 0.000 0.071 0.000 0.059 jennafischer 0.000 0.069 0.001 0.044 0.000 0.021 0.007 -0.035 BulldogBeing 0.000 0.069 0.000 0.005 0.000 0.037 0.000 0.015 rosariodawson 0.000 0.069 0.000 0.022 0.000 0.037 0.002 0.041 EugeneMirman 0.000 0.069 0.000 0.042 0.000 -0.002 0.000 0.036 LiaMarieJohnson 0.000 0.069 0.000 0.042 0.000 0.022 0.000 0.051 id_715198343001952259 0.000 0.069 0.003 0.047 0.000 0.053 0.001 0.025 David_Leavitt 0.000 0.069 0.002 0.050 0.000 0.037 0.000 0.093 chanelwestcoast 0.000 0.069 0.007 0.050 0.000 0.061 0.000 0.087 CadeRageous 0.009 0.069 0.007 0.056 0.001 0.092 0.000 0.004 Machinima 0.000 0.069 0.000 0.056 0.000 0.092 0.000 0.056 LAHWF 0.000 0.069 0.000 0.070 0.000 0.029 0.000 0.062 PlayLucktastic 0.000 0.069 0.005 0.070 0.002 0.077 0.000 0.051 Predicting Mental Health from Followed Accounts: SUPPLEMENT 166

PinkNinjaBlogg 0.000 0.069 0.000 0.098 0.001 0.092 0.000 0.046 farmstarliving 0.019 0.069 0.000 0.115 0.000 0.100 0.000 0.108 SirPatStew 0.004 0.069 0.011 0.081 0.000 0.095 0.000 0.054 seanhannity 0.008 0.069 0.000 0.014 0.000 0.037 0.000 0.027 LILUZIVERT 0.000 0.069 0.001 0.050 0.000 0.100 0.000 0.060 JustinVerlander 0.000 0.070 0.000 0.024 0.000 0.039 0.000 -0.003 eBay 0.000 0.070 0.000 0.065 0.000 0.047 0.000 0.035 OregonPitCrew 0.033 0.070 0.000 0.076 0.000 0.039 0.000 0.054 gaynycdad 0.001 0.070 0.000 0.122 0.000 0.054 0.000 0.007 OriginalFunko 0.000 0.070 0.000 0.089 0.000 0.038 0.000 0.024 AMCTheatres 0.011 0.070 0.000 0.065 0.000 0.012 0.000 0.057 JHarden13 0.033 0.070 0.000 0.067 0.000 0.070 0.000 0.051 jackfrags 0.000 0.071 0.000 0.047 0.000 0.028 0.000 0.040 Sadieisonfire 0.000 0.071 0.000 0.052 0.000 0.062 0.000 0.048 turkopticon 0.034 0.071 0.005 0.081 0.000 0.042 0.002 0.110 daxshepard 0.005 0.071 0.000 0.088 0.000 0.022 0.000 0.053 paulwesley 0.000 0.071 0.000 0.107 0.000 0.082 0.000 0.088 simplystacienet 0.000 0.071 0.000 0.110 0.000 0.088 0.000 0.018 ijustine 0.008 0.071 0.000 0.048 0.000 0.022 0.000 0.055 FilthyFrank 0.000 0.071 0.009 0.076 0.001 0.069 0.001 0.078 JustinMcElroy 0.000 0.071 0.007 0.106 0.000 0.057 0.006 0.047 id_823565852922576897 0.005 0.072 0.000 0.156 0.000 0.031 0.008 0.122 DannyDeVito 0.000 0.072 0.000 0.076 0.000 0.096 0.001 0.072 elizadushku 0.000 0.072 0.001 0.042 0.000 0.044 0.000 0.082 DanielNewman 0.006 0.072 0.006 0.067 0.000 0.077 0.009 0.077 EsquireNetwork 0.000 0.072 0.000 0.101 0.000 0.092 0.000 0.056 mommymatter 0.083 0.072 0.000 0.112 0.000 0.092 0.000 0.025 id_824797212425191425 0.000 0.072 0.038 0.115 0.000 0.077 0.001 0.113 EricTrump 0.000 0.072 0.000 0.045 0.000 0.104 0.000 0.045 donald_faison 0.000 0.072 0.002 0.047 0.000 0.104 0.000 0.078 Predicting Mental Health from Followed Accounts: SUPPLEMENT 167

howiemandel 0.003 0.072 0.000 0.109 0.000 0.068 0.000 0.087 JustinTrudeau 0.000 0.073 0.000 0.104 0.000 0.074 0.000 0.065 MarsCuriosity 0.000 0.073 0.005 0.069 0.000 0.010 0.000 0.042 HilaKleinH3 0.000 0.073 0.005 0.045 0.000 0.046 0.001 0.029 listia 0.000 0.073 0.000 0.023 0.000 0.046 0.000 0.012 csydelko 0.000 0.073 0.000 0.087 0.000 0.034 0.000 -0.031 peteholmes 0.000 0.073 0.000 0.019 0.000 0.028 0.000 0.009 THR 0.002 0.073 0.000 0.023 0.001 0.048 0.002 0.053 warrenellis 0.000 0.073 0.000 0.057 0.000 0.088 0.004 0.097 DollyParton 0.000 0.073 0.000 0.081 0.000 0.035 0.000 0.088 ConservamomE 0.000 0.073 0.000 0.160 0.000 0.135 0.000 0.066 dylansprouse 0.000 0.073 0.002 0.030 0.000 0.027 0.000 -0.017 nick_colletti 0.000 0.074 0.001 0.111 0.000 0.097 0.000 0.104 bouska 0.000 0.074 0.000 0.050 0.000 0.012 0.000 0.015 DavidKHarbour 0.013 0.074 0.000 0.064 0.000 0.019 0.007 0.101 id_824320219866923018 0.000 0.074 0.006 0.139 0.000 0.082 0.001 0.085 Pokemon 0.016 0.074 0.012 0.072 0.000 0.067 0.000 0.008 Sephora 0.014 0.074 0.010 0.061 0.000 0.070 0.000 0.058 CapcomUSA_ 0.000 0.074 0.000 0.075 0.000 0.092 0.000 0.117 alispagnola 0.000 0.074 0.007 0.089 0.000 0.103 0.000 0.046 benlandis 0.000 0.075 0.000 0.062 0.000 0.044 0.000 -0.009 G2shox 0.000 0.075 0.001 0.016 0.000 -0.010 0.000 0.041 olofmeister 0.000 0.075 0.000 0.016 0.000 -0.010 0.000 0.041 EpicGames 0.000 0.075 0.000 0.064 0.000 0.084 0.004 0.051 ben_mckenzie 0.000 0.075 0.003 0.081 0.000 0.108 0.000 0.051 BUYDIG 0.001 0.075 0.000 0.084 0.000 0.077 0.000 0.020 Carmex 0.000 0.075 0.000 0.104 0.000 0.092 0.000 0.010 BusyMomofTwins1 0.033 0.075 0.000 0.124 0.000 0.100 0.000 0.020 adamkovic 0.004 0.075 0.000 0.034 0.000 0.039 0.000 -0.050 Sips_ 0.004 0.075 0.000 0.037 0.001 0.011 0.000 -0.055 Predicting Mental Health from Followed Accounts: SUPPLEMENT 168

id_894748894789115907 0.000 0.075 0.000 0.052 0.000 0.083 0.000 -0.007 ava 0.000 0.075 0.000 0.068 0.000 0.011 0.000 0.049 xeni 0.007 0.075 0.000 0.068 0.000 0.075 0.000 0.030 DrOz 0.000 0.075 0.000 0.083 0.000 0.075 0.001 0.102 ToysRUs 0.000 0.075 0.000 0.138 0.000 0.126 0.000 0.111 Kohls 0.000 0.075 0.000 0.115 0.000 0.145 0.000 0.078 DRUDGE 0.000 0.075 0.000 0.019 0.000 0.046 0.008 0.036 RealGDT 0.000 0.075 0.000 0.065 0.003 0.069 0.000 0.070 arielhelwani 0.000 0.075 0.004 0.055 0.000 0.068 0.001 0.031 pod2g 0.000 0.075 0.000 0.076 0.000 0.022 0.000 0.044 serenawilliams 0.014 0.075 0.000 0.091 0.000 0.008 0.000 0.070 Malala 0.004 0.076 0.001 0.111 0.000 0.076 0.000 0.043 Ska 0.000 0.076 0.000 0.028 0.000 0.019 0.000 0.085 SanDisk 0.000 0.076 0.000 0.057 0.000 0.075 0.000 -0.002 EAStarWars 0.000 0.076 0.000 0.093 0.000 0.037 0.000 0.056 Borderlands 0.000 0.076 0.000 0.043 0.001 -0.020 0.000 0.040 ChrisEvans 0.000 0.077 0.000 0.067 0.000 0.081 0.000 0.026 TheRealBuzz 0.002 0.077 0.000 0.019 0.000 0.039 0.000 -0.007 cocacolarewards 0.000 0.077 0.006 0.060 0.000 0.039 0.000 0.040 Jack_Septic_Eye 0.000 0.077 0.000 0.076 0.000 0.090 0.000 0.054 id_790983013224030209 0.004 0.077 0.007 0.083 0.000 0.047 0.000 0.012 MsRebeccaBlack 0.000 0.077 0.000 0.102 0.000 0.011 0.050 0.125 shespeaksup 0.000 0.077 0.026 0.122 0.000 0.075 0.000 0.064 iansomerhalder 0.000 0.078 0.000 0.119 0.000 0.113 0.001 0.057 Barnacules 0.000 0.078 0.004 0.027 0.000 0.022 0.019 0.062 bigquint 0.004 0.078 0.029 0.098 0.000 0.029 0.001 0.036 depechemode 0.019 0.078 0.004 0.110 0.000 0.084 0.000 0.077 scottmhughes 0.000 0.078 0.000 0.115 0.000 0.100 0.001 0.041 DiscoverSelf 0.000 0.078 0.002 0.167 0.000 0.108 0.000 0.057 ActuallyNPH 0.000 0.078 0.000 0.086 0.000 0.073 0.000 0.064 Predicting Mental Health from Followed Accounts: SUPPLEMENT 169

earlxsweat 0.009 0.078 0.000 0.031 0.000 0.081 0.002 0.069 jacksfilms 0.000 0.078 0.010 0.051 0.000 0.059 0.000 0.032 halsey 0.006 0.078 0.000 0.053 0.000 0.031 0.000 -0.001 Boogie2988 0.000 0.079 0.000 0.071 0.000 0.010 0.000 0.016 DavidSpade 0.014 0.079 0.000 0.074 0.001 0.087 0.000 0.086 RobertDowneyJr 0.000 0.080 0.002 0.063 0.000 0.058 0.001 0.044 Shopkick 0.000 0.080 0.000 0.050 0.000 0.025 0.000 0.012 MBMBaM 0.000 0.080 0.003 0.063 0.000 0.047 0.000 0.026 James_Phelps 0.009 0.080 0.000 0.073 0.000 0.018 0.000 0.068 grav3yardgirl 0.000 0.080 0.000 0.089 0.000 0.047 0.000 0.016 ThePrizeRebel 0.000 0.080 0.004 0.008 0.002 0.036 0.000 -0.019 SavingStar 0.008 0.080 0.000 0.067 0.000 0.095 0.000 0.009 ZachBoychuk 0.000 0.080 0.002 0.083 0.000 0.088 0.000 0.048 MatthewPerry 0.000 0.080 0.000 0.112 0.000 0.108 0.000 0.105 InboxDollars 0.022 0.080 0.000 0.055 0.001 0.087 0.000 -0.012 WholesomeMeme 0.002 0.080 0.000 0.069 0.001 0.064 0.000 0.006 jamesbardolph 0.000 0.081 0.000 -0.012 0.000 -0.010 0.000 0.077 platinumgames 0.006 0.081 0.003 0.019 0.000 -0.002 0.000 0.150 RealKevinConroy 0.000 0.081 0.000 0.022 0.000 0.029 0.000 0.010 JoshRadnor 0.000 0.081 0.000 0.042 0.000 0.045 0.000 0.015 Alex_Verbeek 0.000 0.081 0.000 0.047 0.000 -0.026 0.000 0.030 KathyHabel 0.000 0.081 0.015 0.050 0.000 0.069 0.000 -0.032 StephMcMahon 0.000 0.081 0.000 0.053 0.000 -0.010 0.000 -0.027 MACcosmetics 0.000 0.081 0.000 0.098 0.002 0.147 0.000 0.046 queenofreview 0.000 0.081 0.000 0.127 0.001 0.100 0.000 0.077 DairyFreeGFLife 0.000 0.081 0.024 0.127 0.000 0.100 0.000 0.077 medictom 0.000 0.081 0.000 0.127 0.000 0.100 0.000 0.077 zackfox 0.001 0.081 0.003 0.021 0.000 0.012 0.000 0.064 Wario64 0.000 0.081 0.000 0.076 0.000 0.051 0.004 0.109 nerdist 0.000 0.082 0.000 0.064 0.000 0.077 0.004 0.063 Predicting Mental Health from Followed Accounts: SUPPLEMENT 170

