Distributed Moderation Systems - an Exploration of Their Utility and the Social Implications of Their Widespread Adoption
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
THE TRUTH CAN CATCH the LIE: the FLAWED UNDERSTANDING of ONLINE SPEECH in INRE Anonymous ONLINE SPEAKERS Musetta Durkeet
THE TRUTH CAN CATCH THE LIE: THE FLAWED UNDERSTANDING OF ONLINE SPEECH IN INRE ANoNYMous ONLINE SPEAKERS Musetta Durkeet In the early years of the Internet, many cases seeking disclosure of anonymous online speakers involved large companies seeking to unveil identities of anonymous posters criticizing the companies on online financial message boards.' In such situations, Internet service providers (ISPs)-or, less often, online service providers (OSPs)2-- disclosed individually- identifying information, often without providing defendants notice of this disclosure,' and judges showed hostility towards defendants' motions to quash.4 Often these subpoenas were issued by parties alleging various civil causes of action, including defamation and tortious interference with business contracts.s These cases occurred in a time when courts and the general public alike pictured the Internet as a wild west-like "frontier society,"' devoid of governing norms, where anonymous personalities ran C 2011 Musetta Durkee. t J.D. Candidate, 2012, University of California, Berkeley School of Law. 1. Lyrissa Barnett Lidsky, Anonymity in Cyberspace: What Can We LearnfromJohn Doe?, 50 B.C. L. REv. 1373, 1373-74 (2009). 2. As will be discussed below, there has been some conflation of two separate services that allow users to access the Internet, on the one hand, and engage in various activities, speech, and communication, on the other. Most basically, this Note distinguishes between Internet Service Providers (JSPs) and Online Service Providers (OSPs) in order to separate those services and companies involved with providing subscribers access to the infrastructure of the Internet (ISPs, and their subscribers) and those services and companies involved with providing users with online applications, services, platforms, and spaces on the Internet (OSPs and their users). -
Social Media Why You Should Care What Is Social Media? Social Network
Social Media Why You Should Care IST 331 - Olivier Georgeon, Frank Ritter 31 oct 15 • eMarketer (2007) estimated by 2011 one-half Examples of all Internet users will use social networking • Facebook regulary. • YouTube • By 2015, 75% use • Myspace • Twitter • Del.icio.us • Digg • Etc… 2 What is Social Media? Social Network • Social Network • Online communities of people who share • User Generated Content (UGC) interests and activities, • Social Bookmarking • … or who are interested in exploring the interests and activities of others. • Examples: Facebook, MySpace, LinkedIn, Orkut • Falls to analysis with tools in Ch. 9 3 4 User Generated Content (UGC) Social Bookmarking • A method for Internet users to store, organize, search, • or Consumer Generated Media (CGM) and manage bookmarks of web pages on the Internet with the help of metadata. • Based on communities; • Defined: Media content that is publicly – The more people who bookmark a piece of content, the more available and produced by end-users (user). value it is determined to have. • Examples: Digg, Del.icio.us, StumbleUpon, and reddit….and now combinations • Usually supported by a social network • Examples: Blogs, Micro-blogs, YouTube video, Flickr photos, Wiki content, Facebook wall posts, reddit, Second Life… 5 6 Social Media Principles Generate an activity stream • Automatic • Who you are – Google History, Google Analytics – Personalization • Blog • Who you know • Micro-blog – Browse network – Twitter, yammer, identi.ca • What you do • Mailing groups – Generate an activity stream -
``At the End of the Day Facebook Does What It Wants'': How Users
“At the End of the Day Facebook Does What It Wants”: How Users Experience Contesting Algorithmic Content Moderation KRISTEN VACCARO, University of Illinois Urbana-Champaign CHRISTIAN SANDVIG, University of Michigan KARRIE KARAHALIOS, University of Illinois Urbana-Champaign Interest has grown in designing algorithmic decision making systems for contestability. In this work, we study how users experience contesting unfavorable social media content moderation decisions. A large-scale online experiment tests whether different forms of appeals can improve users’ experiences of automated decision making. We study the impact on users’ perceptions of the Fairness, Accountability, and Trustworthiness of algorithmic decisions, as well as their feelings of Control (FACT). Surprisingly, we find that none of the appeal designs improve FACT perceptions compared to a no appeal baseline. We qualitatively analyze how users write appeals, and find that they contest the decision itself, but also more fundamental issues like thegoalof moderating content, the idea of automation, and the inconsistency of the system as a whole. We conclude with suggestions for – as well as a discussion of the challenges of – designing for contestability. CCS Concepts: • Human-centered computing → Human computer interaction (HCI); Social media. Additional Key Words and Phrases: content moderation; algorithmic experience ACM Reference Format: Kristen Vaccaro, Christian Sandvig, and Karrie Karahalios. 2020. “At the End of the Day Facebook Does What It Wants”: How Users Experience Contesting Algorithmic Content Moderation. Proc. ACM Hum.-Comput. Interact. 4, CSCW2, Article 167 (October 2020), 22 pages. https://doi.org/10.1145/3415238 1 INTRODUCTION As algorithmic decision making systems become both more prevalent and more visible, interest has grown in how to design them to be trustworthy, understandable and fair. -
