Identification and Constitutive Rhetoric in the Community of Reddit Bradley Stephen Ludwig Purdue University
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Setting the Record Straighter on Shadow Banning
Setting the Record Straighter on Shadow Banning Erwan Le Merrer, Benoˆıt Morgan, Gilles Tredan,´ Univ Rennes, Inria, CNRS, Irisa IRIT/ENSHEEIT LAAS/CNRS [email protected] [email protected] [email protected] Abstract—Shadow banning consists for an online social net- happens on the OSN side, collecting information about po- work in limiting the visibility of some of its users, without them tential issues is difficult. In this paper, we explore scientific being aware of it. Twitter declares that it does not use such approaches to shed light on Twitter’s alleged shadow banning a practice, sometimes arguing about the occurrence of “bugs” to justify restrictions on some users. This paper is the first to practice. Focusing on this OSN is crucial because of its central address the plausibility of shadow banning on a major online use as a public communication medium, and because potential platform, by adopting both a statistical and a graph topological shadow banning practices were recently commented. approach. Shadow banning and moderation techniques. shadow banning We first conduct an extensive data collection and analysis (SB or banning for short, also known as stealth banning [6]) campaign, gathering occurrences of visibility limitations on user profiles (we crawl more than 2:5 millions of them). In such is an online moderation technique used to ostracise undesired a black-box observation setup, we highlight the salient user user behaviors. In modern OSNs, shadow banning would refer profile features that may explain a banning practice (using to a wide range of techniques that artificially limit the visibility machine learning predictors). -
Debbie Travis Gary Vaynerchuk Alexis Ohanian Eric Ryan
TORONTO | OCTOBER 7, 2014 | 8:30AM - 5:00PM ALEXIS OHANIAN GARY VAYNERCHUK DEBBIE TRAVIS ERIC RYAN CHRIS GUILLEBEAU "We don't even realize something is broken until someone else shows us a better way.” - Alexis Ohanian, Co-Founder of reddit OCTOBER 7, 2014 | 8:30AM - 5:00PM Metro ToroNto CONVENTION CENTRE North Building - John Bassett Theatre 255 Front Street West, Toronto, ON M5V 2W6 ABOUT THE ART OF ENTREPRENEURSHIP www.mtccc.com WHAT TO EXPECT WHY ATTEND This one day conference features a collection of internationally renowned bestselling The Art of Entrepreneurship is designed specifically for entrepreneurs and business leaders authors, thought leaders and entrepreneurs, who will share an exciting blend of cutting who want to achieve significant growth within their organization. This conference brings edge thinking and real world experience on today’s most critical business issues. You’ll together a dynamic collection of the most sought after speakers of our time. You will have countless opportunities to meet, network and learn with some of the brightest discover bold ideas, fresh thought processes, and proven strategies that you can put into entrepreneurial minds that are all focused on business growth. action immediately. Don’t miss out on your chance to gain a competitive advantage and network with over 1,300 of Canada’s most influential entrepreneurs. 8:00 AM 8:30 AM 8:45 AM 9:40AM 10:30 AM 11:00 AM 12:00 PM 1:30 PM 2:30 PM 3:30 PM 4:00 PM Opening Remarks Chris Guillebeau Debbie Travis Entrepreneur Panel Networking Break Doors Open Eric Ryan Networking Break Lunch Alexis Ohanian Gary Vaynerchuk WHAT YOU WILL LEARN Alexis Ohanian Gary Vaynerchuk Make the World Suck Less (And Still Make a Profit) Jab, Jab, Jab, Right Hook: How to Tell Your Story in a Noisy World • Lessons he's learned from co-founding reddit, and building • Hard-won advice on how to connect with customers and beat the community on breadpig and the travel search site hipmunk. -
Big Data for Improved Health Outcomes — Second Edition — Arjun Panesar Machine Learning and AI for Healthcare Big Data for Improved Health Outcomes Second Edition