TayZonday 0.000 0.082 0.000 0.035 0.000 0.020 0.000 0.087 postsecret 0.000 0.082 0.009 0.093 0.001 0.092 0.000 0.091 ninadobrev 0.000 0.082 0.000 0.110 0.000 0.087 0.000 0.102 IndivisibleTeam 0.000 0.082 0.000 0.120 0.000 0.036 0.000 0.102 moot 0.005 0.083 0.000 0.014 0.000 -0.005 0.005 0.092 gingercasa1 0.001 0.083 0.000 0.158 0.000 0.135 0.000 0.044 arresteddev 0.000 0.083 0.000 0.047 0.000 0.068 0.000 0.049 jennyslate 0.000 0.083 0.000 0.081 0.000 0.083 0.000 0.040 chrisdelia 0.000 0.083 0.003 0.081 0.000 0.111 0.000 0.068 WarnerBrosEnt 0.006 0.083 0.000 0.083 0.000 0.097 0.000 0.068 Smashbox 0.000 0.083 0.003 0.104 0.000 0.147 0.000 0.059 dentistmel 0.000 0.083 0.000 0.122 0.000 0.118 0.003 0.035 donnahup 0.000 0.083 0.000 0.153 0.000 0.090 0.000 0.035 JohnCleese 0.000 0.083 0.000 0.071 0.002 0.106 0.000 0.047 GeekandSundry 0.011 0.083 0.006 0.067 0.000 0.087 0.005 0.077 altUSEPA 0.015 0.083 0.001 0.126 0.000 0.041 0.000 0.094 AtlusUSA 0.000 0.083 0.000 0.012 0.000 0.012 0.000 0.048 ZacksJerryRig 0.000 0.083 0.000 0.016 0.000 0.022 0.000 0.015 OnFireSemmler 0.000 0.083 0.000 0.061 0.000 0.029 0.000 0.067 littlebitsofall 0.000 0.083 0.000 0.121 0.002 0.124 0.000 0.025 optimistic_mama 0.000 0.083 0.000 0.121 0.000 0.124 0.000 0.025 lifewithheidig 0.001 0.083 0.000 0.158 0.002 0.147 0.000 0.062 markiplier 0.000 0.084 0.000 0.112 0.000 0.102 0.000 0.034 AppStore 0.001 0.085 0.002 0.091 0.000 0.087 0.017 0.097 normmacdonald 0.000 0.085 0.000 0.124 0.000 0.128 0.000 0.097 thinkgeek 0.000 0.085 0.000 0.069 0.000 0.028 0.000 0.036 ESLCS 0.000 0.085 0.001 0.021 0.000 -0.018 0.000 0.062 dragonblogger 0.000 0.085 0.000 0.069 0.000 -0.005 0.000 0.031 Guardians 0.000 0.085 0.000 0.081 0.000 0.075 0.005 0.079 PPact 0.000 0.085 0.011 0.122 0.000 0.028 0.000 0.062 Predicting Mental Health from Followed Accounts: SUPPLEMENT 171

amandabynes 0.001 0.085 0.000 0.071 0.002 0.072 0.000 0.093 marcmaron 0.022 0.085 0.000 0.086 0.000 0.050 0.000 0.122 RayWJ 0.025 0.085 0.000 0.019 0.000 0.011 0.000 0.078 Four_Pins 0.000 0.085 0.000 0.052 0.000 0.083 0.000 0.059 20thcenturyfox 0.000 0.085 0.000 0.065 0.000 0.075 0.000 0.059 thepennyhoarder 0.000 0.085 0.000 0.096 0.000 0.083 0.000 0.021 pamelamaynard 0.000 0.085 0.000 0.109 0.000 0.126 0.000 0.064 ParentingAuthor 0.000 0.085 0.000 0.122 0.000 0.090 0.000 0.035 anthonyjeselnik 0.015 0.085 0.000 0.076 0.001 0.074 0.010 0.094 NotAltWorld 0.002 0.085 0.000 0.132 0.000 0.022 0.001 0.017 boburnham 0.000 0.086 0.004 0.056 0.000 0.023 0.000 0.051 CBSSports 0.000 0.086 0.000 0.019 0.000 0.053 0.000 0.072 Deadpool 0.000 0.086 0.000 0.025 0.000 0.022 0.000 0.067 Sadokist 0.005 0.086 0.000 0.033 0.000 -0.002 0.000 0.093 brucegreene 0.011 0.086 0.000 0.033 0.000 0.053 0.000 -0.042 Tiffanyblogs 0.003 0.086 0.000 0.078 0.000 0.029 0.000 -0.006 ParamountPics 0.000 0.087 0.000 0.107 0.000 0.082 0.000 0.083 UrbanDecay 0.000 0.087 0.005 0.077 0.000 0.106 0.000 0.048 kenradio 0.003 0.088 0.000 0.042 0.000 0.046 0.001 -0.003 dongatory 0.000 0.088 0.001 0.060 0.000 0.047 0.000 0.002 JessicaJones 0.009 0.088 0.000 0.073 0.001 0.097 0.000 0.083 SpaceLy 0.025 0.088 0.000 0.099 0.000 0.039 0.000 0.021 JimCarrey 0.000 0.088 0.000 0.078 0.001 0.053 0.000 0.089 Walgreens 0.000 0.088 0.000 0.115 0.000 0.082 0.008 0.128 pcgamer 0.000 0.089 0.006 0.002 0.000 -0.005 0.028 0.079 smealum 0.000 0.089 0.000 0.005 0.000 -0.018 0.000 0.036 PlanetofFinks 0.000 0.089 0.003 0.087 0.001 0.084 0.000 0.030 Forever21 0.000 0.089 0.006 0.107 0.000 0.069 0.000 0.082 buildabear 0.000 0.089 0.000 0.115 0.000 0.108 0.000 0.020 JRsBBQ 0.023 0.090 0.000 0.023 0.000 0.025 0.000 0.006 Predicting Mental Health from Followed Accounts: SUPPLEMENT 172

The_SpaceWitch 0.000 0.090 0.000 0.129 0.000 0.112 0.000 0.076 ScottAukerman 0.000 0.090 0.000 0.031 0.000 0.035 0.001 0.048 id_707968258054496257 0.000 0.090 0.000 0.033 0.000 0.002 0.000 0.013 CaptainAmerica 0.000 0.090 0.000 0.043 0.000 0.055 0.000 0.048 TheSlyStallone 0.012 0.090 0.000 0.059 0.000 0.035 0.000 0.048 Nightowlmama 0.000 0.090 0.000 0.119 0.000 0.042 0.000 0.013 DrewFromTV 0.000 0.090 0.000 0.070 0.000 0.063 0.000 0.051 KaitlinOlson 0.000 0.090 0.000 0.054 0.000 0.092 0.006 0.094 JoshOG 0.000 0.090 0.000 0.037 0.000 0.011 0.000 0.073 BreitbartNews 0.000 0.090 0.000 0.096 0.000 0.111 0.010 0.073 TwBookClub 0.000 0.090 0.000 0.130 0.000 0.133 0.000 0.049 makobiscribe 0.000 0.090 0.000 0.135 0.000 0.126 0.000 0.040 johngreen 0.000 0.091 0.000 0.064 0.000 0.058 0.013 0.067 lorde 0.003 0.091 0.000 0.091 0.000 -0.013 0.005 0.083 PokeVisionGo 0.000 0.092 0.009 0.056 0.000 0.045 0.000 -0.006 MatPatGT 0.000 0.092 0.000 0.067 0.002 0.116 0.000 0.036 Simone_Biles 0.000 0.092 0.002 0.078 0.000 0.014 0.000 0.030 id_747615361705648129 0.045 0.092 0.000 0.084 0.000 0.108 0.000 0.077 EmilyReviewsCom 0.010 0.092 0.000 0.112 0.000 0.077 0.000 0.072 GabbyLowe 0.000 0.092 0.000 0.118 0.002 0.100 0.000 0.030 Couponmamacita 0.015 0.092 0.001 0.127 0.000 0.084 0.000 0.030 peeweeherman 0.000 0.092 0.012 0.095 0.000 0.107 0.000 0.081 Minecraft 0.000 0.092 0.000 0.011 0.000 0.028 0.000 0.057 Applebees 0.000 0.092 0.000 0.057 0.000 0.035 0.002 0.044 thekillers 0.003 0.092 0.000 0.091 0.000 0.101 0.000 0.101 ItsRamiMalek 0.007 0.092 0.000 0.091 0.000 0.053 0.000 0.062 chloebennet 0.010 0.093 0.002 0.037 0.000 0.018 0.000 0.064 seangares 0.000 0.093 0.000 0.039 0.000 -0.004 0.000 0.068 ColtonLHaynes 0.003 0.093 0.006 0.120 0.000 0.083 0.000 0.125 s8r8l33 0.000 0.093 0.000 0.127 0.000 0.126 0.000 0.026 Predicting Mental Health from Followed Accounts: SUPPLEMENT 173

JayMewes 0.000 0.094 0.000 0.043 0.000 0.075 0.000 0.056 poppy 0.000 0.095 0.000 0.081 0.000 0.075 0.000 0.026 elfcosmetics 0.000 0.095 0.000 0.042 0.000 0.061 0.008 0.067 Friday13thGame 0.000 0.095 0.000 0.095 0.000 0.022 0.000 0.082 teksyndicate 0.000 0.095 0.002 0.095 0.000 0.147 0.000 0.108 ArcticMonkeys 0.008 0.095 0.000 0.101 0.000 0.132 0.004 0.062 KimAtLiah 0.000 0.095 0.000 0.107 0.000 0.100 0.000 0.020 LongWait4Bella 0.000 0.095 0.000 0.129 0.000 0.077 0.000 0.041 Smile7891 0.000 0.095 0.000 0.141 0.000 0.116 0.000 0.051 edhelms 0.002 0.095 0.000 0.060 0.000 0.084 0.000 0.105 NateMaingard 0.024 0.096 0.000 0.125 0.001 0.090 0.008 0.078 brettbmartin 0.016 0.096 0.000 0.130 0.001 0.111 0.000 0.035 RealMomReviews 0.000 0.096 0.014 0.130 0.001 0.111 0.000 0.035 Swagbucks 0.000 0.096 0.011 0.089 0.000 0.064 0.004 0.022 JLo 0.001 0.096 0.000 0.133 0.000 0.146 0.000 0.105 AppleMusic 0.002 0.096 0.000 0.120 0.000 0.070 0.000 0.106 nathanfielder 0.000 0.097 0.000 0.035 0.000 0.064 0.000 0.066 BRIANMBENDIS 0.000 0.098 0.000 0.010 0.000 0.029 0.001 0.067 OnFireAnders 0.000 0.098 0.000 0.039 0.000 0.022 0.000 0.067 tkdsl8655 0.000 0.098 0.000 0.070 0.000 0.014 0.000 0.056 JordanKeyes 0.000 0.098 0.000 0.070 0.000 0.014 0.000 0.056 NyxCosmetics 0.008 0.098 0.002 0.078 0.000 0.116 0.000 0.077 SimplySherryl 0.000 0.098 0.020 0.087 0.000 0.061 0.000 -0.006 StephenKing 0.003 0.098 0.000 0.125 0.000 0.095 0.000 0.077 charliesheen 0.000 0.098 0.000 0.089 0.000 0.091 0.000 0.118 Bob_Mayer 0.000 0.098 0.026 0.099 0.001 0.133 0.000 0.064 tartecosmetics 0.002 0.098 0.002 0.102 0.000 0.111 0.000 0.040 GiveawayBandit 0.000 0.098 0.000 0.133 0.000 0.104 0.001 0.045 id_18708466 0.000 0.098 0.001 0.053 0.000 0.065 0.000 0.038 shanedawson 0.000 0.099 0.000 0.051 0.000 0.042 0.000 0.084 Predicting Mental Health from Followed Accounts: SUPPLEMENT 174

