skip to main content
research-article

A Golden Age: Conspiracy Theories' Relationship with Misinformation Outlets, News Media, and the Wider Internet

Published:04 October 2023Publication History
Skip Editorial Notes Section

Editorial Notes

The authors have requested minor, non-substantive changes to the Version of Record and, in accordance with ACM policies, a Corrected Version of Record was published on November 10, 2023. For reference purposes, the VoR may still be accessed via the Supplemental Material section on this page.

Skip Abstract Section

Abstract

Do we live in a "Golden Age of Conspiracy Theories?" In the last few decades, conspiracy theories have proliferated on the Internet with some having dangerous real-world consequences. A large contingent of those who participated in the January 6th attack on the US Capitol believed fervently in the QAnon conspiracy theory. In this work, we study the relationships amongst five prominent conspiracy theories (QAnon, COVID, UFO/Aliens, 9/11, and Flat-Earth) and each of their respective relationships to the news media, both mainstream and fringe. Identifying and publishing a set of 755 different conspiracy theory websites dedicated to our five conspiracy theories, we find that each of them often hyperlinks to the same external domains, with COVID and QAnon conspiracy theory websites having the strongest connections. Examining the role of news media, we further find that not only do outlets known for spreading misinformation hyperlink to our set of conspiracy theory websites more often than mainstream websites but this hyperlinking has increased dramatically between 2018 and 2021, with the advent of QAnon and the start of COVID-19 pandemic. Using partial Granger-causality, we uncover several positive correlative relationships between the hyperlinks from misinformation websites and the popularity of conspiracy theory websites, suggesting the prominent role that misinformation news outlets play in popularizing many conspiracy theories.