Machine Learning and AI for Healthcare Big Data for Improved Health Outcomes — Second Edition — Arjun Panesar Machine Learning and AI for Healthcare Big Data for Improved Health Outcomes Second Edition Arjun Panesar Machine Learning and AI for Healthcare Arjun Panesar Coventry, UK ISBN-13 (pbk): 978-1-4842-6536-9 ISBN-13 (electronic): 978-1-4842-6537-6 https://doi.org/10.1007/978-1-4842-6537-6 Copyright © 2021 by Arjun Panesar This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. -
Analyzing Twitter Users' Behavior Before and After Contact By
Analyzing Twitter Users’ Behavior Before and After Contact by Russia’s Internet Research Agency UPASANA DUTTA, RHETT HANSCOM, JASON SHUO ZHANG, RICHARD HAN, TAMARA 90 LEHMAN, QIN LV, SHIVAKANT MISHRA, University of Colorado Boulder, USA Social media platforms have been exploited to conduct election interference in recent years. In particular, the Russian-backed Internet Research Agency (IRA) has been identified as a key source of misinformation spread on Twitter prior to the 2016 U.S. presidential election. The goal of this research is to understand whether general Twitter users changed their behavior in the year following first contact from an IRA account. We compare the before and after behavior of contacted users to determine whether there were differences in their mean tweet count, the sentiment of their tweets, and the frequency and sentiment of tweets mentioning @realDonaldTrump or @HillaryClinton. Our results indicate that users overall exhibited statistically significant changes in behavior across most of these metrics, and that those users that engaged with the IRA generally showed greater changes in behavior. CCS Concepts: • Applied computing ! Law, social and behavioral sciences; • Human-centered com- puting ! Collaborative and social computing. Additional Key Words and Phrases: Internet Research Agency; IRA; Twitter; Trump; democracy ACM Reference Format: Upasana Dutta, Rhett Hanscom, Jason Shuo Zhang, Richard Han, Tamara Lehman, Qin Lv, Shivakant Mishra. 2021. Analyzing Twitter Users’ Behavior Before and After Contact by Russia’s Internet Research Agency. Proc. ACM Hum.-Comput. Interact. 5, CSCW1, Article 90 (April 2021), 24 pages. https://doi.org/10.1145/3449164 INTRODUCTION For many years, the growth of online social media has been seen as a tool used to bring people together across borders and time-zones. -
Generating Counter Narratives Against Online Hate Speech: Data and Strategies
Generating Counter Narratives against Online Hate Speech: Data and Strategies Serra Sinem Tekiroglu˘ 1, Yi-Ling Chung1,2, and Marco Guerini1 1Fondazione Bruno Kessler, Via Sommarive 18, Povo, Trento, Italy [email protected],[email protected],[email protected] 2University of Trento, Italy Abstract the conversations (Bielefeldt et al., 2011; Jurgens et al., 2019). In this line of action, some Non- Recently research has started focusing on avoiding undesired effects that come with Govermental Organizations (NGOs) train operators content moderation, such as censorship and to intervene in online hateful conversations by writ- overblocking, when dealing with hatred on- ing counter-narratives. A Counter-Narrative (CN) line. The core idea is to directly intervene in is a non-aggressive response that offers feedback the discussion with textual responses that are through fact-bound arguments and is considered as meant to counter the hate content and prevent the most effective approach to withstand hate mes- it from further spreading. Accordingly, au- sages (Benesch, 2014; Schieb and Preuss, 2016). tomation strategies, such as natural language generation, are beginning to be investigated. To be effective, a CN should follow guidelines simi- 1 Still, they suffer from the lack of sufficient lar to those in ‘Get the Trolls Out’ project , in order amount of quality data and tend to produce to avoid escalating the hatred in the discussion. generic/repetitive responses. Being aware of Still, manual intervention against hate speech the aforementioned limitations, we present a is not scalable. Therefore, data-driven NLG ap- study on how to collect responses to hate ef- proaches are beginning to be investigated to assist fectively, employing large scale unsupervised language models such as GPT-2 for the gen- NGO operators in writing CNs. -