elijahwood 0.000 0.099 0.000 0.066 0.001 0.118 0.000 0.052 id_113134752 0.010 0.099 0.000 0.073 0.001 0.092 0.000 0.068 id_822517901294845953 0.000 0.099 0.033 0.171 0.000 0.174 0.013 0.130 davidduchovny 0.000 0.099 0.000 0.115 0.000 0.088 0.000 0.088 BestBuy_Deals 0.001 0.099 0.000 0.129 0.000 0.148 0.000 0.097 AndyRichter 0.002 0.099 0.003 0.086 0.000 0.083 0.000 0.073 alyankovic 0.000 0.100 0.034 0.098 0.000 0.070 0.002 0.030 ThatKevinSmith 0.000 0.100 0.000 0.069 0.000 0.129 0.000 0.130 StefanMolyneux 0.000 0.100 0.001 0.070 0.001 0.084 0.000 0.041 KelliBMiller 0.003 0.100 0.008 0.135 0.002 0.100 0.000 0.046 alydenisof 0.027 0.101 0.004 0.073 0.000 0.053 0.000 0.051 edgarwright 0.000 0.101 0.004 0.050 0.000 0.081 0.000 0.040 united 0.000 0.101 0.000 0.034 0.000 -0.004 0.001 -0.007 NBK 0.000 0.101 0.008 0.063 0.000 0.004 0.000 0.059 SeeMomClick 0.000 0.101 0.000 0.135 0.000 0.118 0.000 0.073 Maisie_Williams 0.000 0.101 0.000 0.084 0.000 0.097 0.000 0.070 bbpoltergiest 0.000 0.102 0.000 0.021 0.000 0.028 0.003 0.101 markwahlberg 0.000 0.102 0.006 0.059 0.000 0.074 0.000 0.038 kencaillat 0.000 0.103 0.000 0.079 0.000 0.036 0.001 0.017 Fanatical 0.002 0.103 0.003 0.012 0.000 0.002 0.000 0.076 2kidsandacoupon 0.000 0.103 0.000 0.165 0.000 0.137 0.001 0.064 FLOTUS 0.000 0.103 0.000 0.079 0.000 0.047 0.008 0.008 rwilco12 0.000 0.103 0.000 0.067 0.000 0.029 0.000 0.015 HardcoreHistory 0.002 0.103 0.002 0.084 0.000 0.037 0.007 0.062 AdamSandler 0.000 0.103 0.000 0.087 0.000 0.069 0.000 0.072 AnthonySHead 0.030 0.103 0.011 0.090 0.000 0.092 0.000 0.046 TheOregonDuck 0.000 0.104 0.005 0.115 0.000 0.075 0.000 0.110 saurik 0.016 0.105 0.006 0.053 0.000 0.020 0.000 0.040 RobLowe 0.039 0.105 0.000 0.126 0.002 0.117 0.000 0.083 BrettFavre 0.000 0.106 0.000 0.083 0.000 0.068 0.000 0.083 Predicting Mental Health from Followed Accounts: SUPPLEMENT 175

christendtweets 0.000 0.106 0.013 0.089 0.000 0.118 0.000 0.087 YogscastLalna 0.011 0.106 0.000 0.050 0.000 0.029 0.002 -0.042 YogscastSjin 0.000 0.106 0.004 0.050 0.000 0.029 0.000 -0.042 Hunt4Freebies 0.028 0.106 0.025 0.110 0.001 0.092 0.003 0.051 SanitySuburbia 0.054 0.106 0.000 0.149 0.003 0.139 0.000 0.051 jonbonjovious 0.000 0.106 0.000 0.186 0.001 0.163 0.000 0.087 Whataburger 0.000 0.107 0.002 0.075 0.000 0.126 0.003 0.065 griffinmcelroy 0.000 0.107 0.014 0.083 0.000 0.068 0.001 0.035 terrycrews 0.019 0.108 0.000 0.102 0.000 0.074 0.000 0.097 HarleyPlays 0.000 0.109 0.000 0.060 0.000 0.032 0.000 0.045 SweepsAdvantage 0.000 0.109 0.000 0.148 0.000 0.140 0.000 0.083 SethBling 0.000 0.109 0.005 0.019 0.000 0.014 0.000 -0.016 hotted89 0.000 0.109 0.000 0.042 0.000 -0.002 0.006 0.093 BobsBurgersFOX 0.000 0.109 0.010 0.127 0.001 0.100 0.001 0.108 tapas_app 0.000 0.109 0.000 0.132 0.000 0.022 0.003 0.041 PBnWhine 0.000 0.109 0.000 0.152 0.000 0.132 0.000 0.062 Lovesmytwoboys 0.000 0.109 0.000 0.152 0.000 0.132 0.000 0.062 KellysLuckyYou 0.012 0.109 0.005 0.155 0.000 0.122 0.000 0.043 PhillyD 0.000 0.109 0.000 -0.018 0.000 0.030 0.000 0.044 jimmykimmel 0.001 0.110 0.008 0.086 0.000 0.028 0.000 0.089 Idubbbz 0.003 0.110 0.000 0.055 0.000 0.031 0.000 0.033 RMcElhenney 0.008 0.111 0.000 0.063 0.001 0.115 0.000 0.084 kenjeong 0.000 0.111 0.000 0.097 0.000 0.087 0.000 0.094 SimonHoneydew 0.000 0.111 0.000 0.052 0.000 0.035 0.000 -0.035 SpiderManMovie 0.000 0.111 0.000 0.107 0.001 0.082 0.000 0.132 MSmithBubbles 0.000 0.112 0.021 0.093 0.000 0.092 0.007 0.108 AHSFX 0.000 0.112 0.000 0.112 0.000 0.061 0.000 0.077 agalneeds 0.000 0.112 0.000 0.132 0.000 0.092 0.000 0.036 ruthhill74 0.000 0.112 0.022 0.132 0.000 0.092 0.000 0.036 Survey_Squad 0.000 0.112 0.009 0.113 0.000 0.069 0.000 0.101 Predicting Mental Health from Followed Accounts: SUPPLEMENT 176

jeb_ 0.011 0.112 0.000 0.043 0.001 0.077 0.000 0.074 Lin_Manuel 0.000 0.112 0.000 0.121 0.000 0.094 0.005 0.082 Snowden 0.024 0.114 0.008 0.087 0.000 0.075 0.005 0.053 G2kennyS 0.010 0.115 0.000 0.056 0.000 0.014 0.000 0.082 nicepeter 0.050 0.115 0.026 0.078 0.000 0.029 0.000 0.051 id_23741531 0.000 0.115 0.000 0.084 0.000 0.077 0.000 0.087 id_805534657769078785 0.000 0.115 0.000 0.090 0.001 0.069 0.000 -0.001 NIVEAUSA 0.010 0.115 0.000 0.144 0.000 0.132 0.000 0.072 CourteneyCox 0.000 0.116 0.015 0.114 0.000 0.061 0.018 0.064 sleepopolis 0.000 0.116 0.000 0.159 0.000 0.140 0.000 0.059 NightValeRadio 0.000 0.117 0.000 0.083 0.001 0.059 0.000 0.032 FSOC2011 0.018 0.117 0.000 0.151 0.001 0.156 0.000 0.064 _BIGCAT 0.025 0.117 0.000 0.076 0.000 0.092 0.000 0.119 id_824473943931293697 0.043 0.119 0.000 0.153 0.001 0.098 0.000 0.122 EdwardNorton 0.000 0.120 0.000 0.129 0.000 0.146 0.000 0.117 DavidKoechner 0.000 0.120 0.000 0.104 0.000 0.084 0.001 0.082 Lilpeep 0.040 0.120 0.009 0.107 0.000 0.139 0.000 0.139 deadpoolmovie 0.008 0.121 0.000 0.081 0.000 0.097 0.007 0.111 Chrisspymakeup 0.000 0.121 0.000 0.120 0.000 0.118 0.000 0.068 RBReich 0.000 0.121 0.000 0.169 0.000 0.118 0.000 0.140 melissamccarthy 0.000 0.121 0.019 0.179 0.000 0.111 0.000 0.140 SteveCarell 0.007 0.123 0.002 0.137 0.001 0.094 0.001 0.099 GRRMspeaking 0.012 0.123 0.000 0.056 0.000 0.088 0.000 0.074 DesiPerkins 0.017 0.123 0.000 0.118 0.003 0.125 0.000 0.072 TrumpDraws 0.007 0.124 0.020 0.140 0.000 0.055 0.002 0.015 ZackSnyder 0.000 0.124 0.000 0.091 0.001 0.104 0.000 0.092 TheWookieeRoars 0.000 0.124 0.007 0.109 0.000 0.118 0.000 0.106 johnkrasinski 0.002 0.124 0.000 0.070 0.000 0.055 0.000 0.028 joelmchale 0.000 0.125 0.007 0.144 0.001 0.115 0.001 0.126 Totalbiscuit 0.018 0.125 0.000 0.100 0.002 0.173 0.000 0.047 Predicting Mental Health from Followed Accounts: SUPPLEMENT 177

NateDiaz209 0.000 0.126 0.000 0.064 0.000 0.081 0.000 0.048 pewdiepie 0.008 0.126 0.000 0.072 0.000 0.079 0.000 0.016 Comic_Con 0.000 0.126 0.000 0.055 0.000 0.042 0.000 0.057 BillCosby 0.000 0.126 0.000 0.055 0.000 0.068 0.000 0.097 OrvilleIV 0.000 0.126 0.000 0.100 0.000 0.075 0.004 0.123 YogscastLewis 0.000 0.126 0.000 0.064 0.000 0.045 0.000 -0.037 NaNoWriMo 0.002 0.126 0.000 0.104 0.000 0.151 0.000 0.094 jonlajoiecomedy 0.000 0.127 0.000 0.112 0.000 0.075 0.000 0.106 CouponsFreebie 0.000 0.127 0.000 0.164 0.000 0.154 0.000 0.054 arnettwill 0.001 0.127 0.021 0.139 0.000 0.107 0.000 0.124 colesprouse 0.000 0.128 0.000 0.082 0.001 0.070 0.000 0.031 batemanjason 0.000 0.129 0.011 0.122 0.000 0.137 0.000 0.140 GillianA 0.000 0.129 0.033 0.168 0.000 0.115 0.029 0.128 ericandre 0.000 0.129 0.000 0.052 0.000 0.061 0.000 0.077 AMC_TV 0.032 0.129 0.001 0.089 0.000 0.090 0.000 0.078 RiffTrax 0.000 0.129 0.000 0.146 0.001 0.162 0.000 0.116 JustinRoiland 0.000 0.130 0.000 0.059 0.000 0.076 0.000 -0.005 chrishemsworth 0.000 0.131 0.001 0.098 0.000 0.082 0.000 0.092 BillCorbett 0.011 0.132 0.044 0.104 0.000 0.108 0.000 0.103 cartoonnetwork 0.000 0.132 0.000 0.107 0.000 0.090 0.003 0.068 notch 0.000 0.134 0.005 0.100 0.000 0.150 0.018 0.131 MissingLynxx 0.000 0.134 0.000 0.161 0.000 0.108 0.004 0.062 IndoorSmokers 0.000 0.134 0.000 0.120 0.000 0.039 0.000 0.016 FamilyGuyonFOX 0.000 0.137 0.000 0.149 0.001 0.087 0.000 0.155 MrCraigRobinson 0.000 0.137 0.019 0.149 0.000 0.131 0.002 0.105 ders808 0.000 0.139 0.000 0.124 0.000 0.069 0.000 0.113 UncleBlazer 0.000 0.139 0.000 0.077 0.000 0.055 0.000 0.100 HJBenjamin 0.000 0.141 0.000 0.055 0.000 0.042 0.000 0.065 CobieSmulders 0.000 0.142 0.003 0.096 0.000 0.111 0.000 0.083 TomHolland1996 0.000 0.145 0.001 0.086 0.000 0.097 0.000 0.073 Predicting Mental Health from Followed Accounts: SUPPLEMENT 178

GroovyBruce 0.000 0.145 0.000 0.118 0.001 0.182 0.000 0.124 lustrelux 0.000 0.147 0.011 0.127 0.000 0.140 0.000 0.087 yogscast 0.000 0.149 0.000 0.095 0.000 0.075 0.000 -0.015 BBCAMERICA 0.000 0.149 0.008 0.178 0.000 0.110 0.000 0.117 cinemassacre 0.000 0.150 0.000 0.068 0.002 0.097 0.000 0.092 JonTronShow 0.000 0.159 0.000 0.094 0.001 0.079 0.000 0.023 hypedresonance 0.000 0.160 0.000 0.135 0.002 0.108 0.009 0.072 charliekirk11 0.012 -0.120 jamesblake 0.000 -0.120 FightOwensFight 0.007 -0.108 RealCandaceO 0.000 -0.108 GStephanopoulos 0.004 -0.108 real1 0.009 -0.108 itsBayleyWWE 0.002 -0.108 TenilleDashwood 0.000 -0.108 anjunabeats 0.000 -0.108 BretHart 0.000 -0.103 TheDivisionGame 0.000 -0.097 StockTwits 0.000 -0.097 OliverHeldens 0.014 -0.097 RealDDP 0.028 -0.097 sosadtoday 0.000 -0.091 fema 0.000 -0.091 VuduFans 0.004 -0.091 ImThatGentleman 0.000 -0.091 Bonnaroo 0.000 -0.091 JusReign 0.000 -0.091 ManCity 0.000 -0.085 NWSBoston 0.000 -0.079 ImShmacked 0.000 -0.079 Predicting Mental Health from Followed Accounts: SUPPLEMENT 179

