Software Requirements Specification Tinder Meets Career Services
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Naval Reserve Command
NAVAL RESERVE OFFICER TRAINING CORPS Military Science –1 (MS-1) COURSE ORIENTATION Training Regulation A. Introduction: The conduct of this training program is embodied under the provisions of RA 9163 and RA 7077 and the following regulations shall be implemented to all students enrolled in the Military Science Training to produce quality enlisted and officer reservists for the AFP Reserve Force. B. Attendance: 1. A minimum attendance of nine (9) training days or eighty percent (80%) of the total number of ROTC training days per semester shall be required to pass the course. 2. Absence from instructions maybe excuse for sickness, injury or other exceptional circumstances. 3. A cadet/ cadette (basic/advance) who incurs an unexcused absence of more than three (3) training days or twenty percent (20%) of the total number of training during the semester shall no longer be made to continue the course during the school year. 4. Three (3) consecutive absences will automatically drop the student from the course. C. Grading: 1. The school year which is divided into two (2) semesters must conform to the school calendar as practicable. 2. Cadets/ cadettes shall be given a final grade for every semester, such grade to be computed based on the following weights: a. Attendance - - - - - - - - - - 30 points b. Military Aptitude - - - - - 30 points c. Subject Proficiency - - - - 40 points 3. Subject proficiency is forty percent (40%) apportioned to the different subjects of a course depending on the relative importance of the subject and the number of hours devoted to it. It is the sum of the weighted grades of all subjects. -
A Close Look at Tinder Bots
A Close Look at Tinder Bots Tahora H. Nazer∗ Fred Morstatter∗ Gareth Tysony Huan Liu∗ Abstract Tinder is a popular dating app that allows users to discover potential dating partners with close geographical proximity. Tinder is the first dating app in several countries and has more than 50 million users. However, many of these users are bots with malicious intent. The first step in dealing with this issue is understanding the characteristics of Tinder bots. Toward this aim, we have proposed a ground truth collection method to acquire bots to study. Our method combines honeypot methods and manual annotation. We find that probing messages is a reliable method to distinguish bots from humans as bots promote malicious URLs and direct users to phishing sites. Our observations on the collected bots show that they are more complex than bots that are studied in other social media sites. Tinder bots have profiles that are very hard to differentiate from normal users. We explore activity and profiles of these bots and report the characteristics that can be used in building a supervised learning approach for bot detection. 1 Introduction Tinder1 is one of the most popular dating applications for Android and iOS mobile phones. Tinder is recognized as the most downloaded app in 18 countries with the biggest app Figure 1: User life-cycle on Tinder. After a user joins Tinder, markets. In several countries including USA, UK, Canada, majority of the time is spent for matching and messaging. and Australia, Tinder is the most popular dating app2. Tinder has more than 50 million users [1] and they spend around 77 is no way to access user profiles unless they are shown by an minutes on it [5] every day. -
Suspect Social Web Sites Tinder – a Photo/ Messaging Dating App For
May 12, 2017 PO Box 190242 ● Boise ID 83719 Suspect Social Web Sites Tinder – A Photo/ Messaging dating app for browsing pictures within a certain-mile radius of user’s location. It can be dangerous for teens to meet up with strangers within their geographic location. Instagram – Lets users snap, edit and share photos as well as 15 second videos publicly or with network of followers. Public Photos is the default setting unless privacy settings are used. Private messaging is also an option through Instagram Direct. Teens can be on lookout for “Likes” or “Comments” as a measure of “success”, self-worth and popularity. Snapchat – Lets users put time limit on photos/ videos sent before disappearing. Teens use to send embarrassing images believing they won’t go public. Persons receiving can take screen shot before image disappears and has also been hacked for recovery purposes. Makes “sexting” seem safe encouraging users to send sexual images; some of which have been used for extortion of sender commonly known as “Sextortion”. Tumblr – Streaming scrapbook of texts, photos, and/or video/audio clip postings. Porn easy to find via raunchy, pornographic images & videos which often also depict violence, self-harm, drug use and offensive language. First profiles are public and viewable by any internet user with subsequent privacy settings only available via awkward workarounds. Posts are often copied and shared. Kik-Messenger – A texting app that allows communication with strangers using their Kikusernames to find people to chat with. Also has a Kikcommunity blog where users can submit photos of themselves and screenshot messages; sometimes displaying user’s full name. -
Introduction to Online Dating