Skip Supplemental Material Section

Supplemental Material

References

  1. 2017. The Partisan Divide on Political Values Grows Even Wider | Pew Research Center. https://www.pewresearch.org/politics/2017/10/05/the-partisan-divide-on-political-values-grows-even-wider/Google ScholarGoogle Scholar
  2. Sara Abdali, Rutuja Gurav, Siddharth Menon, Daniel Fonseca, Negin Entezari, Neil Shah, and Evangelos E Papalexakis. 2021. Identifying Misinformation from Website Screenshots. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 15. 2--13.Google ScholarGoogle ScholarCross RefCross Ref
  3. Gunes Acar, Christian Eubank, Steven Englehardt, Marc Juarez, Arvind Narayanan, and Claudia Diaz. 2014. The Web Never Forgets: Persistent Tracking Mechanisms in the Wild. In ACM SIGSAC Conference on Computer and Communications Security.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Rizwan Ahmad. 2022. Analysis of Media Bias-Glenn Beck TV Shows: A Content Analysis. Journal of Creative Communications 17, 1 (2022), 67--87.Google ScholarGoogle ScholarCross RefCross Ref
  5. Alexa Internet, Inc. 2020. Top 1,000,000 Sites. http://s3.amazonaws.com/alexa-static/top-1m.csv.zip.Google ScholarGoogle Scholar
  6. Max Aliapoulios, Emmi Bevensee, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, and Savvas Zannettou. 2021. An early look at the parler online social network. arXiv preprint arXiv:2101.03820 (2021).Google ScholarGoogle Scholar
  7. Hunt Allcott, Matthew Gentzkow, and Chuan Yu. 2019. Trends in the diffusion of misinformation on social media. Research & Politics 6, 2 (2019), 2053168019848554.Google ScholarGoogle ScholarCross RefCross Ref
  8. Amarnath Amarasingam and Marc-André Argentino. 2020. The QAnon conspiracy theory: A security threat in the making. CTC Sentinel 13, 7 (2020), 37--44.Google ScholarGoogle Scholar
  9. Richard A Armstrong. 2014. When to use the Bonferroni correction. Ophthalmic and Physiological Optics 34, 5 (2014), 502--508.Google ScholarGoogle ScholarCross RefCross Ref
  10. Jeffrey M Bale. 2007. Political paranoia v. political realism: On distinguishing between bogus conspiracy theories and genuine conspiratorial politics. Patterns of prejudice 41, 1 (2007), 45--60.Google ScholarGoogle Scholar
  11. Adrien Barbaresi. 2020. htmldate: A Python package to extract publication dates from web pages. Journal of Open Source Software 5, 51 (2020), 2439.Google ScholarGoogle ScholarCross RefCross Ref
  12. Samia Benaissa Pedriza. 2021. Sources, Channels and Strategies of Disinformation in the 2020 US Election: Social Networks, Traditional Media and Political Candidates. Journalism and Media 2, 4 (2021), 605--624.Google ScholarGoogle ScholarCross RefCross Ref
  13. Yoav Benjamini and Yosef Hochberg. 1995. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal statistical society: series B (Methodological) 57, 1 (1995), 289--300.Google ScholarGoogle ScholarCross RefCross Ref
  14. Katie Benner. 2021. Parler says it sent the F.B.I. posts about threats to the Capitol ahead of Jan. 6. - The New York Times. https://www.nytimes.com/2021/03/25/us/parler-fbi-capitol-attack.htmlGoogle ScholarGoogle Scholar
  15. Alessandro Bessi, Guido Caldarelli, Michela Del Vicario, Antonio Scala, and Walter Quattrociocchi. 2014. Social determinants of content selection in the age of (mis) information. In International conference on social informatics. Springer, 259--268.Google ScholarGoogle ScholarCross RefCross Ref
  16. Alessandro Bessi, Mauro Coletto, George Alexandru Davidescu, Antonio Scala, Guido Caldarelli, and Walter Quattrociocchi. 2015. Science vs conspiracy: Collective narratives in the age of misinformation. PloS one 10, 2 (2015), e0118093.Google ScholarGoogle ScholarCross RefCross Ref
  17. Shweta Bhatt, Sagar Joglekar, Shehar Bano, and Nishanth Sastry. 2018. Illuminating an ecosystem of partisan websites. In Companion Proceedings of the The Web Conference 2018. 545--554.Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Robert Brotherton, Christopher C French, and Alan D Pickering. 2013. Measuring belief in conspiracy theories: The generic conspiracist beliefs scale. Frontiers in psychology (2013), 279.Google ScholarGoogle Scholar
  19. Susanne Bruckmüller, Peter Hegarty, Karl Halvor Teigen, Gisela Böhm, and Olivier Luminet. 2017. When do past events require explanation? Insights from social psychology. Memory Studies 10, 3 (2017), 261--273.Google ScholarGoogle ScholarCross RefCross Ref
  20. Michael Butter and Peter Knight. 2020. Routledge handbook of conspiracy theories. Routledge.Google ScholarGoogle Scholar