JoeLauzon 0.000 -0.079 CryptoGat 0.000 -0.079 djh3max 0.004 -0.079 hat_films 0.000 -0.079 IzGutierrez 0.000 -0.079 HPbasketball 0.003 -0.079 JGhosty 0.000 -0.079 TeamKaliber 0.000 -0.079 momOFscump 0.000 -0.079 jud3vill 0.000 -0.079 NickSwagyPYoung 0.000 -0.079 SportsAuthority 0.000 -0.079 amazonecho 0.000 -0.074 tha_rami 0.000 -0.074 wex1200 0.000 -0.074 RitaPanahi 0.000 -0.074 PegboardNerds 0.000 -0.074 Coffee_House_ 0.004 -0.074 Hiko 0.000 -0.074 rare_basement 0.000 -0.074 JohnnyFootbalI 0.001 -0.074 Christian4Peeps 0.000 -0.074 MOO 0.000 -0.074 RyanMaue 0.000 -0.074 NBATV 0.000 -0.074 ClarionUSA 0.000 -0.074 spacemarch 0.000 -0.068 DraftKings 0.000 -0.068 GovChristie 0.000 -0.068 nbcsvu 0.000 -0.068 Predicting Mental Health from Followed Accounts: SUPPLEMENT 180

bonappetit 0.000 -0.068 thecooleyzone 0.000 -0.068 Chromeo 0.000 -0.068 NBAAllStar 0.001 -0.068 TGIFridays 0.000 -0.068 NFLfantasy 0.000 -0.068 CivGame 0.000 -0.068 heykayadams 0.000 -0.068 KristenLedlow 0.003 -0.068 JOEL9ONE 0.000 -0.068 PRyan 0.000 -0.068 DarrenKavinoky 0.000 -0.068 SalmanRushdie 0.008 -0.068 kawhileonard 0.002 -0.068 FanDuel 0.000 -0.062 ithrow88 0.000 -0.062 talkhoops 0.000 -0.062 foundmyfitness 0.000 -0.062 maxkellerman 0.000 -0.062 TrueKofi 0.000 -0.062 RadeonInstinct 0.000 -0.062 RadeonPro 0.000 -0.062 lolHauntzer 0.000 -0.062 ShinsukeN 0.000 -0.062 WWENXT 0.000 -0.062 AutzenStudents 0.000 -0.062 PennyRed 0.000 -0.062 Mike_Stud 0.000 -0.062 WWEUniverse 0.000 -0.062 veritasium 0.000 -0.062 Predicting Mental Health from Followed Accounts: SUPPLEMENT 181

FieldYates 0.000 -0.062 nest 0.000 -0.062 BeaccchHoussse 0.000 -0.062 onespace_com 0.004 -0.056 SSoHPKC 0.000 -0.056 id_823321180144738307 0.000 -0.056 NikeNYC 0.002 -0.056 AmyDumas 0.000 -0.056 Splyce 0.003 -0.056 USGS 0.000 -0.056 markschlereth 0.000 -0.056 CanonUSA 0.000 -0.056 MarvelHeroes 0.000 -0.056 alex_navarro 0.000 -0.056 DontPayFull 0.000 -0.056 1iota 0.000 -0.056 SkylerJohnson 0.000 -0.056 DCpierson 0.000 -0.056 Marriott 0.000 -0.056 id_2922266132 0.001 -0.056 maddecent 0.000 -0.056 CSLewisDaily 0.000 -0.056 id_240254617 0.000 -0.056 Weak3n 0.000 -0.056 Luminosity 0.000 -0.056 lenovo 0.000 -0.050 Adweek 0.000 -0.050 aureylian 0.003 -0.050 SamiZayn 0.000 -0.050 artiequitter 0.000 -0.050 Predicting Mental Health from Followed Accounts: SUPPLEMENT 182

Jerry_Remy 0.000 -0.050 kporzee 0.000 -0.050 pokelawls 0.000 -0.050 Ghostcrawler 0.000 -0.050 comcast 0.002 -0.050 GameRant 0.000 -0.050 david8hughes 0.001 -0.050 subsetgames 0.000 -0.050 NoisestormMusic 0.002 -0.050 figgled 0.000 -0.050 davedittell 0.000 -0.050 ESPNFantasy 0.000 -0.050 NI_News 0.000 -0.050 Noisia_nl 0.000 -0.050 PHiZZURP 0.000 -0.050 Lonely_Dad 0.000 -0.050 CaptainObvious 0.001 -0.050 dcsportsbog 0.005 -0.050 GoogleStore 0.000 -0.050 costareports 0.000 -0.050 LindseyStirling 0.000 -0.050 AskRobinhood 0.000 -0.050 sciencemagazine 0.000 -0.050 ELEAGUETV 0.000 -0.050 ErikVoorhees 0.003 -0.050 WWEBigE 0.000 -0.050 GoldenKnights 0.000 -0.045 WhatHeLooksLike 0.002 -0.045 cntrpntmusic 0.007 -0.045 lollapalooza 0.000 -0.045 Predicting Mental Health from Followed Accounts: SUPPLEMENT 183

Jesus_M_Christ 0.000 -0.045 SeanLowe09 0.000 -0.045 GMA 0.000 -0.045 mcsweeneys 0.003 -0.045 PDLComics 0.000 -0.045 JoelHeyman 0.000 -0.045 SquidGrip 0.000 -0.045 NRO 0.000 -0.045 NissanUSA 0.000 -0.045 aimeemann 0.000 -0.045 SPACEdotcom 0.000 -0.045 ThrifterDaily 0.000 -0.045 StuBennett 0.000 -0.045 ChristenPress 0.000 -0.045 PopTartsUS 0.000 -0.045 BHPhotoVideo 0.000 -0.045 WWECesaro 0.000 -0.045 MikeNapoli25 0.003 -0.045 KingCrab15 0.000 -0.045 MrRPMurphy 0.000 -0.045 OMGitsfirefoxx 0.000 -0.045 lawblob 0.000 -0.045 daps 0.000 -0.045 fugly 0.000 -0.045 capitalcities 0.000 -0.045 frankieboyle 0.000 -0.045 NPRextra 0.000 -0.045 bridger_w 0.000 -0.045 kschwarb12 0.002 -0.045 iFooYa 0.005 -0.045 Predicting Mental Health from Followed Accounts: SUPPLEMENT 184

JudahWorldChamp 0.000 -0.045 danieldennett 0.000 -0.045 ARizzo44 0.000 -0.045 NightInTheWoods 0.000 -0.039 thepointsguy 0.000 -0.039 Paragon 0.000 -0.039 rob_swire 0.000 -0.039 GabbySidibe 0.006 -0.039 VinylMePlease 0.000 -0.039 MoveTheSticks 0.000 -0.039 HarvardBiz 0.009 -0.039 killthenoise 0.000 -0.039 theglitchmob 0.003 -0.039 feministing 0.000 -0.039 baseballreddit 0.000 -0.039 HilLesha 0.000 -0.039 BarillaUS 0.000 -0.039 IanDarke 0.004 -0.039 BenMank77 0.000 -0.039 coL_noxious 0.000 -0.039 bbrode 0.000 -0.039 DougPolkPoker 0.000 -0.039 ReggieBush 0.005 -0.039 PepsiMAX 0.000 -0.039 kenzliee 0.000 -0.039 sonicdrivein 0.000 -0.039 HookedonFriends 0.003 -0.039 HuffPostParents 0.000 -0.039 100Thieves 0.000 -0.039 polkaudio 0.000 -0.039 Predicting Mental Health from Followed Accounts: SUPPLEMENT 185

totalsratmove 0.000 -0.039 AOL 0.000 -0.039 JackJ 0.000 -0.039 LA2028 0.000 -0.039 Taylors_Bar 0.000 -0.039 Charmin 0.000 -0.039 leepace 0.000 -0.039 RookieMag 0.000 -0.039 jcrasnick 0.000 -0.039 TwitterSports 0.000 -0.039 ramboray 0.000 -0.039 BizNasty2point0 0.000 -0.039 SklarBrothers 0.000 -0.039 Temperrr 0.000 -0.039 FaZe_Rain 0.000 -0.039 ingress 0.000 -0.039 Androidheadline 0.000 -0.039 NickSplat 0.001 -0.039 TheRealJRSmith 0.000 -0.039 ESPNLunardi 0.004 -0.039 XavierWoodsPhD 0.002 -0.039 BWWings 0.001 -0.039 HealingMB 0.000 -0.039 everydaylouie 0.000 -0.039 SirLarr 0.000 -0.033 TheJusticeDept 0.000 -0.033 Seahawks 0.000 -0.033 michiokaku 0.000 -0.033 willsmith 0.000 -0.033 sweden 0.000 -0.033 Predicting Mental Health from Followed Accounts: SUPPLEMENT 186

SenatorReid 0.005 -0.033 KFCBarstool 0.000 -0.033 ohteenquotes 0.000 -0.033 JackPosobiec 0.000 -0.033 SierraNevada 0.006 -0.033 QuestNutrition 0.000 -0.033 TheJetOnTNT 0.000 -0.033 dpshow 0.000 -0.033 wunderground 0.000 -0.033 Biofrostlol 0.000 -0.033 pastebin 0.000 -0.033 NipseyHussle 0.000 -0.033 ShawnMendes 0.000 -0.033 uo_phc 0.000 -0.033 Ritzcrackers 0.000 -0.033 NSYNC 0.000 -0.033 fivefifths 0.000 -0.033 hellcasecom 0.000 -0.033 ShahZaMk 0.000 -0.033 nytimesbooks 0.000 -0.033 Wu_Tang_Finance 0.000 -0.033 GHardstark 0.000 -0.033 IanJamesPoulter 0.002 -0.033 ComedyPosts 0.000 -0.033 hypem 0.000 -0.033 Snapple 0.000 -0.033 FaZeJev 0.000 -0.033 DotEsportsLive 0.000 -0.033 Crayola 0.000 -0.033 kelleymohara 0.000 -0.033 Predicting Mental Health from Followed Accounts: SUPPLEMENT 187

gates_mcfadden 0.000 -0.033 BNBuzz 0.000 -0.033 EsportsArena 0.000 -0.033 sex 0.000 -0.033 DrPhiltill 0.000 -0.033 jilevin 0.000 -0.033 klei 0.007 -0.033 RippleStreetFun 0.000 -0.033 OliverPhelps 0.000 -0.033 Pornhub 0.000 -0.033 Lootably 0.000 -0.033 MonsterGaming 0.000 -0.033 newyorkpsychic 0.000 -0.033 alexisbledel 0.001 -0.033 jackwhitehall 0.000 -0.033 gregorybrothers 0.000 -0.033 IAmCreeSummer 0.000 -0.033 SUP3RFRUIT 0.000 -0.027 baratunde 0.000 -0.027 josealdojunior 0.000 -0.027 Goldust 0.000 -0.027 Topps 0.000 -0.027 PEOPLEGiveaways 0.000 -0.027 JoyceCarolOates 0.002 -0.027 ozonegaming 0.000 -0.027 ONOGesports 0.001 -0.027 thiseverydaymom 0.000 -0.027 spurs 0.000 -0.027 RealBenBailey 0.000 -0.027 TwitterMusic 0.000 -0.027 Predicting Mental Health from Followed Accounts: SUPPLEMENT 188

RicBucher 0.003 -0.027 JacLaurita 0.000 -0.027 JaredDudley619 0.001 -0.027 JugglinJosh 0.000 -0.027 romanmars 0.003 -0.027 Cosmopolitan 0.001 -0.027 DavidMuir 0.006 -0.027 CourtyardHotels 0.000 -0.027 FireflySpirits 0.000 -0.027 ChrchCurmudgeon 0.000 -0.027 OXM 0.000 -0.027 DanaPerino 0.007 -0.027 michellemalkin 0.000 -0.027 samesmail 0.000 -0.027 FreebieDepot 0.001 -0.027 DemetriusHarmon 0.000 -0.027 Blogger 0.000 -0.027 ThingsWork 0.000 -0.027 SovietWomble 0.000 -0.027 fosterthepeople 0.000 -0.027 Alesso 0.000 -0.027 HoustonRockets 0.000 -0.027 OfficialEGL 0.001 -0.027 DisneylandToday 0.000 -0.027 ESPNChiCubs 0.000 -0.027 TheKurtFuller 0.000 -0.027 AJStylesOrg 0.000 -0.027 ericchurch 0.000 -0.027 DrLupo 0.000 -0.027 itsmejono 0.000 -0.027 Predicting Mental Health from Followed Accounts: SUPPLEMENT 189

Criterion 0.000 -0.027 BoyzIIMen 0.000 -0.027 HPdeals 0.000 -0.027 virgiltexas 0.000 -0.027 CallumSwanny 0.000 -0.027 DexertoIntel 0.000 -0.027 Benson_EU 0.000 -0.027 ScottGandhi 0.000 -0.027 MattMrX 0.000 -0.027 Maven 0.000 -0.027 Censor 0.000 -0.027 ACHES 0.000 -0.027 TylerTeeP 0.000 -0.027 ATVIAssist 0.000 -0.027 djacoby 0.000 -0.027 arcadefire 0.000 -0.027 Ricky 0.000 -0.027 OpTicDi3seL 0.000 -0.027 CRAZYMIKESDEALS 0.000 -0.022 Millbeeful 0.000 -0.022 BBCNews 0.000 -0.022 nikewomen 0.000 -0.022 MoiraDonegan 0.000 -0.022 bransonreese 0.000 -0.022 elijahdaniel 0.000 -0.022 Racheldoesstuff 0.000 -0.022 EugeneLeeYang 0.000 -0.022 Amazing_Maps 0.000 -0.022 Avicii 0.002 -0.022 AllStarGame 0.000 -0.022 Predicting Mental Health from Followed Accounts: SUPPLEMENT 190

juliensolomita 0.000 -0.022 id_828706394073395201 0.001 -0.022 YahooAnswersTXT 0.000 -0.022 LarryFitzgerald 0.000 -0.022 OsricChau 0.000 -0.022 NOTSportsCenter 0.000 -0.022 TheFPShow 0.000 -0.022 NatGeoChannel 0.000 -0.022 jennaezarik 0.000 -0.022 joshuadun 0.000 -0.022 nicekicks 0.000 -0.022 jaboukie 0.000 -0.022 melissagira 0.000 -0.022 V_of_Europe 0.000 -0.022 OneRepublic 0.000 -0.022 ashleesimpson 0.000 -0.022 OpTicMaNiaC 0.000 -0.022 Banks 0.000 -0.022 Pamaj 0.001 -0.022 starbucksgold 0.000 -0.022 GCTigerTracker 0.000 -0.022 SwagBucksTricks 0.000 -0.022 phrasesfla 0.000 -0.022 dreckbaerfrau 0.000 -0.022 JimHarris 0.003 -0.022 ReedTimmerAccu 0.000 -0.022 NairoMK 0.000 -0.022 FlT_MOTIVATION 0.000 -0.022 teamfourstar 0.000 -0.022 gamespite 0.000 -0.022 Predicting Mental Health from Followed Accounts: SUPPLEMENT 191

