Curating the Future : the Sustainability Practices of Online Hate Groups
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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). -
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. -
Ways to Become a Digital Nomad
23 WAYS TO BECOME A DIGITAL NOMAD We give ideas, so you can’t give excuses…. NATHAN BUCHAN & HANNAH MARTIN (WORLD NATE & INTREPID INTROVERT) DESIGN & SELL CLOTHING 1 WITH TEESPRING Info: Design and create your own tees, hoodies, mugs, & more with $0 investment! All you need to do is design your logo or upload an existing logo you have already created. Place it on a product of your choice (such as a long sleeve shirt). Choose the type of material you wish to use. Then name the price you wish to sell it for. TeeSpring will tell you the cost of each item made. You will reap the profit from each item you sell. Here’s the cool thing: It doesn’t cost you anything. TeeSpring won’t make your shirt until AFTER someone has purchased; therefore no risk of investment is made. The company will then make and ship each order out for you. You do nothing but advertise your products and reap the rewards of your sales. Income Potential: Scalable with marketing.. You can run Facebook campaigns from within TeeSpring. We have tutorials on this in our Behind Closed Doors Membership here SELL ON EBAY: BUY 2 ON AMAZON Info: Source a product on Amazon and list the same item on E-bay with a markup. Then once it’s sold on E-Bay, buy that same product on Amazon and send it directly to your customer. * Just make sure there is a decent amount of stock and not just one or two left. Begin by researching which products are trending and how much competition you have with selling it on E-bay. -
The Internet of Garbage
1 The Internet of Garbage © 2015, 2018 by Sarah Jeong Cover and Illustrations by William Joel for The Verge, © 2018 Vox Media, Inc. All rights reserved. The Verge Edition 1.5 August 2018 Published by Vox Media, Inc. www.theverge.com ISBN: 978-0-692-18121-8 2 Table of Contents Preface ............................................... 4 Chapter One: The Internet Is Garbage .................. 6 A Theory of Garbage .......................................... 8 Spam as Garbage .............................................. 9 Chapter Two: On Harassment ........................... 12 Harassment in the News ...................................... 13 About That Media Narrative . ............................ 18 Is Harassment Gendered? ..................................... 20 Intersections of Harassment ................................. 21 On Doxing ................................................... 24 SWATting .................................................... 27 Doxing Women ................................................ 28 Concluding Thoughts on Doxing ............................... 30 A Taxonomy of Harassment .................................... 32 On Modern-Day Social Media Content Moderation ............... 35 What Happens Before: Setting Norms .......................... 38 Chapter Three: Lessons from Copyright Law ............ 40 The Intersection of Copyright and Harassment ................ 41 How the DMCA Taught Us All the Wrong Lessons ................ 44 Turning Hate Crimes into Copyright Crimes ................... 47 Chapter Four: A -
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. -
Spreadshirt: My Newest Passive Income Stream and How You Can Earn Too
Episode 7: Spreadshirt: My Newest Passive Income Stream and How You Can Earn Too Subscribe to the podcast here. Hey what’s up everybody! Welcome to numero siete of my podcast, number 7. I’m kind of pumped about this podcast because I hope it’s going to give some of you another way or possible way to monetize your website. I just got my first check from SpreadShirt and it was 530 bucks and 20 cents, to be exact. And you can go to 2createawebsite.com/podcast7 to see a screenshot of the earnings. I do that to show proof. I don’t do that to brag. I know there’s a lot of sites out here that talk about making money and they never show that they are. So I do that from time to time for that very reason but not to show off. Oh and while you’re there, you gotta check out my new site design. Yaaaay! My site got a little facelift about a week ago so you gotta check it out. SpreadShirt is a print on demand affiliate program where you simply upload an image, and then you can put that image on a shirt, a button, a hat or whatever. Then you mark up the price to whatever you want to sell it for, and your markup is your commission. So if the base price of the shirt is $10 and you sell it for $20, then you get $10 for every shirt sold. It’s completely free. Now there are premium options and I’m going to talk about this later in the podcast, but it doesn’t cost you anything. -
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. -
What I Learned on the Way to $2,293.35 in 7 Days with My First Teespring Campaign