  21. Kung Sik Chan and Howell Tong. 1986. On estimating thresholds in autoregressive models. Journal of time series analysis 7, 3 (1986), 179--190.Google ScholarGoogle ScholarCross RefCross Ref
  22. Le Chen, Ruijun Ma, Anikó Hannák, and Christo Wilson. 2018. Investigating the impact of gender on rank in resume search engines. In Proceedings of the 2018 chi conference on human factors in computing systems. 1--14.Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Yonghong Chen, Govindan Rangarajan, Jianfeng Feng, and Mingzhou Ding. 2004. Analyzing multiple nonlinear time series with extended Granger causality. Physics letters A 324, 1 (2004), 26--35.Google ScholarGoogle Scholar
  24. Lu Cheng, Ruocheng Guo, Kai Shu, and Huan Liu. 2021. Causal understanding of fake news dissemination on social media. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 148--157.Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Ross Dahlke, Ryan Moore, Peter Forberg, and Jeffrey Hancock. 2022. A mixed methods analysis of Americans' QAnon website consumption. (2022).Google ScholarGoogle Scholar
  26. Jodi Dean. 1998. Aliens in America: Conspiracy cultures from outerspace to cyberspace. Cornell University Press.Google ScholarGoogle Scholar
  27. Karen M Douglas and Robbie M Sutton. 2008. The hidden impact of conspiracy theories: Perceived and actual influence of theories surrounding the death of Princess Diana. The Journal of social psychology 148, 2 (2008), 210--222.Google ScholarGoogle ScholarCross RefCross Ref
  28. Karen M Douglas, Joseph E Uscinski, Robbie M Sutton, Aleksandra Cichocka, Turkay Nefes, Chee Siang Ang, and Farzin Deravi. 2019. Understanding conspiracy theories. Political Psychology 40 (2019), 3--35.Google ScholarGoogle ScholarCross RefCross Ref
  29. Lauren Dyson and Alden Golab. 2017. Fake News Detection Exploring the Application of NLP Methods to Machine Identification of Misleading News Sources. CAPP 30255 Adv. Mach. Learn. Public Policy (2017).Google ScholarGoogle Scholar
  30. David Easley and Jon Kleinberg. 2010. Networks, crowds, and markets: Reasoning about a highly connected world. Cambridge university press.Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Adam M. Enders, Joseph E. Uscinski, Casey A. Klofstad, Michelle I. Seelig, Stefan Wuchty, Manohar N. Murthi, Kamal Premaratne, and John R. Funchion. 2021. Do Conspiracy Beliefs Form a Belief System? Examining the Structure and Organization of Conspiracy Beliefs. Journal of Social and Political Psychology 9, 1 (Jun. 2021), 255--271. https://doi.org/10.5964/jspp.5649Google ScholarGoogle ScholarCross RefCross Ref
  32. Dan Evon. 2019. Did a Georgia Lawmaker Claim a Chick-fil-A Employee Told Her to Go Back to Her Country? | Snopes.com. https://www.snopes.com/fact-check/georgia-lawmaker-go-back-claim/Google ScholarGoogle Scholar
  33. Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, and Yulia Tsvetkov. 2018. Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies. In 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP).Google ScholarGoogle ScholarCross RefCross Ref
  34. Kiran Garimella and Dean Eckles. 2020. Images and misinformation in political groups: Evidence from WhatsApp in India. Harvard Kennedy School Misinformation Review (2020).Google ScholarGoogle Scholar
  35. Kiran Garimella, Tim Smith, Rebecca Weiss, and Robert West. 2021. Political Polarization in Online News Consumption. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 15. 152--162.Google ScholarGoogle ScholarCross RefCross Ref
  36. Amira Ghenai and Yelena Mejova. 2017. Catching Zika Fever: Application of Crowdsourcing and Machine Learning for Tracking Health Misinformation on Twitter. In 2017 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 518--518.Google ScholarGoogle Scholar
  37. Ted Goertzel. 1994. Belief in conspiracy theories. Political psychology (1994), 731--742.Google ScholarGoogle Scholar
  38. Clive WJ Granger. 1969. Investigating causal relations by econometric models and cross-spectral methods. Econometrica: journal of the Econometric Society (1969), 424--438.Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. Rachel Greenspan. 2021. QAnon Bans: How Tech Companies Are Responding to the Conspiracy Theory. https://www.businessinsider.com/how-every-tech-company-social-media-platform-handling-qanon-2020--10#youtube-announced-a-bigger-crackdown-on-qanon-but-stopped-short-of-an-explicit-ban-3Google ScholarGoogle Scholar
  40. Andrew Guess, Brendan Nyhan, and Jason Reifler. 2018. Selective exposure to misinformation: Evidence from the consumption of fake news during the 2016 US presidential campaign. European Research Council 9, 3 (2018), 4.Google ScholarGoogle Scholar