INTRODUCTION TO ONLINE DATING Whatever you’re looking for…it’s out there What is Online Dating Searching for a romantic partner on the Internet via a dedicated website usually with the goal of creating a real-world relationship Other People via their Online Profile You Your Online Profile What is Online Dating 35, doctor, likes outdoors 42, accountant, divorced, plays in a band You 37, fireman, loves to cook Some Numbers Online Dating is a good place to meet people* 2005: 44% 2015: 59% Online dating is the 2nd most common way to meet people** 66% of online dating users have gone on a date with someone they met online* 50% of couples expected to meet online by 2031** *PEW Research **eHarmony Study Pros & Cons Low pressure, not Behind a screen face to face at start May cost money, Time and cost-effective does take time Big pool of users Big pool of users Customize to your taste 3 Types of Dating Sites All-Purpose Phone App (Swipers) Niche Age Match Tinder Race OKCupid Bumble Religion eHarmony Interests Choosing Your Site(s) Cost Depth of profiles User Base Reputation Match.com Well-known, respectable. Largest paid user base in the U.S. In-depth questionnaire takes about 30 minutes to complete Free to join (email) and browse – must subscribe to communicate Match.Com Match.Com Sends you daily “matches” based on profiles Reverse Matching: Search profiles of people who say they are looking for the things in your profile Date Spark: Propose a date idea and see who responds or respond to a proposed idea OKCupid Well-known, large user base Profile is quick to set-up, with additional questions to answer as you see fit. -
Murphy V. Twitter, Inc
-1 F I LED 2 San FrancIsco County Superior Court JUN 1 2 2019 3 CLERK iO,R ~HE COURT 4 BY: J,\f,!lt(r).'J.W"--- . }t.I\ _ I, Deputy Clerk ·5 6 7 8 9 SUPERIOR COURT OF THE STATE OF CALIFORNIA 10 COUNTY OF SAN FRANCISCO 11 MEGHAN MURPHY, Case No. CGC-19-573712 12 Plaintiff, ORDER DENYING SPECIAL MOTION 13 TO STRIKE THE COMPLAINTi v. UNDER CALIFORNIA CODE OF 14 CIVIL PROCEDURE SECTIONI425.16 TWITTER, INC., a California corporation; AND SUSTAINING DEMURRER TO 15 TWITTER INTERNATIONAL COMPANY COMPLAINT WITHOUT LEAVE TO an Irish registered company, ' AMEND 16 Defendants. 17 18 19 20 21 22 23 24 25 26 27 28 I I Case No. CGG-19-S73712 ORDER 1 On May 7,2019, the Court heard Defendants Twitter, Inc. and Twitter International " I 2 Company's (together, "Twitter") special motion to strike the complaint under California Gode of 3 Civil Procedure section 425.16 and Defendants' demurrer to the complaint The parties a~eared 4 by their respective counsel of record. This "constitutes the Court's orders on both motions! 5 Factual Allegations of the Complaint 6 Twitter is a private internet communications platform that users can join and use f0r free by I " 7 posting content, limited to a certain number of characters, referred to as "Tweets." Plaintifff : 8 Meghan Murphy is a self-described "feminist writer and journalist" who resides in Vancouver, I I 9 British Columbia, Canada. (Compi. ~~ 5, 20,"70.) She joined the Twitter platform in Apq12011, 10 and used it to "disCuss news.~orth~ events and public ~ssues, ~hare ~c~es, podcasts and 1ideos,. -
Systematic Scoping Review on Social Media Monitoring Methods and Interventions Relating to Vaccine Hesitancy
TECHNICAL REPORT Systematic scoping review on social media monitoring methods and interventions relating to vaccine hesitancy www.ecdc.europa.eu ECDC TECHNICAL REPORT Systematic scoping review on social media monitoring methods and interventions relating to vaccine hesitancy This report was commissioned by the European Centre for Disease Prevention and Control (ECDC) and coordinated by Kate Olsson with the support of Judit Takács. The scoping review was performed by researchers from the Vaccine Confidence Project, at the London School of Hygiene & Tropical Medicine (contract number ECD8894). Authors: Emilie Karafillakis, Clarissa Simas, Sam Martin, Sara Dada, Heidi Larson. Acknowledgements ECDC would like to acknowledge contributions to the project from the expert reviewers: Dan Arthus, University College London; Maged N Kamel Boulos, University of the Highlands and Islands, Sandra Alexiu, GP Association Bucharest and Franklin Apfel and Sabrina Cecconi, World Health Communication Associates. ECDC would also like to acknowledge ECDC colleagues who reviewed and contributed to the document: John Kinsman, Andrea Würz and Marybelle Stryk. Suggested citation: European Centre for Disease Prevention and Control. Systematic scoping review on social media monitoring methods and interventions relating to vaccine hesitancy. Stockholm: ECDC; 2020. Stockholm, February 2020 ISBN 978-92-9498-452-4 doi: 10.2900/260624 Catalogue number TQ-04-20-076-EN-N © European Centre for Disease Prevention and Control, 2020 Reproduction is authorised, provided the -
A Longitudinal Study of Facebook, Linkedin, & Twitter