What I Learned On The Way To $2,293.35 In 7 Days With My First Teespring Campaign WHAT I LEARNED ON THE WAY TO $2,,293..35 IN 7 DAYS WITH MY FIRST TEESPRING CAMPAIGN $3,294.04 Earned - $1,000.69 Spent = $2,293.35 Profit in 1 Week! Page 1 of 14 Copyright 2013 © Niche Gold Mining Company LLC What I Learned On The Way To $2,293.35 In 7 Days With My First Teespring Campaign All rights reserved. No part of this book may be reproduced in any form or by any electronic or mechanical means, including information storage and retrieval systems, without written permission from the author, except in the case of a reviewer, who may quote brief passages embodied in critical articles or in a review. Trademarked names appear throughout this book. Rather than use a trademark symbol with every occurrence of a trademarked name, names are used in an editorial fashion, with no intention of infringement of the respective owner’s trademark. The information in this book is distributed on an “as is” basis, without warranty. Although every precaution has been taken in the preparation of this work, neither the author nor the publisher shall have any liability to any person or entity with respect to any loss or damage caused or alleged to be caused directly or indirectly by the information contained in this book. Note: You will not receive videos as separate downloads. All videos may be watched or downloaded via links at the end of this book. CONTENTS What I Learned On The Way To $2,,293.35 In 7 Days With My First Teespring Campaign ............................................... -
Web Serial Toolbox
Web Serial Toolbox Why & How To Serialize Your Fiction Online (for almost no money) by Cecilia Tan ctan.writer @ gmail.com Twitter @ceciliatan #serialtoolbox What is a web serial? What is a web serial? Serialized storytelling is already the norm in ● What is a web serial? Serialized storytelling is already the norm in ● comic books What is a web serial? Serialized storytelling is already the norm in ● comic books ● television series What is a web serial? Serialized storytelling is already the norm in ● comic books ● television series ● web comics Charles Dickens (The Pickwick Papers) and Alexandre Dumas (Three Musketeers) used the emergent mass media of their era (broadsheet printing & early newspapers) to serialize to mass audiences. Now we have the Internet. What is a web serial? ● Text fiction telling a continuing story that is posted online What is a web serial? ● Text fiction telling a continuing story that is posted online – may or may not have a set length/ending ● closed serials are like a novel but split up ● open serials are like a soap opera What is a web serial? ● Text fiction telling a continuing story that is posted online – may or may not have a set length/ending ● closed serials are like a novel but split up ● open serials are like a soap opera – may or may not be posted free to read ● most are free to read on the web ● some are to subscribers only, or are “freemium” going first to subscribers and then free to read for all later Why write a web serial? Why write a web serial? Find readers as addicted to reading as you are to writing. -
Reddit Quarantined: Can Changing Platform Affordances Reduce Hateful Material Online?
Volume 9 | Issue 4 Reddit quarantined: can changing platform affordances reduce hateful material online? Simon Copland Australian National University [email protected] DOI: https://doi.org/10.14763/2020.4.1516 Published: 21 October 2020 Received: 20 May 2020 Accepted: 6 August 2020 Competing Interests: The author has declared that no competing interests exist that have influenced the text. Licence: This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 License (Germany) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/3.0/de/deed.en Copyright remains with the author(s). Citation: Copland, S. (2020). Reddit quarantined: can changing platform affordances reduce hateful material online?. Internet Policy Review, 9(4). DOI: 10.14763/ 2020.4.1516 Keywords: Reddit, Affordances, Misogyny, Manosphere, Digital platforms, Online platforms Abstract: This paper studies the efficacy of the Reddit’s quarantine, increasingly implemented in the platform as a means of restricting and reducing misogynistic and other hateful material. Using the case studies of r/TheRedPill and r/Braincels, the paper argues the quarantine successfully cordoned off affected subreddits and associated hateful material from the rest of the platform. It did not, however, reduce the levels of hateful material within the affected spaces. Instead many users reacted by leaving Reddit for less regulated spaces, with Reddit making this hateful material someone else’s problem. The paper argues therefore that the success of the quarantine as a policy response is mixed. 2 Internet Policy Review 9(4) | 2020 This paper is part of Trust in the system, a special issue of Internet Policy Review guest- edited by Péter Mezei and Andreea Verteş-Olteanu. -
Le Site Américain Reddit Comme Espace De Variation De L'anglais
lol thats how reddit talks;) : le site américain Reddit comme espace de variation de l’anglais : étude de corpus intersectionnelle et quantitative d’usages non standard, au prisme du genre, de l’âge et de l’ethnicité Marie Flesch To cite this version: Marie Flesch. lol thats how reddit talks;) : le site américain Reddit comme espace de variation de l’anglais : étude de corpus intersectionnelle et quantitative d’usages non standard, au prisme du genre, de l’âge et de l’ethnicité. Linguistique. Université de Lorraine, 2020. Français. NNT : 2020LORR0192. tel-03129082 HAL Id: tel-03129082 https://hal.univ-lorraine.fr/tel-03129082 Submitted on 2 Feb 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. AVERTISSEMENT Ce document est le fruit d'un long travail approuvé par le jury de soutenance et mis à disposition de l'ensemble de la communauté universitaire élargie. Il est soumis à la propriété intellectuelle de l'auteur. Ceci implique une obligation de citation et de référencement lors de l’utilisation de ce document. D'autre part, toute contrefaçon, plagiat, reproduction illicite encourt une poursuite pénale. Contact : [email protected] LIENS Code de la Propriété Intellectuelle.