  41. Shuixia Guo, Anil K Seth, Keith M Kendrick, Cong Zhou, and Jianfeng Feng. 2008. Partial Granger causality-eliminating exogenous inputs and latent variables. Journal of neuroscience methods 172, 1 (2008), 79--93.Google ScholarGoogle ScholarCross RefCross Ref
  42. Catherine Han, Deepak Kumar, and Zakir Durumeric. 2022. On the Infrastructure Providers That Support Misinformation Websites. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 16. 287--298.Google ScholarGoogle ScholarCross RefCross Ref
  43. Hans WA Hanley, Deepak Kumar, and Zakir Durumeric. 2022. No Calm in the Storm: Investigating QAnon Website Relationships. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 16. 299--310.Google ScholarGoogle ScholarCross RefCross Ref
  44. Hans WA Hanley, Deepak Kumar, and Zakir Durumeric. 2023. " A Special Operation": A Quantitative Approach to Dissecting and Comparing Different Media Ecosystems' Coverage of the Russo-Ukrainian War. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 17. 339--350.Google ScholarGoogle ScholarCross RefCross Ref
  45. Hans WA Hanley, Deepak Kumar, and Zakir Durumeric. 2023. Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War On Reddit. In Proceedings of the international AAAI conference on web and social media, Vol. 17. 327--338.Google ScholarGoogle ScholarCross RefCross Ref
  46. Richard Hofstadter. 2012. The paranoid style in American politics. Vintage.Google ScholarGoogle Scholar
  47. Austin Hounsel, Jordan Holland, Ben Kaiser, Kevin Borgolte, Nick Feamster, and Jonathan Mayer. 2020. Identifying Disinformation Websites Using Infrastructure Features. In USENIX Workshop on Free and Open Communications on the Internet.Google ScholarGoogle Scholar
  48. Y Linlin Huang, Kate Starbird, Mania Orand, Stephanie A Stanek, and Heather T Pedersen. 2015. 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. 969--980.Google ScholarGoogle ScholarDigital LibraryDigital Library
  49. Caroline Jack. 2017. Lexicon of lies: Terms for problematic information. Data & Society 3, 22 (2017), 1094--1096.Google ScholarGoogle Scholar
  50. Suchita Jain, Vanya Sharma, and Rishabh Kaushal. 2016. Towards automated real-time detection of misinformation on Twitter. In 2016 International conference on advances in computing, communications and informatics (ICACCI). IEEE, 2015--2020.Google ScholarGoogle ScholarCross RefCross Ref
  51. Kalervo Järvelin and Jaana Kekäläinen. 2002. Cumulated gain-based evaluation of IR techniques. ACM Transactions on Information Systems (TOIS) 20, 4 (2002), 422--446.Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. Shan Jiang and Christo Wilson. 2018. Linguistic signals under misinformation and fact-checking: Evidence from user comments on social media. Proceedings of the ACM on Human-Computer Interaction 2, CSCW (2018), 1--23.Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. Alex Kasprak. 2019. Did Colin Kaepernick Lobby to Remove the National Anthem from Football? | Snopes.com. https://www.snopes.com/fact-check/kaepernick-remove-national-anthem/Google ScholarGoogle Scholar
  54. Quyu Kong, Emily Booth, Francesco Bailo, Amelia Johns, and Marian-Andrei Rizoiu. 2022. Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussions. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 16. 524--535.Google ScholarGoogle ScholarCross RefCross Ref
  55. Stephan Lewandowsky, Ullrich KH Ecker, Colleen M Seifert, Norbert Schwarz, and John Cook. 2012. Misinformation and its correction: Continued influence and successful debiasing. Psychological science in the public interest 13, 3 (2012), 106--131.Google ScholarGoogle Scholar
  56. Binny Mathew, Ritam Dutt, Pawan Goyal, and Animesh Mukherjee. 2019. Spread of hate speech in online social media. In Proceedings of the 10th ACM conference on web science. 173--182.Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. Mahalia Miller, Conal Sathi, Daniel Wiesenthal, Jure Leskovec, and Christopher Potts. 2011. Sentiment flow through hyperlink networks. In AAAI Conference on Web and Social Media.Google ScholarGoogle Scholar
  58. Jeremiah Morelock and Felipe Ziotti Narita. 2022. The Nexus of QAnon and COVID-19: Legitimation Crisis and Epistemic Crisis. Critical Sociology (2022), 08969205211069614.Google ScholarGoogle Scholar
  59. Durim Morina and Michael S Bernstein. 2022. A Web-Scale Analysis of the Community Origins of Image Memes. Proceedings of the ACM on Human-Computer Interaction 6, CSCW1 (2022), 1--25.Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. Mary E Myers. 2021. Propaganda, Fake News, and Deepfaking. In Understanding Media Psychology. Routledge, 161--181.Google ScholarGoogle Scholar