SpotifyCares 0.000 -0.022 EpsonAmerica 0.000 -0.022 devolverdigital 0.000 -0.022 oculus 0.000 -0.022 nprmusic 0.000 -0.022 id_820681010438246401 0.001 -0.022 NormalTweetGuy 0.000 -0.022 MikeIsaac 0.000 -0.022 NoContextAds 0.000 -0.022 sushitrash 0.000 -0.022 AskDrRuth 0.000 -0.022 dogfishbeer 0.000 -0.022 austinnotduncan 0.000 -0.022 Newsweek 0.000 -0.022 pwnallthethings 0.000 -0.022 TeamStarKid 0.000 -0.022 bombsfall 0.000 -0.016 wd_black 0.000 -0.016 earthformed 0.000 -0.016 CoolChillMom 0.000 -0.016 RWitherspoon 0.000 -0.016 GirlsWhoCode 0.005 -0.016 gankstrr 0.000 -0.016 NASAJPL 0.000 -0.016 ElyseWillems 0.001 -0.016 PandaExpress 0.000 -0.016 waypoint 0.000 -0.016 AdventureDub 0.000 -0.016 KappaVelvit 0.000 -0.016 VinnyCaravella 0.000 -0.016 Predicting Mental Health from Followed Accounts: SUPPLEMENT 192

bradshoemaker 0.000 -0.016 DudePerfect 0.000 -0.016 KennedyNation 0.000 -0.016 LTCFoundation 0.000 -0.016 waitwait 0.000 -0.016 adam22 0.000 -0.016 AnthonyDiComo 0.000 -0.016 Dutch_Oven45 0.000 -0.016 krauthammer 0.000 -0.016 utsadeli 0.000 -0.016 richarddeitsch 0.000 -0.016 DetroitRedWings 0.006 -0.016 big_ben_clock 0.000 -0.016 theyearofelan 0.000 -0.016 Raspberry_Pi 0.000 -0.016 DellOutlet 0.000 -0.016 COPA90US 0.000 -0.016 TheTechSlugs 0.000 -0.016 LeVeonBell 0.000 -0.016 IamEnidColeslaw 0.000 -0.016 mineifiwildout 0.000 -0.016 ZellnerLaw 0.000 -0.016 MommyMusings 0.000 -0.016 Brett_McMurphy 0.000 -0.016 cbfowler 0.002 -0.016 wossy 0.000 -0.016 Iumbridge 0.000 -0.016 Tempo_Storm 0.000 -0.016 CrimMinds_CBS 0.000 -0.016 AOC_Gaming 0.000 -0.016 Predicting Mental Health from Followed Accounts: SUPPLEMENT 193

Renegades 0.000 -0.016 SeanAstin 0.000 -0.016 ShelitaBurke 0.001 -0.016 stras37 0.000 -0.016 CFBPlayoff 0.000 -0.016 DanicaPatrick 0.000 -0.016 AmazonStudios 0.001 -0.016 AdamParkhomenko 0.000 -0.016 TimTurnerMusic 0.000 -0.016 dan_aykroyd 0.000 -0.016 OlanRogers 0.000 -0.016 marshawright 0.000 -0.016 carlywaddell 0.000 -0.016 AmazingPhil 0.000 -0.016 shopDisney 0.000 -0.016 andre 0.000 -0.016 mikefossey 0.000 -0.016 shibleysmiles 0.000 -0.016 Freebies4Mom 0.000 -0.016 PERIDOT5XG 0.000 -0.016 Ashton5SOS 0.000 -0.016 NathanSykes 0.000 -0.016 Fyre_flye 0.000 -0.016 TreasureTrooper 0.000 -0.010 edutopia 0.000 -0.010 evan_breen 0.000 -0.010 Ford 0.000 -0.010 theMrMobile 0.000 -0.010 ArielDumas 0.000 -0.010 lizzwinstead 0.000 -0.010 Predicting Mental Health from Followed Accounts: SUPPLEMENT 194

dapwell 0.001 -0.010 PopMech 0.000 -0.010 thriftyniftymom 0.000 -0.010 ChiliPeppers 0.006 -0.010 SampleSource 0.000 -0.010 paulfeig 0.005 -0.010 c9meteosego 0.004 -0.010 SFShock 0.000 -0.010 DominickCruz 0.000 -0.010 IStandWithAhmed 0.002 -0.010 TheStrainFX 0.000 -0.010 LiQuiD112 0.000 -0.010 piercethevic 0.000 -0.010 joe_keery 0.000 -0.010 PCPartPicker 0.000 -0.010 Photoshop 0.000 -0.010 eveewing 0.000 -0.010 CitiField 0.000 -0.010 MLBMeme 0.000 -0.010 AriFleischer 0.000 -0.010 leolaporte 0.000 -0.010 AndrewBrandt 0.000 -0.010 TweetDeleter 0.000 -0.010 StevenSuptic 0.000 -0.010 ovi8 0.000 -0.010 shelbyfero 0.000 -0.010 amomsimpression 0.000 -0.010 JeffreyHayzlett 0.000 -0.010 TheJamieLee 0.000 -0.010 id_704839948722024449 0.000 -0.010 Predicting Mental Health from Followed Accounts: SUPPLEMENT 195

JonVilma51 0.000 -0.010 PrayInFaith 0.000 -0.010 OTruta 0.000 -0.010 Stess2005 0.000 -0.010 SupergiantGames 0.000 -0.010 robfee 0.003 -0.010 m0E_tv 0.000 -0.010 DraftExpress 0.000 -0.010 nickcarter 0.000 -0.010 jcpenney 0.000 -0.010 SheriffClarke 0.000 -0.010 kimguilfoyle 0.000 -0.010 PhilLaak 0.000 -0.010 MagicAntonio 0.000 -0.010 dev1ce 0.001 -0.010 EmergencyPugs 0.002 -0.010 MeCookieMonster 0.000 -0.010 allisonkilkenny 0.000 -0.010 DatelineNBC 0.000 -0.010 morningmika 0.002 -0.010 AppleSupport 0.000 -0.010 TitanicRealTime 0.000 -0.010 hexytv 0.000 -0.010 mytoecold 0.003 -0.010 MiloVentimiglia 0.000 -0.010 OMGitsAliA 0.000 -0.010 blockchain 0.000 -0.010 warnerbrostv 0.004 -0.010 JordyRNelson 0.000 -0.010 5SOS 0.000 -0.010 Predicting Mental Health from Followed Accounts: SUPPLEMENT 196

Toyota 0.000 -0.010 codinghorror 0.000 -0.004 MarthaPlimpton 0.000 -0.004 SertaMattresses 0.000 -0.004 tsue1136 0.000 -0.004 valerie2350 0.000 -0.004 MommysFavThings 0.000 -0.004 TeamKhabib 0.000 -0.004 MightyMouse 0.000 -0.004 Tellwut 0.000 -0.004 NintenDome 0.000 -0.004 chrisweidman 0.000 -0.004 BlizzPro 0.000 -0.004 Kandi 0.000 -0.004 McJesse 0.000 -0.004 StartupLJackson 0.000 -0.004 Linux 0.000 -0.004 TimGettys 0.000 -0.004 Nick_Scarpino 0.000 -0.004 googlefiber 0.000 -0.004 hhgregg 0.000 -0.004 WakaFlocka 0.000 -0.004 DreamHackCSGO 0.000 -0.004 MintMilana 0.000 -0.004 JohnFugelsang 0.000 -0.004 JohnKerry 0.000 -0.004 altgeldshrugged 0.000 -0.004 Earnably 0.000 -0.004 TheMercedesXXX 0.003 -0.004 michaelstrahan 0.000 -0.004 Predicting Mental Health from Followed Accounts: SUPPLEMENT 197

GooseIsland 0.000 -0.004 CommunityCoffee 0.000 -0.004 litecoin 0.000 -0.004 haralabob 0.000 -0.004 TheSilphRoad 0.000 -0.004 DomsWildThings 0.000 -0.004 Wwm_Shakespeare 0.000 -0.004 PapaRandlicious 0.000 -0.004 tastemade 0.003 -0.004 MRodOfficial 0.000 -0.004 camerondallas 0.000 -0.004 DanGlover1 0.000 -0.004 MelDMann 0.000 -0.004 MurderFirstTNT 0.000 -0.004 Swiftor 0.000 -0.004 GeorgesStPierre 0.000 -0.004 AndroidDev 0.000 -0.004 SKGaming 0.000 -0.004 MisfitsGG 0.000 -0.004 AynRandPaulRyan 0.000 -0.004 KatTimpf 0.000 -0.004 insomniacevents 0.004 -0.004 Nelly_Mo 0.000 -0.004 jonmorosi 0.000 -0.004 masonramsey 0.002 -0.004 TheTedAllen 0.000 -0.004 JeffBezos 0.000 -0.004 sonofbum 0.000 -0.004 dcshoes 0.000 -0.004 lindeelink 0.000 -0.004 Predicting Mental Health from Followed Accounts: SUPPLEMENT 198

Lov3rzMagazine 0.000 -0.004 SoundHub 0.000 -0.004 idclrWorldPeace 0.000 -0.004 TheFray 0.000 -0.004 REACTlVE 0.000 -0.004 stunna 0.000 -0.004 PhantomL0rd 0.000 -0.004 Sears 0.000 -0.004 MSFTnews 0.000 -0.004 chrisbosh 0.000 -0.004 JennaUshkowitz 0.000 -0.004 OmahaSteaks 0.001 -0.004 DilfersDimes 0.000 -0.004 Ron_White 0.000 -0.004 nedroid 0.000 -0.004 TheMuppets 0.000 -0.004 RWPUSA 0.000 -0.004 infinitechan 0.000 0.002 DeathStarPR 0.000 0.002 nkjemisin 0.000 0.002 AlannaMasterson 0.000 0.002 kateesackhoff 0.000 0.002 NightHelperBlog 0.000 0.002 mametown 0.000 0.002 AstroSamantha 0.000 0.002 RahulKohli13 0.000 0.002 ellefsondavid 0.000 0.002 Anthrax 0.000 0.002 Megadeth 0.006 0.002 ZakkWyldeBLS 0.000 0.002 Predicting Mental Health from Followed Accounts: SUPPLEMENT 199

Chris_Broderick 0.000 0.002 DaveMustaine 0.000 0.002 KOlusola 0.003 0.002 ftrain 0.000 0.002 kevinburkhardt 0.000 0.002 The7Line 0.000 0.002 mikepiazza31 0.000 0.002 MattHarvey33 0.000 0.002 MetsGM 0.000 0.002 DineshDSouza 0.000 0.002 CharlesRobinson 0.000 0.002 tinynietzsche 0.000 0.002 GadSaad 0.000 0.002 classymommy 0.000 0.002 diamondcandles 0.000 0.002 SweepsDBCom 0.000 0.002 MetroDetroitMom 0.000 0.002 tieks 0.000 0.002 towelthetank 0.000 0.002 PC_Gamer 0.000 0.002 Strippin 0.000 0.002 jungledealsblog 0.000 0.002 MonsterProducts 0.000 0.002 FormerlyZappos 0.000 0.002 MetalHammer 0.000 0.002 RalphLauren 0.000 0.002 EmrgencyKittens 0.000 0.002 dishonored 0.000 0.002 CookOut 0.000 0.002 Teeanderson01 0.000 0.002 Predicting Mental Health from Followed Accounts: SUPPLEMENT 200