Session: Tweet, Tweet, Tweet! CHI 2012, May 5–10, 2012, Austin, Texas, USA A Longitudinal Study of Facebook, LinkedIn, & Twitter Use Anne Archambault Jonathan Grudin Microsoft Corporation Microsoft Research Redmond, Washington USA Redmond, Washington USA [email protected] [email protected] ABSTRACT messaging, and employee blogging were first used mainly We conducted four annual comprehensive surveys of social by students and consumers to support informal interaction. networking at Microsoft between 2008 and 2011. We are Managers, who focus more on formal communication interested in how these sites are used and whether they are channels, often viewed them as potential distractions [4]. A considered to be useful for organizational communication new communication channel initially disrupts existing and information-gathering. Our study is longitudinal and channels and creates management challenges until usage based on random sampling. Between 2008 and 2011, social conventions and a new collaboration ecosystem emerges. networking went from being a niche activity to being very widely and heavily used. Growth in use and acceptance was Email was not embraced by many large organizations until not uniform, with differences based on gender, age and the late 1990s. Instant messaging was not generally level (individual contributor vs. manager). Behaviors and considered a productivity tool in the early 2000s. Slowly, concerns changed, with some showing signs of leveling off. employees familiar with these technologies found ways to use them to work more effectively. Organizational Author Keywords acceptance was aided by new features that managers Social networking; Facebook; LinkedIn; Twitter; Enterprise appreciated, such as email attachments and integration with calendaring. ACM Classification Keywords Many organizations are now wrestling with social H.5.3 Group and Organization Interfaces networking. -
Irish Data Protection Commission Fines Twitter for Failures in Notifying Data Breach
December 21, 2020 Irish Data Protection Commission Fines Twitter for Failures in Notifying Data Breach DPC Finds Twitter’s Irish Subsidiary Had Constructive Knowledge of a Personal Data Breach Through its Processor, and Thus Failed to Notify in a Timely Manner and to Adequately Document the Breach. SUMMARY With many technology firms choosing Dublin as their European base, the Irish Data Protection Commission (the “DPC”) acts as one of the leading data regulators of big tech in Europe. In its first major decision concerning Twitter International Company (“Twitter Ireland”) (an Irish incorporated subsidiary of Twitter Inc., incorporated in the United States), the DPC fined Twitter Ireland $500,000.00 for failing to notify the DPC in a timely manner of a breach concerning users’ personal data and failing to keep appropriate records of the breach. Whilst the fine falls well short of the maximum fine permitted under the European General Data Protection Regulation (“GDPR”) (which provides for fines of up to 4% of annual worldwide revenue), the DPC has clarified important points of principle under GDPR. In particular, the decision provides guidance on the nature of the controller-processor relationship, clarifying that a controller cannot hide behind its processor’s late notification of a breach if the controller should have known of the breach earlier had the protocols and processes that ought to be in place in the context of a controller-processor relationship been properly followed. The DPC also made clear that the time period by which the relevant supervisory authorities must be informed of a personal data breach will be strictly enforced, as will the requirements that the controller is under to keep appropriate records of the breach. -
Social Media Usage and Cultural Dimensions: an Empirical Investigation
Proceedings of the 50th Hawaii International Conference on System Sciences | 2017 Social Media Usage and Cultural Dimensions: An Empirical Investigation Majid Dadgar Joseph Vithayathil John Kalu Osiri University of San Francisco Washington State University University of Nebraska-Lincoln [email protected] [email protected] [email protected] Abstract information technology and organizational studies can benefit each other by exchanging and analyzing the Cultural attributes of employees affect organizations in socio-material properties of their subject matter. The several different ways through their impact on organizational social media literature has focused organizational goals and decision-making processes. mainly on disciplinary or domain-based research. Such Social media create ample opportunities for focus may have hindered possibilities of investigating organizations to improve competitiveness and efficiency such important interdisciplinary questions [27]. of marketing and communications. We empirically Social media create a variety of new opportunities investigate the impact of employee cultural dimensions for organizations which are not managed well to on social media usage at work and at home. Such a study improve [21]. Organizations can use social media to stay has not been undertaken before to the best of our competitive and improve the efficiency of marketing knowledge and this would be the first study to connect and communications [1,2,3,10,17,18,25,29]. Employees cultural dimension characteristics of individuals with use different types of social media platforms in their social media usage. Specifically, we investigate the professional and personal lives, and their use of social effect of Power Distance (PD), Uncertainty Avoidance media can have an impact on various organizational (UA), and Individualism-Collectivism (IC) on the use of goals and strategies [20]. -