An Exploration of the Formation and Empowerment of Opinion Leaders in a Reddit Gaming Community
WHO IS REALLY IN CHARGE HERE: AN EXPLORATION OF THE FORMATION AND EMPOWERMENT OF OPINION LEADERS IN A REDDIT GAMING COMMUNITY Clinton Chase Carter Thesis Prepared for the Degree of MASTER OF ARTS UNIVERSITY OF NORTH TEXAS December 2017 APPROVED: Meredith Clark, Committee Chair Tracy Everbach, Committee Member Gwen Nisbett, Committee Member Dorothy Bland, Director of the Frank W. Mayborn Graduate Institute of Journalism and Dean of the Frank W. and Sue Mayborn School of Journalism Victor Prybutok, Dean of the Toulouse Graduate School Carter, Clinton Chase. Who is Really in Charge Here: An Exploration of the Formation and Empowerment of Opinion Leaders in a Reddit Gaming Community. Master of Arts (Journalism), December 2017, 84 pp., 1 figure, references, 132 titles. In an attempt to shed light on the further sophistication of opinion leadership in online communities, this study examined the forces and structures that affect their formation in the League of Legends subreddit. By investigating what users thought about the various types of individuals with which the communicate, the researcher hoped to begin to understand and record how those forces work bother on this particular subreddit and in mass media beyond. Opinion leadership continues to be an integral force in deciding what information is consumed by a public and under what frames and agendas it is contextualized. If researchers can operationalize formal definitions for the influences and structures that occur online, they can better navigate the deep waters that are global communication on the internet. Copyright 2017 By Clinton Chase Carter ii TABLE OF CONTENTS Page INTRODUCTION .......................................................................................................................... 1 Reddit as a Site for Communication Research .................................................................. -
The Community Industry: an Analysis of Reddit and /R/Socialism
THE COMMUNITY INDUSTRY: AN ANALYSIS OF REDDIT AND /R/SOCIALISM Richard Babb A Dissertation Submitted to the Graduate College of Bowling Green State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY May 2021 Committee: Radhika Gajjala, Advisor Samuel T McAbee, Graduate Faculty Representative Lara Lengel Yanqin Lu © 2021 Richard Babb All Rights Reserved iii ABSTRACT Radhika Gajjala, Advisor Social media is an increasingly important space for community formation and interactions. Coinciding with the rise of social media has been an increasing interest in leftist ideologies once outside the mainstream. This analysis seeks to understand the social media site Reddit.com’s enabling and constraining features on the community /r/socialism. Using the communicative theory of identity and Marxist media theory not only to look at Reddit and /r/socialism’s relationship, but five key functions of a media: capital-economic, media sales and media market function, commodity circulation, domination, and the audience. Employing a mixed-methods approach enabled various data to be analyzed and relationally understood. Qualitative content analysis was used to examine user’s salient topics and their uses for the community. Survey methods were deployed to the community to gather demographic data on the /r/socialism community and user opinions on the group’s relationship with Reddit. Finally, secondary documents were analyzed to provide greater context to the other findings. Findings from the content analysis of salient subjects showed a preference for contemporary capitalist critique, socialist quotations, and class issues. However, topics impacting women and other minority groups were light to nonexistent. -
SERENA WILLIAMS Vs. VENUS WILLIAMS