  61. Sebastian Nagel. 2021. Host- and Domain-Level Web Graphs February/March, April and May 2021 -- Common Crawl. https://commoncrawl.org/2021/05/host-and-domain-level-web-graphs-feb-apr-may-2021/Google ScholarGoogle Scholar
  62. Brendan Nyhan and Jason Reifler. 2010. When corrections fail: The persistence of political misperceptions. Political Behavior 32, 2 (2010), 303--330.Google ScholarGoogle ScholarCross RefCross Ref
  63. Ciaran O'Conner, Cooper Gatewood, Kendrick McDonald, and Sarah Brandt. 2020. The Boom Before the Ban: QAnon and Facebook - ISD. https://www.isdglobal.org/isd-publications/the-boom-before-the-ban-qanon-and-facebook/Google ScholarGoogle Scholar
  64. J Eric Oliver and Thomas Wood. 2014. Medical conspiracy theories and health behaviors in the United States. JAMA internal medicine 174, 5 (2014), 817--818.Google ScholarGoogle Scholar
  65. J. Eric Oliver and Thomas J. Wood. 2014. Conspiracy Theories and the Paranoid Style(s) of Mass Opinion. American Journal of Political Science 58 (10 2014), 952--966. Issue 4. https://doi.org/10.1111/AJPS.12084Google ScholarGoogle ScholarCross RefCross Ref
  66. Ray Oshikawa, Jing Qian, and William Yang Wang. 2020. A Survey on Natural Language Processing for Fake News Detection. In Proceedings of the 12th Language Resources and Evaluation Conference. 6086--6093.Google ScholarGoogle Scholar
  67. Shira Ovide. 2021. Trump. Twitter. QAnon. Who's to Blame for DC Capitol Riot? https://www.nytimes.com/2021/01/07/technology/trump-twitter-qanon.html.Google ScholarGoogle Scholar
  68. John C Paolillo. 2018. The flat earth phenomenon on YouTube. First Monday (2018).Google ScholarGoogle Scholar
  69. Antonis Papasavva, Max Aliapoulios, Cameron Ballard, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, and Jeremy Blackburn. 2022. The gospel according to Q: Understanding the QAnon conspiracy from the perspective of canonical information. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 16. 735--746.Google ScholarGoogle ScholarCross RefCross Ref
  70. Antonis Papasavva, Jeremy Blackburn, Gianluca Stringhini, Savvas Zannettou, and Emiliano De Cristofaro. 2021. "Is it a Qoincidence?": An Exploratory Study of QAnon on Voat. In Proceedings of the Web Conference 2021. 460--471.Google ScholarGoogle ScholarDigital LibraryDigital Library
  71. Stephanie Pappas. 2021. Flat Earth "theory' - why do some people think the Earth is flat? | Live Science. https://www.livescience.com/24310-flat-earth-belief.htmlGoogle ScholarGoogle Scholar
  72. Marius Paraschiv, Nikos Salamanos, Costas Iordanou, Nikolaos Laoutaris, and Michael Sirivianos. 2022. A Unified Graph-Based Approach to Disinformation Detection using Contextual and Semantic Relations. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 16. 747--758.Google ScholarGoogle ScholarCross RefCross Ref
  73. Han Woo Park. 2003. Hyperlink network analysis: A new method for the study of social structure on the web. Connections (2003).Google ScholarGoogle Scholar
  74. Shruti Phadke, Mattia Samory, and Tanushree Mitra. 2021. Characterizing social imaginaries and self-disclosures of dissonance in online conspiracy discussion communities. Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (2021), 1--35.Google ScholarGoogle ScholarDigital LibraryDigital Library
  75. Shruti Phadke, Mattia Samory, and Tanushree Mitra. 2022. Pathways through Conspiracy: The Evolution of Conspiracy Radicalization through Engagement in Online Conspiracy Discussions. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 16. 770--781.Google ScholarGoogle ScholarCross RefCross Ref
  76. Vahed Qazvinian, Emily Rosengren, Dragomir Radev, and Qiaozhu Mei. 2011. Rumor has it: Identifying misinformation in microblogs. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing. 1589--1599.Google ScholarGoogle Scholar
  77. Sonia Rao. 2022. Trevor Noah's best jokes at the White House correspondents' dinner - The Washington Post. https://www.washingtonpost.com/arts-entertainment/2022/04/30/trevor-noah-white-house-correspondents-dinner/Google ScholarGoogle Scholar
  78. Yannick Rochat. 2009. Closeness centrality extended to unconnected graphs: The harmonic centrality index. Technical Report.Google ScholarGoogle Scholar
  79. Bjorn Roelstraete and Yves Rosseel. 2012. Does partial Granger causality really eliminate the influence of exogenous inputs and latent variables? Journal of neuroscience methods 206, 1 (2012), 73--77.Google ScholarGoogle ScholarCross RefCross Ref
  80. Daniel Romer and Kathleen Hall Jamieson. 2020. Conspiracy theories as barriers to controlling the spread of COVID-19 in the US. Social science & medicine 263 (2020), 113356.Google ScholarGoogle Scholar