Network Overlap and Content Sharing on Social Media Platforms
Network Overlap and Content Sharing on Social Media Platforms Jing Peng1, Ashish Agarwal2, Kartik Hosanagar3, Raghuram Iyengar3 1School of Business, University of Connecticut 2McCombs School of Business, University of Texas at Austin 3The Wharton School, University of Pennsylvania [email protected] [email protected] {kartikh, riyengar}@wharton.upenn.edu February 15, 2017 Acknowledgments. We benefited from feedback from session participants at 2013 Symposium on Statistical Challenges in eCommerce Research, 2014 International Conference on Information Systems, 2015 Workshop on Information in Networks, 2015 INFORMS Annual Meeting, and 2015 Workshop on Information Systems and Economics. The authors would like to thank Professors Christophe Van den Bulte, Paul Shaman, and Dylan Small for helpful discussions. This project was made possible by financial support extended to the first author through Mack Institute Research Fellowship, President Gutmann's Leadership Award, and Baker Retailing Center PhD Research Grant. 1 Network Overlap and Content Sharing on Social Media Platforms ABSTRACT We study the impact of network overlap – the overlap in network connections between two users – on content sharing in directed social media platforms. We propose a hazards model that flexibly captures the impact of three different measures of network overlap (i.e., common followees, common followers and common mutual followers) on content sharing. Our results indicate a receiver is more likely to share content from a sender with whom they share more common followees, common followers or common mutual followers after accounting for other measures. Additionally, the effect of common followers and common mutual followers is positive when the content is novel but decreases, and may even become negative, when many others in the network have already adopted it. -
UCLA Electronic Theses and Dissertations
UCLA UCLA Electronic Theses and Dissertations Title Gestalt Computing and the Study of Content-oriented User Behavior on the Web Permalink https://escholarship.org/uc/item/41b1c1n9 Author Bandari, Roja Publication Date 2013 Supplemental Material https://escholarship.org/uc/item/41b1c1n9#supplemental Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California University of California Los Angeles Gestalt Computing and the Study of Content-oriented User Behavior on the Web A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Electrical Engineering by Roja Bandari 2013 c Copyright by Roja Bandari 2013 Abstract of the Dissertation Gestalt Computing and the Study of Content-oriented User Behavior on the Web by Roja Bandari Doctor of Philosophy in Electrical Engineering University of California, Los Angeles, 2013 Professor Vwani P. Roychowdhury, Chair Elementary actions online establish an individual's existence on the web and her/his orientation toward different issues. In this sense, actions truly define a user in spaces like online forums and communities and the aggregate of elementary actions shape the atmosphere of these online spaces. This observation, coupled with the unprecedented scale and detail of data on user actions on the web, com- pels us to utilize them in understanding collective human behavior. Despite large investments by industry to capture this data and the expanding body of research on big data in academia, gaining insight into collective user behavior online has been elusive. If one is indeed able to overcome the considerable computational challenges posed by both the scale and the inevitable noisiness of the associated data sets, one could provide new automated frameworks to extract insights into evolving behavior at different scales, and to form an altogether different perspec- tive of aggregated elementary user actions. -
The Culture of Wikipedia
Good Faith Collaboration: The Culture of Wikipedia Good Faith Collaboration The Culture of Wikipedia Joseph Michael Reagle Jr. Foreword by Lawrence Lessig The MIT Press, Cambridge, MA. Web edition, Copyright © 2011 by Joseph Michael Reagle Jr. CC-NC-SA 3.0 Purchase at Amazon.com | Barnes and Noble | IndieBound | MIT Press Wikipedia's style of collaborative production has been lauded, lambasted, and satirized. Despite unease over its implications for the character (and quality) of knowledge, Wikipedia has brought us closer than ever to a realization of the centuries-old Author Bio & Research Blog pursuit of a universal encyclopedia. Good Faith Collaboration: The Culture of Wikipedia is a rich ethnographic portrayal of Wikipedia's historical roots, collaborative culture, and much debated legacy. Foreword Preface to the Web Edition Praise for Good Faith Collaboration Preface Extended