Updated 8/12/20 SERENA WILLIAMS vs. VENUS WILLIAMS OVERALL: Serena leads 18-12 Hard: Serena leads 12-9 • Grass: Serena leads 4-2 • Clay: Serena leads 2-1 Grand Slams: Serena leads, 11-5 • Title Matches: Serena leads, 9-3 Year Tournament Name Surface Round Winner Scores 1998 AUSTRALIAN OPEN HARD R64 VENUS 7-6(4) 6-1 1998 ROME CLAY QF VENUS 6-4 6-2 1999 MIAMI HARD F VENUS 6-1 4-6 6-4 1999 MUNICH - GRAND SLAM CUP HARD F SERENA 6-1 3-6 6-3 2000 WIMBLEDON GRASS SF VENUS 6-2 7-6(3) 2001 INDIAN WELLS HARD SF SERENA W/O 2001 US OPEN HARD F VENUS 6-2 6-4 2002 MIAMI HARD SF SERENA 6-2 6-2 2002 FRENCH OPEN CLAY F SERENA 7-5 6-3 2002 WIMBLEDON GRASS F SERENA 7-6(4) 6-3 2002 US OPEN HARD F SERENA 6-4 6-3 2003 AUSTRALIAN OPEN HARD F SERENA 7-6(4) 3-6 6-4 2003 WIMBLEDON GRASS F SERENA 4-6 6-4 6-2 2005 MIAMI HARD QF VENUS 6-1 7-6(8) 2005 US OPEN HARD R16 VENUS 7-6(5) 6-2 2008 BANGALORE HARD SF SERENA 6-3 3-6 7-6(4) 2008 WIMBLEDON GRASS F VENUS 7-5 6-4 2008 US OPEN HARD QF SERENA 7-6(6) 7-6(7) 2008 WTA FINALS HARD R1 VENUS 5-7 6-1 6-0 2009 DUBAI HARD SF VENUS 6-1 2-6 7-6(3) 2009 MIAMI HARD SF SERENA 6-4 3-6 6-3 2009 WIMBLEDON GRASS F SERENA 7-6(3) 6-2 2009 WTA FINALS HARD RR SERENA 5-7 6-4 7-6(4) 2009 WTA FINALS HARD F SERENA 6-2 7-6(4) 2013 CHARLESTON CLAY SF SERENA 6-1 6-2 2014 MONTRÉAL HARD SF VENUS 6-7(2) 6-2 6-3 2015 WIMBLEDON GRASS R16 SERENA 6-4 6-3 2015 US OPEN HARD QF SERENA 6-2 1-6 6-3 2017 AUSTRALIAN OPEN HARD F SERENA 6-4 6-4 2018 INDIAN WELLS HARD R32 VENUS 6-3 6-4 2018 US OPEN HARD R32 SERENA 6-1 6-2 2019 ROME CLAY R32 VENUS W/O TENNIS RIVALRIES -
Countering Terrorism Online with Artificial Intelligence an Overview for Law Enforcement and Counter-Terrorism Agencies in South Asia and South-East Asia
COUNTERING TERRORISM ONLINE WITH ARTIFICIAL INTELLIGENCE AN OVERVIEW FOR LAW ENFORCEMENT AND COUNTER-TERRORISM AGENCIES IN SOUTH ASIA AND SOUTH-EAST ASIA COUNTERING TERRORISM ONLINE WITH ARTIFICIAL INTELLIGENCE An Overview for Law Enforcement and Counter-Terrorism Agencies in South Asia and South-East Asia A Joint Report by UNICRI and UNCCT 3 Disclaimer The opinions, findings, conclusions and recommendations expressed herein do not necessarily reflect the views of the Unit- ed Nations, the Government of Japan or any other national, regional or global entities involved. Moreover, reference to any specific tool or application in this report should not be considered an endorsement by UNOCT-UNCCT, UNICRI or by the United Nations itself. The designation employed and material presented in this publication does not imply the expression of any opinion whatsoev- er on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area of its authorities, or concerning the delimitation of its frontiers or boundaries. Contents of this publication may be quoted or reproduced, provided that the source of information is acknowledged. The au- thors would like to receive a copy of the document in which this publication is used or quoted. Acknowledgements This report is the product of a joint research initiative on counter-terrorism in the age of artificial intelligence of the Cyber Security and New Technologies Unit of the United Nations Counter-Terrorism Centre (UNCCT) in the United Nations Office of Counter-Terrorism (UNOCT) and the United Nations Interregional Crime and Justice Research Institute (UNICRI) through its Centre for Artificial Intelligence and Robotics. -
Congressional Record—Senate S4658
S4658 CONGRESSIONAL RECORD — SENATE August 3, 2020 The PRESIDING OFFICER. Without companies censor political viewpoints employ disturbing and familiar im- objection, it is so ordered. that they find objectionable. That was agery. COMMUNICATIONS DECENCY ACT 2 years ago. It has only worsened in the According to the ESPN investiga- Mr. WICKER. Madam President, for 2 years since then. tion, one former league employee com- almost 25 years, the internet has grown These concerns come at a time when pared the atmosphere at the Xinjiang and thrived under the light-touch regu- tech companies wield unprecedented camp to ‘‘World War II Germany.’’ latory framework established by the power within our economy and our cul- An American coach, who worked at a Communications Decency Act. I hope ture at large, and no one can deny that. similar facility, described it as a we can continue that. I think some A bipartisan chorus of committee ‘‘sweat camp for athletes.’’ changes need to be made. members from the other body pointed Now, according to the investigation, Passed in 1996, the law that the Com- this out just last week. More and more almost immediately after the NBA munications Decency Act is a part of of our daily business is taking place launched this program back in 2016, helped create the internet. Section 230 online, and that trend is only accel- multiple coaches who were staffing the of that law gives broad liability protec- erating during the current pandemic. camps reported to high-ranking organi- tions to interactive computer services, As we near the 2020 election, Ameri- zation officials that they had witnessed such as Facebook, Twitter, and other cans have serious concerns about Chinese coaches beating and berating social media platforms. -
Internetsownboy Transcri
[Music] >>A cofounder of the social, news and entertainment website Reddit has been found dead. >>He certainly was a prodigy, although he never kind of thought of himself like that. >>He was totally unexcited about starting businesses and making money. >>There's a profound sense of loss tonight in Highland Park, Aaron Swartz's hometown, as loved ones say goodbye to one of the Internet's brightest lights. >>Freedom, open access, and computer activists are mourning his loss. >>An astonishing intellect, if you talk to people who knew him. >>He was killed by the government, and MIT betrayed all of its basic principles. >>They wanted to make an example out of him, okay? >>Governments have an insatiable desire to control. >>He was potentially facing 35 years in prison and a one million dollar fine. >>Raising questions of prosecutorial zeal, and I would say even misconduct. Have you looked into that particular matter and reached any conclusions? >>Growing up, you know, I slowly had this process of realizing that all the things around me that people had told me were just the natural way things were, the way things always would be. They weren't natural at all, they were things that could be changed and they were things that, more importantly were wrong and should change. And once I realized that, there was really kind of no going back. >>Welcome to story reading time. The name of the book is "Paddington at the Fair". >>Well, he was born in Highland Park and grew up here. Aaron came from a family of three brothers, all extraordinarily bright. -
Should You Take Investment Advice from Wallstreetbets?
Should You Take Investment Advice From WallStreetBets? Should You Take Investment Advice From WallStreetBets? A DataDriven Approach May 2021 Tolga Buz Gerard de Melo Hasso Plattner Institute, Potsdam Hasso Plattner Institute, Potsdam [email protected] [email protected] Abstract Reddit’s WallStreetBets (WSB) community has come to prominence in light of its notable role in affecting the stock prices of what are now referred to as meme stocks. Yet very little is known about the reliability of the highly speculative investment advice disseminated on WSB. This paper analyses WSB data spanning from January 2019 to April 2021 in order to assess how successful an investment strategy relying on the community’s recommenda tions could have been. We detect buy and sell advice and identify the community’s most popular stocks, based on which we define a WSB portfolio. Our evaluation shows that this portfolio has grown approx. 200% over the last three years and approx. 480% over the last year, significantly outperforming the S&P500. The average shortterm accuracy of buy and sell signals, in contrast, is not found to be significantly better than randomly or equally distributed buy decisions within the same time frame. However, we present a tech nique for estimating whether posts are proactive as opposed to reactive and show that by focusing on a subset of more promising buy signals, a trader could have made investments yielding higher returns than the broader market or the strategy of trusting all posted buy signals. Lastly, the analysis is also conducted specifically for the period before 2021 in or der to factor out the effects of the GameStop hype of January 2021 – the results confirm the conclusions and suggest that the 2021 hype merely amplified preexisting characteristics.