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The prevalence of new technologies and social media has amplified the effects of misinformation on our societies.
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Echo chambers: Bush v. Gore, impeachment, and beyond
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THE REALITY OF A FAKE IMAGE News norms, photojournalistic craft, and Brian Walski’s fabricated photograph
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Media framing biases and political power: Explaining slant in news of Campaign 2008
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Manufacturing consent: The political economy of the mass media
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Finding deceptive opinion spam by any stretch of the imagination. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1 . Association for Computational Linguistics, 309–319
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The filter bubble: What the Internet is hiding from you
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Detecting and tracking political abuse in social media
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An analysis of social network-based sybil defenses
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Live from New York, it’s the fake news! Saturday Night Live and the (non) politics of parody
Amber Day and Ethan Thompson. 2012 · 2012
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Finding and assessing social media information sources in the context of journalism. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems . ACM, 2451–2460
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Syntactic stylometry for deception detection. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers-Volume 2 . Association for Computational Linguistics, 171–175
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Socialbots: Voices from the fronts
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Social turing tests: Crowdsourcing sybil detection
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Automatic detection of rumor on Sina Weibo. In Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics . ACM, 13
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Sok: The evolution of sybil defense via social networks. In Security and Privacy (SP), 2013 IEEE Symposium on . IEEE, 382–396
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News parody and political satire across the globe
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prayforboston: Analyzing fake content on twitter. In eCrime Researchers Summit (eCRS), 2013 . IEEE, 1–12
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Digital wildfires in a hyperconnected world
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Munitions of the mind: A history of propaganda from the ancient world to the present era
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Knowledge vault: A web-scale approach to probabilistic knowledge fusion. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining . ACM, 601–610
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Tweetcred: Real-time credibility assessment of content on twitter. In International Conference on Social Informatics . Springer, 228–243
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Rumorlens: A system for analyzing the impact of rumors and corrections in social media. In Proc. Computational Journalism Conference
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Exposure to ideologically diverse news and opinion on Facebook
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Tweeting from left to right: Is online political communication more than an echo chamber?
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Why students share misinformation on social media: Motivation, gender, and study-level differences
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Connected through crisis: Emotional proximity and the spread of misinformation online. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing . ACM, 969–980
Fake news: public policy responses
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How advertising fuels fake news
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The agenda-setting power of fake news: A big data analysis of the online media landscape from 2014 to 2016
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Separating facts from fiction: Linguistic models to classify suspicious and trusted news posts on twitter. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , Vol. 2. 647–653
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" liar, liar pants on fire": A new benchmark dataset for fake news detection
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Y Linlin Huang, Kate Starbird, Mania Orand, Stephanie A Stanek, and Heather T Pedersen. 2015 · 2015
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Detect rumors using time series of social context information on microblogging websites. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management . ACM, 1751–1754
Jing Ma, Wei Gao, Zhongyu Wei, Yueming Lu, and Kam-Fai Wong. 2015 · 2015
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The development and psychometric properties of LIWC2015
James W Pennebaker, Ryan L Boyd, Kayla Jordan, and Kate Blackburn. 2015 · 2015
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Deception detection for news: three types of fakes. In Proceedings of the 78th ASIS&T Annual Meeting: Information Science with Impact: Research in and for the Community . American Society for Information Science, 83
Victoria L Rubin, Yimin Chen, and Niall J Conroy. 2015 · 2015
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Social bots distort the 2016 US Presidential election online discussion
Alessandro Bessi and Emilio Ferrara. 2016 · 2016
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What is in a rumour: Combined visual analysis of rumour flow and user activity. In Proceedings of the 33rd Computer Graphics International . ACM, 17–20
Anh Dang, Abidalrahman Moh’d, Evangelos Milios, and Rosane Minghim. 2016 · 2016
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Botornot: A system to evaluate social bots. In Proceedings of the 25th International Conference Companion on World Wide Web . International World Wide Web Conferences Steering Committee, 273–274
Clayton Allen Davis, Onur Varol, Emilio Ferrara, Alessandro Flammini, and Filippo Menczer. 2016 · 2016
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The rise of social bots
Emilio Ferrara, Onur Varol, Clayton Davis, Filippo Menczer, and Alessandro Flammini. 2016 · 2016
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Information Disorder: Toward an interdisciplinary framework for research and policymaking
Claire Wardle and Hossein Derakhshan. 2017 · 2017
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Fake news and the economy of emotions: Problems, causes, solutions
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Network Propaganda: Manipulation, Disinformation, and Radicalization in American Politics
Yochai Benkler, Robert Faris, and Hal Roberts. 2018 · 2018
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Falling for fake news: investigating the consumption of news via social media. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems . ACM, 376
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Understanding the promise and limits of automated fact-checking
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Can You Verifi This? Studying Uncertainty and Decision-Making About Misinformation using Visual Analytics. In International Conference on Web and Social Media (ICWSM)
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Seeing Is Believing: How People Fail to Identify Fake Images on the Web. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems . ACM, LBW516
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The science of fake news
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Prior exposure increases perceived accuracy of fake news
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Cognitive Reflection and the 2016 US Presidential Election
Gordon Pennycook and David G Rand. 2018a · 2018
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Who falls for fake news? The roles of bullshit receptivity, overclaiming, familiarity, and analytic thinking
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Wielding Claims of ‘Fake News,’ Conservatives Take Aim at Mainstream Media - The New York Times
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The knowledge illusion: Why we never think alone
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Here Is All The Fake News About The Manchester Terror Attack
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Tracing fake-news footprints: Characterizing social media messages by how they propagate. In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining . ACM, 637–645
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| Facebook Media and Publisher Help Center
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Fact- Checking - Duke Reporters’ Lab
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Fiskkit.com Discuss news that matters and find out what’s true
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Google, Facebook and Twitter Agree to Fight Fake News in the EU - Bloomberg
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The agenda-setting power of fake news: A big data analysis of the online media landscape from 2014 to 2016
Chris J Vargo, Lei Guo, and Michelle A Amazeen. 2018 · 2049
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