Table of Contents "Reagle offers a compelling case that Wikipedia's most fascinating and unprecedented aspect isn't the encyclopedia itself — rather, it's the collaborative culture that underpins it: brawling, self-reflexive, funny, serious, and full-tilt committed to the 1. Nazis and Norms project, even if it means setting aside personal differences. Reagle's position as a scholar and a member of the community 2. The Pursuit of the Universal makes him uniquely situated to describe this culture." —Cory Doctorow , Boing Boing Encyclopedia "Reagle provides ample data regarding the everyday practices and cultural norms of the community which collaborates to 3. Good Faith Collaboration produce Wikipedia. His rich research and nuanced appreciation of the complexities of cultural digital media research are 4. The Puzzle of Openness well presented. -
Implicit Structure and the Dynamics of Blogspace
Implicit Structure and the Dynamics of Blogspace Eytan Adar Li Zhang Lada A. Adamic Rajan M. Lukose HP Information Dynamics Lab Abstract applications for finding the latest information very little attention has been paid to its spread. Weblogs link together in a complex structure through which new ideas and discourse can flow. Such a structure is ideal for In this paper, we study the pattern and dynamics of information the study of the propagation of information. In this paper we spreading in blogspace. We consider both the large scale describe general categories of information epidemics and create aspects of spreading patterns as well as how a specific, a tool to infer and visualize the paths specific infections take individual link may be tracked in blog networks. Our study is through the network. This inference is based in part on a novel enabled by the blog data that is crawled on a daily basis. In our utilization of data describing historical, repeating patterns of study, we will only track link information. While memes can infection. We conclude with a description of a new ranking take many forms, those addressed by URLs are by far the algorithm, iRank, for blogs. In contrast to traditional ranking simplest to track and disambiguate. For example, our system strategies, iRank acts on the implicit link structure to find those will track http://www.giantmicrobes.com instead of discussions blogs that initiate these epidemics. about the Giant Microbe toys, or images copied from the source site. General Terms With the triplets of (URL, blog, day of URL citation), we first Measurement, Experimentation, Algorithm characterize the spreading patterns of information. -
Facebook Timeline
Facebook Timeline 2003 October • Mark Zuckerberg releases Facemash, the predecessor to Facebook. It was described as a Harvard University version of Hot or Not. 2004 January • Zuckerberg begins writing Facebook. • Zuckerberg registers thefacebook.com domain. February • Zuckerberg launches Facebook on February 4. 650 Harvard students joined thefacebook.com in the first week of launch. March • Facebook expands to MIT, Boston University, Boston College, Northeastern University, Stanford University, Dartmouth College, Columbia University, and Yale University. April • Zuckerberg, Dustin Moskovitz, and Eduardo Saverin form Thefacebook.com LLC, a partnership. June • Facebook receives its first investment from PayPal co-founder Peter Thiel for US$500,000. • Facebook incorporates into a new company, and Napster co-founder Sean Parker becomes its president. • Facebook moves its base of operations to Palo Alto, California. N. Lee, Facebook Nation, DOI: 10.1007/978-1-4614-5308-6, 211 Ó Springer Science+Business Media New York 2013 212 Facebook Timeline August • To compete with growing campus-only service i2hub, Zuckerberg launches Wirehog. It is a precursor to Facebook Platform applications. September • ConnectU files a lawsuit against Zuckerberg and other Facebook founders, resulting in a $65 million settlement. October • Maurice Werdegar of WTI Partner provides Facebook a $300,000 three-year credit line. December • Facebook achieves its one millionth registered user. 2005 February • Maurice Werdegar of WTI Partner provides Facebook a second $300,000 credit line and a $25,000 equity investment. April • Venture capital firm Accel Partners invests $12.7 million into Facebook. Accel’s partner and President Jim Breyer also puts up $1 million of his own money. -
Download Paper
Lawless: the secret rules that govern our digital lives (and why we need new digital constitutions that protect our rights) Submitted version. Forthcoming 2019 Cambridge University Press. Nicolas P. Suzor Table of Contents Part I: a lawless internet Chapter 1. The hidden rules of the internet ............................................................................................. 6 Process matters ....................................................................................................................................................... 12 Chapter 2. Who makes the rules?.......................................................................................................... 17 Whose values apply? ............................................................................................................................................... 22 The moderation process .......................................................................................................................................... 25 Bias and accountability ........................................................................................................................................... 28 Chapter 3. The internet’s abuse problem ............................................................................................... 41 Abuse reflects and reinforces systemic inequalities ................................................................................................ 50 Dealing with abuse needs the involvement of platforms ....................................................................................... -