NoelClarke 0.000 0.002 missmorenab 0.000 0.002 LilJon 0.000 0.002 id_415878475 0.000 0.002 iamoppose 0.000 0.002 kilokeal 0.000 0.002 ChrisRGun 0.000 0.002 NeverNotFunny 0.000 0.002 EAMobile 0.000 0.002 ItGetsBetter 0.000 0.002 shabbyapple 0.000 0.002 ProfBrianCox 0.000 0.002 AronsThoughts 0.000 0.002 JodieSweetin 0.000 0.002 steamykitchen 0.000 0.002 joshuagates 0.001 0.002 eliroth 0.000 0.002 EricIdle 0.000 0.002 montypython 0.000 0.002 theroots 0.000 0.002 Rogue 0.000 0.002 davemeltzerWON 0.000 0.002 DearAuntCrabby 0.000 0.002 SBNationGIF 0.000 0.002 EarnKnowledge 0.000 0.002 Doritos 0.000 0.002 Bengals 0.000 0.002 billboard 0.000 0.002 aarongreenberg 0.000 0.002 thegameawards 0.000 0.002 Predicting Mental Health from Followed Accounts: SUPPLEMENT 201

grumpygamer 0.000 0.002 GlenSchofield 0.001 0.002 rogerkver 0.000 0.002 HCS 0.003 0.002 TurkerNational 0.000 0.002 AnthonyHopkins 0.000 0.002 subpop 0.000 0.002 BaskinRobbins 0.000 0.002 mtvgames 0.000 0.002 boostmobile 0.000 0.002 kraftrecipes 0.000 0.002 FreemaOfficial 0.000 0.002 GreyDeLisle 0.000 0.002 VsauceThree 0.000 0.007 BestVlNES 0.000 0.007 rimmellondonUS 0.000 0.007 FTB_Team 0.006 0.007 XGames 0.000 0.007 brutalmoose 0.000 0.007 TKbreezy 0.000 0.007 CountVonCount 0.000 0.007 dailyzen 0.000 0.007 rpetrich 0.000 0.007 Chargers 0.000 0.007 Eastbay 0.000 0.007 skinhub 0.000 0.007 RonnieFieg 0.000 0.007 JamesKyson 0.000 0.007 EmazingLights 0.000 0.007 GrrrGraphics 0.000 0.007 Predicting Mental Health from Followed Accounts: SUPPLEMENT 202

Cardinals 0.001 0.007 dose 0.000 0.007 PowerbyMomBlog 0.000 0.007 PeteSouza 0.000 0.007 OSUCoachMeyer 0.000 0.007 PointlessBlog 0.000 0.007 JohnBrennan 0.000 0.007 iddqd 0.000 0.007 bubzbeauty 0.002 0.007 backstreetboys 0.000 0.007 GOPTeens 0.000 0.007 IntThings 0.000 0.007 JohnKasich 0.000 0.007 JebBush 0.000 0.007 SoFabSweeps 0.000 0.007 LumionUSA 0.000 0.007 JapanCrate 0.004 0.007 TheCousinSal 0.000 0.007 PokemonSwordNS 0.000 0.007 TheHomeforIndie 0.000 0.007 DollarTree 0.001 0.007 socialmoms 0.000 0.007 ynscspds 0.000 0.007 redban 0.000 0.007 cgrand3 0.000 0.007 MartinOMalley 0.000 0.007 ActionBronson 0.000 0.007 mrmoneymustache 0.000 0.007 qmee 0.000 0.007 AdamBaldwin 0.000 0.007 Predicting Mental Health from Followed Accounts: SUPPLEMENT 203

Edelman11 0.000 0.007 reeses 0.000 0.007 21savage 0.000 0.007 Pillsbury 0.000 0.007 Coffeemate 0.000 0.007 Pusheen 0.000 0.007 JohnKruk 0.000 0.007 JonahNRO 0.000 0.007 grahamelliot 0.000 0.007 jraitamaa 0.000 0.007 sepinwall 0.003 0.007 badbanana 0.000 0.007 Direct2Drive 0.000 0.007 mybomibox 0.000 0.007 uniguide 0.000 0.007 YourHealthyYear 0.000 0.007 celebrityhottub 0.000 0.007 Kekeflipnote 0.000 0.007 MLBDraft 0.000 0.007 iammrvandy 0.000 0.007 TheBillyWest 0.001 0.007 arielwinter1 0.000 0.007 NerdistNews 0.000 0.007 AFP 0.000 0.007 PatriotsOfMars 0.000 0.007 LukeRomyn 0.004 0.007 MikeWhitaker 0.002 0.007 DanWetzel 0.000 0.007 katya_zamo 0.000 0.007 CAA_Official 0.000 0.007 Predicting Mental Health from Followed Accounts: SUPPLEMENT 204

BrainvoyagerMsc 0.000 0.007 pascalguyon 0.000 0.007 leenewtonsays 0.000 0.007 Nate_Cohn 0.000 0.007 laurenlapkus 0.000 0.013 NikkieTutorials 0.000 0.013 duncantrussell 0.000 0.013 tonyschwartz 0.000 0.013 PerdueChicken 0.000 0.013 DanielleMuscato 0.000 0.013 Immortals 0.000 0.013 htcesports 0.000 0.013 UltClassicRock 0.001 0.013 Voyboy 0.000 0.013 ChaoxLoL 0.000 0.013 MattBellamy 0.000 0.013 PublishersWkly 0.000 0.013 MomSpotted 0.000 0.013 MichaelKors 0.000 0.013 BenSimmons25 0.000 0.013 NintendoVS 0.000 0.013 538politics 0.000 0.013 jiatolentino 0.000 0.013 Foodimentary 0.000 0.013 TheMilesLuna 0.000 0.013 JonRisinger 0.000 0.013 MattHullum 0.000 0.013 mydealrocks 0.001 0.013 roguestormtv 0.000 0.013 Grover 0.000 0.013 Predicting Mental Health from Followed Accounts: SUPPLEMENT 205

goldengateblond 0.000 0.013 thunderf00t 0.000 0.013 theoduscrane 0.006 0.013 SharedDotCom 0.000 0.013 CHVRCHES 0.000 0.013 datsik 0.000 0.013 MLBPAClubhouse 0.000 0.013 mommykatandkids 0.000 0.013 BeckyWillis 0.000 0.013 flo_tweet 0.000 0.013 TheAndyKatz 0.000 0.013 ClareGrant 0.000 0.013 addthis 0.000 0.013 UWBadgers 0.000 0.013 GhostGaming 0.000 0.013 MariSmith 0.000 0.013 BettyBowers 0.000 0.013 Alaska5000 0.000 0.013 LisaKudrow 0.000 0.013 NashFargo 0.000 0.013 DaybreakGames 0.000 0.013 StevenWilsonHQ 0.000 0.013 lawbreakers 0.000 0.013 garrynewman 0.000 0.013 UnrealEngine 0.000 0.013 YayaHan 0.000 0.013 DeathWishCoffee 0.000 0.013 Judgenap 0.000 0.013 FoxBusiness 0.000 0.013 id_2445739381 0.000 0.013 Predicting Mental Health from Followed Accounts: SUPPLEMENT 206

HighlyRefined 0.001 0.013 GoldGloveTV 0.000 0.013 StatsBySTATS 0.000 0.013 frankiemuniz 0.000 0.013 ddockett 0.000 0.013 soylent 0.000 0.013 MGM_Studios 0.000 0.013 BAM__MARGERA 0.000 0.013 SodaStreamUSA 0.000 0.013 LandsEnd 0.000 0.013 ScottWesterfeld 0.000 0.013 500Startups 0.000 0.013 EJDionne 0.000 0.013 dantebasco 0.000 0.013 MelissaRauch 0.000 0.013 EliStokols 0.000 0.013 emptywheel 0.001 0.013 Zisteau 0.000 0.019 thinkpiecebot 0.000 0.019 IHE_OFFICIAL 0.000 0.019 starbomb 0.003 0.019 RubberNinja 0.000 0.019 Dir_Devon_Avery 0.000 0.019 Razack66 0.000 0.019 MelanieIglesias 0.000 0.019 nestbedding 0.000 0.019 bobducca 0.000 0.019 LifesABargain 0.000 0.019 ZoeSugg 0.000 0.019 A_Seagull 0.000 0.019 Predicting Mental Health from Followed Accounts: SUPPLEMENT 207

LiquidChillin 0.000 0.019 ryanyeetz 0.000 0.019 RollingStones 0.000 0.019 jimsciutto 0.000 0.019 HootsuiteMobile 0.000 0.019 NinjaTheory 0.001 0.019 GAMEdigital 0.009 0.019 PHIL_FISH 0.000 0.019 loltyler1 0.000 0.019 ATT 0.003 0.019 MobieChick 0.000 0.019 JoeMande 0.000 0.019 id_1432138212 0.000 0.019 cuzin_logic 0.000 0.019 alittleumbrella 0.000 0.019 TheReviewWire 0.000 0.019 HealthyWiserLLC 0.000 0.019 SocialSavvyGeek 0.000 0.019 springsteen 0.000 0.019 BrendanSchaub 0.002 0.019 2K_UK 0.000 0.019 IronMaiden 0.000 0.019 MrsTad 0.000 0.019 RightThisMinute 0.000 0.019 nikesb 0.000 0.019 bjork 0.000 0.019 Pringles 0.001 0.019 TWCBreaking 0.000 0.019 TheGingerarchy 0.000 0.019 geoffjohns 0.005 0.019 Predicting Mental Health from Followed Accounts: SUPPLEMENT 208

PestDefense 0.000 0.019 ColdFusion_TV 0.000 0.019 TMNT 0.000 0.019 blackcircles 0.000 0.019 PugetSystems 0.000 0.019 DaveDTC 0.000 0.019 minutephysics 0.000 0.019 XboxEntertain 0.000 0.019 theharryshearer 0.002 0.019 HotNewHipHop 0.000 0.019 HipHopDX 0.000 0.019 Champ_Payne 0.000 0.019 Karabo_Mokgoko 0.000 0.019 nbc 0.000 0.019 WheelofFortune 0.000 0.019 BabyCenter 0.000 0.019 NoiseyMusic 0.000 0.019 DaleJr 0.000 0.019 NdamukongSuh 0.000 0.019 takeaDailybreak 0.000 0.019 AldiUSA 0.000 0.019 Nickelodeon 0.000 0.019 amazonfiretv 0.000 0.019 VitaminShoppe 0.000 0.019 CouponAnna 0.000 0.025 RepCummings 0.000 0.025 airfarewatchdog 0.000 0.025 KazHiraiCEO 0.000 0.025 ShawkatAlia 0.000 0.025 _BrianaDejesus 0.000 0.025 Predicting Mental Health from Followed Accounts: SUPPLEMENT 209

Javimarroquin9 0.000 0.025 AmberLPortwood 0.001 0.025 ColourPopCo 0.000 0.025 FreebieJulie 0.000 0.025 Tempo_S2J 0.000 0.025 skydart 0.000 0.025 LibyaLiberty 0.000 0.025 JadAbumrad 0.000 0.025 CarmenSandiego 0.000 0.025 FriedgeHNIC 0.002 0.025 PierreVLeBrun 0.004 0.025 yoifeellike 0.000 0.025 LearningHandsOn 0.000 0.025 MonteCristo 0.000 0.025 ArmsControlWonk 0.000 0.025 doctorow 0.000 0.025 anildash 0.002 0.025 leanettef 0.000 0.025 awonderland 0.000 0.025 WhatSoNot 0.000 0.025 TaranKillam 0.000 0.025 MommysBlckParty 0.000 0.025 Jamericanspice 0.000 0.025 MarinoBambinos 0.000 0.025 CanvasPop 0.000 0.025 amandlastenberg 0.000 0.025 torrentfreak 0.000 0.025 mPinoe 0.000 0.025 WhitePplQuote 0.000 0.025 adamgoldmanNYT 0.000 0.025 Predicting Mental Health from Followed Accounts: SUPPLEMENT 210

beck 0.000 0.025 JackAllTimeLow 0.000 0.025 OldSchoolRS 0.000 0.025 talkandroidnews 0.000 0.025 arden_cho 0.003 0.025 amazingatheist 0.000 0.025 waynecoyne 0.003 0.025 theflaminglips 0.000 0.025 reddit_million 0.000 0.025 GirlCode 0.000 0.025 trixiemattel 0.000 0.025 womenshumor 0.000 0.025 moneyartist 0.003 0.025 ttpm 0.000 0.025 mirandalambert 0.000 0.025 iamthemaven 0.000 0.025 tomshardware 0.000 0.025 Polytron 0.001 0.025 WayneBrady 0.000 0.025 wagsk13wjs_e 0.000 0.025 DocGooden16 0.000 0.025 googlevoice 0.000 0.025 TonyDungy 0.000 0.025 HistoryToLearn 0.000 0.025 Happy1 0.000 0.025 G2SmithZz 0.017 0.025 kiocsgoo 0.000 0.025 Teleflora 0.000 0.025 AvosfromMexico 0.000 0.025 id_386788466 0.000 0.025 Predicting Mental Health from Followed Accounts: SUPPLEMENT 211

tysonchandler 0.000 0.025 southernkrazed 0.000 0.025 1stopmom 0.000 0.025 TimMiller2011 0.000 0.025 id_30841587 0.000 0.025 marshmellomusic 0.000 0.025 BruceFeldmanCFB 0.006 0.025 iamkevingates 0.000 0.025 SonyElectronics 0.000 0.025 freebiespot 0.000 0.025 ErnestLe 0.000 0.025 AADaddario 0.000 0.025 itsJulieBowen 0.002 0.025 serafinowicz 0.000 0.025 EAAccess 0.002 0.025 flyinglotus 0.000 0.025 IamTrevorMay 0.000 0.025 TheTylt 0.000 0.025 tribelaw 0.000 0.025 Richard_Schiff 0.000 0.025 TomDaley1994 0.000 0.025 maddieziegler 0.000 0.025 TBlackford3 0.000 0.025 tinybuddha 0.000 0.031 State_Champs 0.000 0.031 JoyceDuboise 0.000 0.031 SenseofCents 0.000 0.031 SonequaMG 0.000 0.031 id_965015705123930114 0.007 0.031 jeffltaylor2 0.000 0.031 Predicting Mental Health from Followed Accounts: SUPPLEMENT 212