Self-Presentation and Perception of Others on the Dating App Tinder
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2018 App-ily Ever After - Self-Presentation and Perception of Others on the Dating App Tinder Johnathan Dunlop Part of the Social Media Commons, and the Sociology Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Masters Thesis (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Dunlop, Johnathan, "App-ily Ever After - Self-Presentation and Perception of Others on the Dating App Tinder" (2018). Electronic Theses and Dissertations, 2004-2019. 6185. https://stars.library.ucf.edu/etd/6185 APP-ILY EVER AFTER – SELF PRESENTATION AND PERCEPTION OF OTHERS ON THE DATING APP TINDER by JOHN DUNLOP B.S. University of South Alabama, 2011 B.A. University of South Alabama, 2011 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Arts in the Department of Sociology in the College of Sciences at the University of Central Florida Orlando, Florida Fall Term 2018 Major Professor: Ramon Hinojosa © 2018 John Dunlop ii ABSTRACT Location-based real-time dating (LBRTD) apps have become an increasingly common way for people to broaden their social network and meet others for the purposes of dating, friendship, and more. This investigation focused on Tinder, presently the most widely-used LBRTD app. Semi-structured interviews were conducted with twenty-three current and recent Tinder users to gain insight into their self-presentation strategies and impressions of others on the app. -
Australian Employer Perceptions of Unprofessional Social Media Behaviour and Its Impact on Graduate Employability
The Journal of Teaching and Learning for Graduate Employability ISSN: 1838-3815 (online) Journal Homepage https://ojs.deakin.edu.au/index.php/jtlge/ Australian employer perceptions of unprofessional social media behaviour and its impact on graduate employability Karen Sutherland1, Karen Freberg2 and Christina Driver1 Corresponding author: Karen Sutherland ([email protected]) 1University of the Sunshine Coast, Queensland, Australia 2University of Louisville, Kentucky, USA Abstract Social media has become a tool used for the process of employee recruitment in a range of Keywords industries. The technology is utilised by job candidates and by employers and job-recruiters social media, to screen and source suitable staff for their organisations. Research has investigated issues job-recruitment, relating to ethics, privacy and accuracy regarding employers’ use of social media to screen employability, prospective employees. Yet, limited research has been conducted to investigate employer professional perceptions of prospective/current employees’ unprofessional social media behavior. Our behaviour, study involved a survey of 396 Australian employers from a range of industries to explore the employment, influence of job-candidates’ social media presence on employer decision-making and the personal most unprofessional social media behaviors according to employers. Our investigation found branding 82% of employers are influenced by a job candidate’s social media presence and using social media to intentionally cause harm to others was perceived by employers as the most unprofessional social media behavior. The findings from this study will assist educators in guiding university students and graduates to meet industry expectations as professionals and provide scholars with new knowledge as to what is deemed to be unacceptable behavior in a professional context at this point in the evolution of social media. -
Avatara: OLAP for Web-Scale Analytics Products
Avatara: OLAP for Web-scale Analytics Products Lili Wu Roshan Sumbaly Chris Riccomini Gordon Koo Hyung Jin Kim Jay Kreps Sam Shah LinkedIn {lwu,rsumbaly,criccomini,gkoo,ekim,jkreps,samshah}@linkedin.com ABSTRACT queries. This means expensive operations like joins can be precom- Multidimensional data generated by members on websites has seen puted. Additionally, queries span relatively few—usually tens to massive growth in recent years. OLAP is a well-suited solution for at most a hundred—dimensions. These queries, and consequently, mining and analyzing this data. Providing insights derived from the cubes, can be sharded across a primary dimension. For WVMP, this analysis has become crucial for these websites to give members we can shard the cube by member id, as the product does not allow greater value. For example, LinkedIn, the largest professional social analyzing profile views of anyone other than the member currently network, provides its professional members rich analytics features logged in. Similarly, for WVTJ, the cube can be sharded by the job like “Who’s Viewed My Profile?” and “Who’s Viewed This Job?” itself because queries do not span across jobs. Each shard contains The data behind these features form cubes that must be efficiently a relatively small amount of data (a few megabytes, up to tens of served at scale, and can be neatly sharded to do so. To serve our megabytes), though there are many shards (160 million, one for growing 160 million member base, we built a scalable and fast each LinkedIn member, for WVMP). We call this class of OLAP OLAP serving system called Avatara to solve this many, small cubes the many, small cubes scenario.