Social Media Skills Dominique Jackson
13 Must-Have Social Media Skills by Dominique Jackson on January 19, 2016 What are the ingredients of an ideal social media manager? If you were to ask this question 10 years ago, it would probably be a fairly short list. But as social media marketing evolved over the years with new technology and a wider audience, we’ve been able to see certain skills and traits that separate the top marketers from the rest. Learning and sharpening these skills can help propel your social media efforts into elite status, and avoid being one of the many brands that can’t seem to make any progress. Whether you’re looking to hire a new social media manager or simply want to improve your own strategy, focus on building up these 13 social media skills: 1. Community Management When you look at the top brands on social media, you’ll notice something they all have in common is a community aspect. Social media marketing is all about connecting with your audience. Once you’re able to build that connection and grow a community, your audience will start creating user generated content (UGC) and your reach will spread organically. Start by acknowledging your top sharers. These are the people who are consistently engaging with you and your content on social media. You can find this in the Sprout Social Trends report. Want to know what other pieces should be a part of your social team? We partnered with HubSpot to create a free guide on how to build a social media dream team from scratch, including some of the key positions you should fill.Download it here. -
Burgess Et Al Edited Chapter 4 Corrected
UvA-DARE (Digital Academic Repository) From Hypertext to Hype and Back Again: Exploring the Roots of Social Media in Early Web Culture Stevenson, M. DOI 10.17613/M6VV5D 10.4135/9781473984066.n5 Publication date 2018 Document Version Accepted author manuscript Published in The SAGE Handbook of Social Media Link to publication Citation for published version (APA): Stevenson, M. (2018). From Hypertext to Hype and Back Again: Exploring the Roots of Social Media in Early Web Culture. In J. Burgess, A. Marwick, & T. Poell (Eds.), The SAGE Handbook of Social Media (pp. 69-87). SAGE reference. https://doi.org/10.17613/M6VV5D, https://doi.org/10.4135/9781473984066.n5 General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You UvA-DAREwill be contacted is a service as provided soon as by possible.the library of the University of Amsterdam (https://dare.uva.nl) Download date:24 Sep 2021 Stevenson, Michael (2018) “From hypertext to hype and back again: exploring the roots of social media in the early web.” In J. -
The Complete Guide to Social Media from the Social Media Guys
The Complete Guide to Social Media From The Social Media Guys PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Mon, 08 Nov 2010 19:01:07 UTC Contents Articles Social media 1 Social web 6 Social media measurement 8 Social media marketing 9 Social media optimization 11 Social network service 12 Digg 24 Facebook 33 LinkedIn 48 MySpace 52 Newsvine 70 Reddit 74 StumbleUpon 80 Twitter 84 YouTube 98 XING 112 References Article Sources and Contributors 115 Image Sources, Licenses and Contributors 123 Article Licenses License 125 Social media 1 Social media Social media are media for social interaction, using highly accessible and scalable publishing techniques. Social media uses web-based technologies to turn communication into interactive dialogues. Andreas Kaplan and Michael Haenlein define social media as "a group of Internet-based applications that build on the ideological and technological foundations of Web 2.0, which allows the creation and exchange of user-generated content."[1] Businesses also refer to social media as consumer-generated media (CGM). Social media utilization is believed to be a driving force in defining the current time period as the Attention Age. A common thread running through all definitions of social media is a blending of technology and social interaction for the co-creation of value. Distinction from industrial media People gain information, education, news, etc., by electronic media and print media. Social media are distinct from industrial or traditional media, such as newspapers, television, and film. They are relatively inexpensive and accessible to enable anyone (even private individuals) to publish or access information, compared to industrial media, which generally require significant resources to publish information.