Tritonal 0.000 0.031 BreeNewsome 0.000 0.031 jondaly 0.000 0.031 Carrie_Rachel 0.000 0.031 FFDP 0.000 0.031 JesseCox 0.000 0.031 alicecooper 0.000 0.031 JonathanRKnight 0.000 0.031 kandeejohnson 0.000 0.031 SumerianRecords 0.000 0.031 JakePeriphery 0.000 0.031 mishaperiphery 0.000 0.031 FRONZ1LLA 0.000 0.031 iseestarsmusic 0.009 0.031 SPENCESOTELO 0.000 0.031 dannyworsnop 0.000 0.031 NikkiSixx 0.000 0.031 Matt_LeBlanc 0.000 0.031 id_2445577673 0.000 0.031 abbieheppe 0.000 0.031 Reince 0.000 0.031 CSGOEmpire 0.000 0.031 twittels 0.000 0.031 RoyHalladay 0.000 0.031 ayeshacurry 0.000 0.031 id_566677237 0.000 0.031 newscientist 0.000 0.031 TwitterLive 0.000 0.031 Scholastic 0.000 0.031 GrantlandLive 0.000 0.031 Predicting Mental Health from Followed Accounts: SUPPLEMENT 213

EllohimeTwitch 0.000 0.031 stayingyoung2 0.000 0.031 dc_mma 0.000 0.031 Dove 0.000 0.031 dellhome 0.000 0.031 childrensplace 0.003 0.031 UzoAduba 0.000 0.031 scharpling 0.000 0.031 C4ETech 0.000 0.031 kevinmitnick 0.003 0.031 StatikSelekt 0.001 0.031 KREAYSHAWN 0.002 0.031 CurrenSy_Spitta 0.000 0.031 ZotacCup 0.000 0.031 DuckDuckGo 0.000 0.031 SarcasticRover 0.000 0.031 HARDWELL 0.000 0.031 MLBTheShow 0.000 0.031 Hersheys 0.000 0.031 TempleRun 0.000 0.031 Abovo42 0.000 0.031 TJLang70 0.001 0.031 TommyLasorda 0.000 0.031 DiGiorno 0.000 0.031 NotTinaFey 0.000 0.031 OversightDems 0.000 0.031 testedcom 0.000 0.031 LittleTikes 0.000 0.031 JesseMcCartney 0.001 0.031 TWLOHA 0.004 0.031 Predicting Mental Health from Followed Accounts: SUPPLEMENT 214

WhitfordBradley 0.000 0.031 sassypiehole 0.000 0.031 AriMelber 0.000 0.031 corbinbleu 0.000 0.031 MarlonWayans 0.000 0.031 tanga 0.000 0.031 SELFmagazine 0.000 0.031 winniesun 0.000 0.031 juliannehough 0.000 0.031 MsMissy62 0.000 0.031 sydneemcelroy 0.000 0.031 pleatedjeans 0.000 0.031 soccerdotcom 0.000 0.031 id_15279452 0.001 0.031 whatcd 0.004 0.031 shiralazar 0.000 0.031 frankcifaldi 0.000 0.031 haydenpanettier 0.000 0.031 eBayDeals 0.000 0.031 WalmartToday 0.000 0.031 AVTVClub 0.000 0.031 Calum5SOS 0.002 0.031 NoahMunck 0.000 0.031 Colts 0.000 0.036 mrsfields 0.000 0.036 edible 0.000 0.036 CokePokes 0.000 0.036 TweakUpdates 0.000 0.036 id_736250348466229253 0.000 0.036 SlackHQ 0.001 0.036 Predicting Mental Health from Followed Accounts: SUPPLEMENT 215

iamKingLos 0.000 0.036 AP_Politics 0.002 0.036 YahooCare 0.000 0.036 SpaceshipsLB 0.000 0.036 Felissahadas 0.000 0.036 JustMarriedMom3 0.000 0.036 NaturesSleep 0.000 0.036 thislilpiglet 0.000 0.036 davidwain 0.000 0.036 Ginger_High 0.000 0.036 MikiHope 0.000 0.036 Elleberra 0.000 0.036 MumbleBeeInc 0.000 0.036 Lions 0.000 0.036 TrumpSC 0.000 0.036 PigsAndPlans 0.000 0.036 peta 0.000 0.036 momfindsout 0.000 0.036 RoseMarie4Real 0.007 0.036 QueenWillRock 0.000 0.036 beastieboys 0.000 0.036 blicqer 0.000 0.036 id_797869498757955589 0.000 0.036 illwah 0.000 0.036 Slayer 0.000 0.036 SeetherOfficial 0.000 0.036 CyberpunkGame 0.000 0.036 satyanadella 0.005 0.036 rockpapershot 0.000 0.036 IGBundles 0.000 0.036 Predicting Mental Health from Followed Accounts: SUPPLEMENT 216

pickupIines 0.000 0.036 Jaboowins 0.000 0.036 JheneAiko 0.000 0.036 dumbassgenius 0.000 0.036 CecilBaldwinIII 0.000 0.036 DaveWeasel 0.000 0.036 id_284441324 0.000 0.036 whoisMGMT 0.000 0.036 MyKiddiesCorner 0.000 0.036 247moms 0.000 0.036 Overstock 0.000 0.036 tmbg 0.000 0.036 DarrellIssa 0.000 0.036 sarahlane 0.000 0.036 HaggarCo 0.001 0.036 oddfuckingtaco 0.000 0.036 gofundme 0.000 0.036 EmmaBunton 0.000 0.036 ParisJackson 0.000 0.036 ChloeKim 0.000 0.036 danpfeiffer 0.000 0.036 KChenoweth 0.000 0.036 RachelLCoppola 0.000 0.036 LoganLerman 0.000 0.036 NETGEAR 0.009 0.036 id_2612261960 0.000 0.042 scalzi 0.000 0.042 AcevogWomen 0.000 0.042 samasam 0.000 0.042 MimiBakerMN 0.000 0.042 Predicting Mental Health from Followed Accounts: SUPPLEMENT 217

trintran 0.000 0.042 Jensen 0.000 0.042 RivingtonThe3rd 0.000 0.042 DarshanU 0.000 0.042 LemonNation 0.000 0.042 Sneaky 0.000 0.042 FlyBalls 0.000 0.042 womensmarch 0.000 0.042 DucksauceInc 0.000 0.042 trendymomreview 0.000 0.042 CristineStruble 0.000 0.042 KlayThompson 0.000 0.042 zerowondering 0.000 0.042 jccaylen 0.019 0.042 garnierUSA 0.000 0.042 samirawiley 0.000 0.042 KermitTheFrog 0.000 0.042 iAmFroggyFresh 0.000 0.042 kirstin 0.000 0.042 IngrahamAngle 0.003 0.042 RyanLochte 0.000 0.042 Crowdfire 0.002 0.042 whedonesque 0.000 0.042 LFC 0.009 0.042 fewnation 0.000 0.042 sweetpeasavings 0.000 0.042 RobZombie 0.000 0.042 codyko 0.000 0.042 ParentingPatch 0.000 0.042 mommieswithcent 0.000 0.042 Predicting Mental Health from Followed Accounts: SUPPLEMENT 218

BillBailey 0.000 0.042 sixers 0.000 0.042 DrStrange 0.003 0.042 JohnLithgow 0.000 0.042 DanRyckert 0.000 0.042 ManMadeMoon 0.000 0.042 shortyawards 0.002 0.042 Chip_Chick 0.000 0.042 Zak_Bagans 0.000 0.042 BiglyPrez 0.000 0.042 wescraven 0.000 0.042 wellbelove 0.002 0.042 claytandrew 0.000 0.042 GamePro 0.000 0.042 wreckitralph 0.000 0.042 ourkidsmom 0.000 0.042 MidgetMomma1200 0.000 0.042 ByEmilyStephens 0.000 0.042 CleverHousewife 0.000 0.042 WiCProject 0.000 0.042 infusedreviews 0.000 0.042 lohanthony 0.000 0.042 ModernFam 0.000 0.042 ZodiacFacts 0.000 0.042 lenatheplug 0.002 0.042 joshuatopolsky 0.000 0.042 semphisss 0.000 0.042 TPM 0.000 0.042 indelight 0.000 0.042 brendonurie 0.000 0.042 Predicting Mental Health from Followed Accounts: SUPPLEMENT 219

MomsMeet 0.000 0.042 MarkSalling 0.000 0.042 FitspirationaI 0.000 0.042 tothekidswho 0.000 0.042 okgo 0.000 0.042 KINGDOMHEARTS 0.000 0.042 KodakBlack1k 0.000 0.042 idoser 0.000 0.042 TheItMom 0.000 0.042 Gklippingkrazy 0.000 0.042 FocusPointeGLB 0.000 0.042 digg 0.004 0.048 SuperMCGamer 0.000 0.048 LYNNGVNN 0.009 0.048 ThisIsPVRIS 0.001 0.048 NYCMayor 0.000 0.048 MrChuckD 0.000 0.048 AndreaRussett 0.000 0.048 nocontextpawnee 0.000 0.048 CaprisCoupons 0.000 0.048 anomalyxd 0.000 0.048 CuriousZelda 0.000 0.048 absurdistwords 0.000 0.048 holly 0.001 0.048 shondarhimes 0.000 0.048 IMBrettDalton 0.000 0.048 GOBankingRates 0.000 0.048 id_752581890716999680 0.000 0.048 RareCat 0.005 0.048 LMC502 0.000 0.048 Predicting Mental Health from Followed Accounts: SUPPLEMENT 220

CentralBargains 0.001 0.048 MamasMission 0.001 0.048 giveawaymonkey 0.000 0.048 MomVacationSpot 0.000 0.048 TheWordens 0.000 0.048 topnotchblog 0.004 0.048 Monica61 0.000 0.048 PeaOfSweetness 0.001 0.048 LiteraryWinner 0.000 0.048 authorldeluca 0.000 0.048 theECOlifestyle 0.001 0.048 ThisWayandThat 0.000 0.048 LifeWithKathy 0.000 0.048 cipbtro 0.000 0.048 DanelleJohns 0.001 0.048 BudgetEarth 0.000 0.048 Choosingtolive 0.000 0.048 ThisIsCori 0.000 0.048 WheelnDealMama 0.000 0.048 inkscrblr 0.000 0.048 perfimperfct 0.000 0.048 MyPhotopage 0.000 0.048 yeewittlethings 0.000 0.048 realChadJohnson 0.000 0.048 research_city 0.000 0.048 metalsucks 0.000 0.048 chuggaaconroy 0.005 0.048 ChampionsLeague 0.000 0.048 drewtoothpaste 0.005 0.048 screencrushnews 0.000 0.048 Predicting Mental Health from Followed Accounts: SUPPLEMENT 221

crissles 0.000 0.048 atmosphere 0.000 0.048 SoVeryAwkward 0.000 0.048 RealRonnieMagro 0.000 0.048 SammiSweetheart 0.000 0.048 wwd 0.000 0.048 nodoubt 0.000 0.048 kobunheat 0.000 0.048 duffgoldman 0.000 0.048 WritersDigest 0.000 0.048 AdoreDelano 0.000 0.048 GiGiHadid 0.000 0.048 DATBLACKMOMBA13 0.000 0.048 OMGhada 0.000 0.048 thxmailcarrier 0.000 0.048 StacieinAtlanta 0.002 0.048 mommityblog 0.000 0.048 hughhefner 0.000 0.048 DropsByJay 0.000 0.048 autimaticTV 0.000 0.048 Xizt 0.000 0.048 ScreaM_ 0.000 0.048 AcerAmerica 0.000 0.048 sequoia 0.000 0.048 VentureBeat 0.000 0.048 AppzThatRock 0.000 0.048 TheGeekFuel 0.000 0.048 OATreasure 0.000 0.048 Bluvos_HQ 0.001 0.048 jerrytrainor 0.000 0.048 Predicting Mental Health from Followed Accounts: SUPPLEMENT 222

RT_com 0.000 0.048 juliussharpe 0.000 0.048 Radioblogger 0.000 0.048 rhysiedarby 0.000 0.048 TeaPainUSA 0.002 0.048 fwong 0.000 0.048 id_598919816 0.000 0.048 AltStateDpt 0.000 0.048 BarbraStreisand 0.000 0.048 georgemoen 0.000 0.048 CREWcrew 0.000 0.048 StephenCaggiano 0.000 0.048 UniversalPics 0.000 0.048 CBS 0.000 0.048 Veronica 0.000 0.048 travismcelroy 0.000 0.048 Pogue 0.000 0.048 CutonDime25 0.005 0.048 DavidHenrie 0.000 0.048 EmilyOsment 0.000 0.048 SunChips 0.000 0.048 alexa_chung 0.000 0.048 THEREALSWIZZZ 0.000 0.048 xavierkatana 0.000 0.048 WorkMoneyFun 0.003 0.054 XFX_PlayHard 0.000 0.054 PurinaCatChow 0.019 0.054 voatco 0.000 0.054 silverstein 0.000 0.054 ChelseaGrinUT 0.000 0.054 Predicting Mental Health from Followed Accounts: SUPPLEMENT 223

KianLawley 0.000 0.054 NYDailyNews 0.000 0.054 ginatrapani 0.000 0.054 GradeAUnderA 0.000 0.054 evernote 0.000 0.054 AsianGeekSquad 0.000 0.054 numberFire 0.000 0.054 amomontheside 0.000 0.054 luckytoddler 0.000 0.054 chuckpalahniuk 0.000 0.054 huffpostqueer 0.001 0.054 DanielleLW2B 0.000 0.054 craftymomof3 0.002 0.054 kristinnw 0.000 0.054 ohmygoshbeck 0.000 0.054 JulsB20 0.000 0.054 Mohawk_Home 0.000 0.054 beckvalleybooks 0.000 0.054 id_694945630561648641 0.012 0.054 cestomina 0.000 0.054 Lil_Henstridge 0.000 0.054 AltNatParkSer 0.000 0.054 EarthPix 0.000 0.054 MarioLopezExtra 0.000 0.054 BrandsSayingBae 0.000 0.054 skilletmusic 0.006 0.054 Logan_RTW 0.000 0.054 Kellinquinn 0.000 0.054 UNICEF 0.000 0.054 Fergie 0.000 0.054 Predicting Mental Health from Followed Accounts: SUPPLEMENT 224

thegame 0.000 0.054 SaintsRow 0.000 0.054 fourzerotwo 0.002 0.054 IbottaApp 0.000 0.054 GreggDoyelStar 0.000 0.054 DamnHiIarious 0.000 0.054 jakefogelnest 0.000 0.054 Eagles 0.000 0.054 WayThingWorks 0.000 0.054 TerribleHerbst 0.000 0.054 madlib 0.000 0.054 bibbymoynihan 0.000 0.054 BenSPLATT 0.000 0.054 coin_comments 0.000 0.054 DominicScott 0.000 0.054 Top_DC 0.002 0.054 WeDestefani 0.000 0.054 ClimaWorld 0.000 0.054 thehumanxp 0.004 0.054 MattStoicSteady 0.000 0.054 JaimieAlexander 0.000 0.054 TheJeffBridges 0.000 0.054 Somecallmejon 0.002 0.060 LaughingSquid 0.000 0.060 grabpoints 0.000 0.060 LaMadelynn 0.000 0.060 GlamLifeGuru 0.000 0.060 EG_PPMD 0.000 0.060 derekwaterss 0.000 0.060 skyferreira 0.000 0.060 Predicting Mental Health from Followed Accounts: SUPPLEMENT 225

CalebShomo 0.008 0.060 TheWordAlive 0.000 0.060 jameyjasta 0.000 0.060 hatebreed 0.000 0.060 MemphisMayFire 0.000 0.060 Neil_Druckmann 0.000 0.060 thexfiles 0.000 0.060 attell 0.000 0.060 heidiklum 0.000 0.060 johntdrake 0.000 0.060 Gotham 0.000 0.060 OG_McSkillet 0.000 0.060 id_479809444 0.000 0.060 LeafyIsHere 0.000 0.060 YABOYLILB 0.000 0.060 bgamegiveaway 0.004 0.060 therealRITTZ 0.000 0.060 jimjonescapo 0.000 0.060 naval 0.006 0.060 Kuvshinov_Ilya 0.000 0.060 jedwhedon 0.000 0.060 YahtzeeCroshaw 0.000 0.060 BoingBoing 0.000 0.060 NCAA 0.000 0.060 comicsalliance 0.000 0.060 InTheLittleWood 0.000 0.060 Akon 0.000 0.060 milanicosmetics 0.000 0.060 garywhitta 0.000 0.060 UniversalORL 0.000 0.060 Predicting Mental Health from Followed Accounts: SUPPLEMENT 226

pzf 0.003 0.060 MsAmberPRiley 0.000 0.060 ChristaBMiller 0.000 0.060 Ridd1e 0.001 0.060 TheReal_Jlh 0.000 0.060 HaveSippy 0.000 0.060 Hostess_Snacks 0.000 0.060 couponmomof4 0.000 0.060 Wikipedia 0.000 0.065 bmthofficial 0.000 0.065 NHLFlyers 0.000 0.065 manofmanytastes 0.003 0.065 djkhaled 0.000 0.065 GA 0.000 0.065 ALT_DOJ 0.000 0.065 PatrickRothfuss 0.000 0.065 ANightOwlBlog 0.000 0.065 KenMarino 0.004 0.065 epitaphrecords 0.000 0.065 CBR 0.000 0.065 Yoshi1up 0.000 0.065 woodwatches_com 0.010 0.065 DrinkingQuest 0.006 0.065 alt_J 0.000 0.065 Gary_TheDog 0.000 0.065 standup 0.000 0.065 ItsGaryTime 0.000 0.065 crendor 0.000 0.065 DiDoodlings 0.000 0.065 Aerosmith 0.000 0.065 Predicting Mental Health from Followed Accounts: SUPPLEMENT 227

genesimmons 0.003 0.065 indieroyale 0.000 0.065 tweepi 0.000 0.065 slashdot 0.000 0.065 chronicdevteam 0.000 0.065 iphone_dev 0.000 0.065 Brittanysnow 0.000 0.065 ASAPYams 0.001 0.065 _stumbler 0.000 0.065 coloritcom 0.000 0.065 AXE 0.000 0.065 TristanGHill 0.000 0.065 SavingMichele 0.000 0.065 AlanFelyk 0.001 0.065 JimOHeir 0.000 0.065 MichaelKeaton 0.000 0.065 redbullesports 0.002 0.065 marieclaire 0.000 0.065 breakingbenj 0.000 0.071 p0sixninja 0.000 0.071 Nigel_Farage 0.000 0.071 EscapeTheFate 0.000 0.071 MzKatieCassidy 0.003 0.071 allinwithchris 0.000 0.071 newtgingrich 0.002 0.071 SarahPalinUSA 0.000 0.071 ChrisPirillo 0.000 0.071 abdashsoul 0.000 0.071 JW1 0.000 0.071 RajonRondo 0.006 0.071 Predicting Mental Health from Followed Accounts: SUPPLEMENT 228

jules_su 0.000 0.071 BryanFuller 0.000 0.071 janedeals 0.000 0.071 Lindt_Chocolate 0.000 0.071 tylerhoechlin 0.000 0.071 MingNa 0.000 0.071 thorofficial 0.000 0.071 WakeupPeopIe 0.000 0.071 Reviewanygame 0.000 0.071 JoelGHodgson 0.000 0.071 ShinobiNinja 0.000 0.071 mjkeenan 0.000 0.071 machavelli7 0.000 0.071 WebMD 0.000 0.071 JimCameron 0.000 0.071 Tropicana 0.000 0.071 IAMJHUD 0.000 0.071 GarySinise 0.000 0.071 zuandoemkta 0.000 0.071 AleaMilham 0.000 0.071 Stonekettle 0.000 0.077 SippyCupMom 0.000 0.077 gustosagiveaway 0.000 0.077 PoshJournalBlog 0.000 0.077 IHGiveaways 0.000 0.077 themamareport 0.000 0.077 PCSpecialist 0.005 0.077 gatesfoundation 0.000 0.077 StreetFighter 0.000 0.077 ArcadeSushi 0.000 0.077 Predicting Mental Health from Followed Accounts: SUPPLEMENT 229

candicepatton 0.000 0.077 dpanabaker 0.000 0.077 MohamedMOSalih 0.000 0.077 Khanoisseur 0.000 0.077 slipknot 0.007 0.077 paparoach 0.000 0.077 lacroixwater 0.000 0.077 MickJagger 0.000 0.077 RawStory 0.000 0.077 MattBennett 0.000 0.077 i0n1c 0.000 0.077 patricknorton 0.000 0.077 OfficeGovEthics 0.000 0.077 OurNameIsFun 0.000 0.077 HarvestSnaps 0.000 0.077 HoustonTexans 0.000 0.077 brax1wnl 0.000 0.077 patriot_viper 0.000 0.077 AltUSFWSRefuge 0.000 0.077 bessbell 0.000 0.077 Susan_Hennessey 0.000 0.077 PetMagasin 0.000 0.077 SophiaBush 0.000 0.077 BHGLiveBetter 0.000 0.077 AphexTwin 0.000 0.083 ProjectMGame 0.000 0.083 LukeCage 0.000 0.083 Vikings 0.005 0.083 Caddicarus 0.004 0.083 riserecords 0.000 0.083 Predicting Mental Health from Followed Accounts: SUPPLEMENT 230

id_266791973 0.000 0.083 ddkesports 0.000 0.083 AgentM 0.000 0.083 ShuttleCDRKelly 0.000 0.083 ObamaMalik 0.000 0.083 innocence 0.000 0.083 shoryukendotcom 0.003 0.083 SerebiiNet 0.000 0.083 scullymike 0.003 0.083 ReinaScully 0.000 0.083 edzelyago 0.000 0.083 michaelpachter 0.000 0.083 IamStevenT 0.000 0.083 HotTopic 0.000 0.083 nojumper 0.044 0.083 Blue______Wave 0.000 0.083 davedays 0.000 0.083 TwitterSafety 0.000 0.083 HeLoEnterprises 0.012 0.083 TechN9ne 0.000 0.083 CHRIS_Daughtry 0.000 0.083 VerizonDeals 0.000 0.083 MomCentral 0.000 0.083 BoredElonMusk 0.000 0.089 HayleyKiyoko 0.000 0.089 KeithPowell 0.015 0.089 AndyKindler 0.000 0.089 TheDefenders 0.000 0.089 gootecks 0.000 0.089 crosscountertv 0.000 0.089 Predicting Mental Health from Followed Accounts: SUPPLEMENT 231

BlogWithMom 0.000 0.089 ellenblogs 0.000 0.089 jastusa 0.000 0.089 missjudygreer 0.000 0.089 TheVulcanSalute 0.009 0.089 jspring86az 0.000 0.089 SmoshIan 0.000 0.089 TwoPaddocks 0.000 0.089 SunandSipCups 0.000 0.089 SirScoots 0.000 0.089 ItsTheSituation 0.000 0.089 MrScottEddy 0.000 0.089 NeYoCompound 0.000 0.089 katharinemcphee 0.000 0.089 RichelleMead 0.000 0.094 Trade4Cashcom 0.000 0.094 robinlordtaylor 0.000 0.094 StandUpRepublic 0.000 0.094 TeamFortress 0.011 0.094 SWStheband 0.000 0.094 karaswisher 0.000 0.094 Time4mommy 0.001 0.094 someecards 0.000 0.094 kassemg 0.000 0.094 BDisgusting 0.000 0.094 OfficialWillow 0.000 0.094 TheRealMikeEpps 0.000 0.094 BadMiiversePost 0.022 0.100 jamieleecurtis 0.001 0.100 NoToFeminism 0.000 0.100 Predicting Mental Health from Followed Accounts: SUPPLEMENT 232

AnneRiceAuthor 0.004 0.100 laurenbabic 0.000 0.100 LukeHolland 0.000 0.100 HereIsGina 0.006 0.100 gruber 0.000 0.100 MacRumors 0.008 0.100 GunnerGale 0.000 0.100 RogueSNRadvisor 0.000 0.100 GwynethPaltrow 0.000 0.100 bloomplanners 0.000 0.100 somedaypicks 0.000 0.100 focusattack 0.006 0.100 NVIDIAGeForceUK 0.011 0.106 anthonypadilla 0.000 0.106 AshleySmashlaay 0.000 0.106 realrobbwells 0.004 0.106 RealKiefer 0.000 0.106 razzadoop 0.000 0.112 PlaytonicGames 0.000 0.112 SlickWraps 0.000 0.112 trailerparkboys 0.000 0.112 AngelaKinsey 0.012 0.112 evgagaming 0.000 0.112 EnviroNews 0.012 0.112 Pouyalilpou 0.000 0.112 bep 0.000 0.118 bellathorne 0.000 0.118 catsu 0.000 0.118 kasthomas 0.000 0.118 ederosia 0.000 0.123 Predicting Mental Health from Followed Accounts: SUPPLEMENT 233

KristianNairn 0.000 0.123 ThatChrisGore 0.000 0.123 YtThumbnails 0.000 0.123 ROCCAT 0.000 0.123 davemorrissey64 0.000 0.123 wheezywaiter 0.000 0.123 JeffParshley 0.013 0.135 Ridiculousness 0.078 0.141 samstein 0.012 0.146 WCGamingTweets 0.000 0.158 AmiiboNews 0.000 0.164