  81. Kevin Roose. 2021. What Is QAnon, the Viral Pro-Trump Conspiracy Theory? - The New York Times. https://www.nytimes.com/article/what-is-qanon.htmlGoogle ScholarGoogle Scholar
  82. Mattia Samory and Tanushree Mitra. 2018. Conspiracies online: User discussions in a conspiracy community following dramatic events. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 12.Google ScholarGoogle ScholarCross RefCross Ref
  83. Mattia Samory and Tanushree Mitra. 2018. 'The Government Spies Using Our Webcams' The Language of Conspiracy Theories in Online Discussions. Proceedings of the ACM on Human-Computer Interaction 2, CSCW (2018), 1--24.Google ScholarGoogle Scholar
  84. Quirin Scheitle, Oliver Hohlfeld, Julien Gamba, Jonas Jelten, Torsten Zimmermann, Stephen D Strowes, and Narseo Vallina-Rodriguez. 2018. A long way to the top: Significance, structure, and stability of internet top lists. In Proceedings of the Internet Measurement Conference 2018. 478--493.Google ScholarGoogle ScholarDigital LibraryDigital Library
  85. Djamé Seddah, Farah Essaidi, Amal Fethi, Matthieu Futeral, Benjamin Muller, Pedro Javier Ortiz Suárez, Benoît Sagot, and Abhishek Srivastava. 2020. Building a user-generated content North-African Arabizi treebank: Tackling hell. In ACL 2020--58th Annual Meeting of the Association for Computational Linguistics.Google ScholarGoogle ScholarCross RefCross Ref
  86. Vibhor Sehgal, Ankit Peshin, Sadia Afroz, and Hany Farid. 2021. Mutual Hyperlinking Among Misinformation Peddlers. arXiv preprint arXiv:2104.11694 (2021).Google ScholarGoogle Scholar
  87. Ari Sen and Brandy Zadrozny. 2020. QAnon groups have millions of members on Facebook, documents show. https://www.nbcnews.com/tech/tech-news/qanon-groups-have-millions-members-facebook-documents-show-n1236317Google ScholarGoogle Scholar
  88. Juan Carlos Medina Serrano, Orestis Papakyriakopoulos, and Simon Hegelich. 2020. NLP-based feature extraction for the detection of COVID-19 misinformation videos on YouTube. In Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020.Google ScholarGoogle Scholar
  89. Karishma Sharma, Emilio Ferrara, and Yan Liu. 2022. Characterizing online engagement with disinformation and conspiracies in the 2020 US presidential election. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 16. 908--919.Google ScholarGoogle Scholar
  90. Karishma Sharma, Emilio Ferrara, and Yan Liu. 2022. Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. In Proceedings of the ACM Web Conference 2022. 3755--3764.Google ScholarGoogle ScholarDigital LibraryDigital Library
  91. Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, and Huan Liu. 2017. Fake News Detection on Social Media: A Data Mining Perspective. SIGKDD Explor. Newsl. 19, 1 (sep 2017), 22--36. https://doi.org/10.1145/3137597.3137600Google ScholarGoogle ScholarDigital LibraryDigital Library
  92. Jason Smith, Herve Saint-Amand, Magdalena Plamada, Philipp Koehn, Chris Callison-Burch, and Adam Lopez. 2013. Dirt cheap web-scale parallel text from the common crawl. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 1374--1383.Google ScholarGoogle Scholar
  93. PRRI Staff. [n. d.]. Understanding QAnon's Connection to American Politics, Religion, and Media Consumption. https://www.prri.org/research/qanon-conspiracy-american-politics-report/Google ScholarGoogle Scholar
  94. Zack Stanton. 2020. You're Living in the Golden Age of Conspiracy Theories - POLITICO. https://www.politico.com/news/magazine/2020/06/17/conspiracy-theories-pandemic-trump-2020-election-coronavirus-326530Google ScholarGoogle Scholar
  95. Kate Starbird, Ahmer Arif, Tom Wilson, Katherine Van Koevering, Katya Yefimova, and Daniel Scarnecchia. 2018. Ecosystem or echo-system? Exploring content sharing across alternative media domains. In Proceedings of the International AAAI Conference on Web and Social Media.Google ScholarGoogle ScholarCross RefCross Ref
  96. Carl Stempel, Thomas Hargrove, and Guido H Stempel III. 2007. Media use, social structure, and belief in 9/11 conspiracy theories. Journalism & Mass Communication Quarterly 84, 2 (2007), 353--372.Google ScholarGoogle ScholarCross RefCross Ref
  97. Ana Stojanov et al. 2015. Reducing conspiracy theory beliefs. Psihologija 48, 3 (2015), 251--266.Google ScholarGoogle ScholarCross RefCross Ref
  98. Cass R Sunstein. 2018. # Republic: Divided democracy in the age of social media. Princeton University Press.Google ScholarGoogle Scholar
  99. Art Swift. 2013. Majority in US still believe JFK killed in a conspiracy. Gallup. com 15 (2013).Google ScholarGoogle Scholar
  100. Samaneh Tajalizadehkhoob and Victor Le Pochat. 2019. The Tale of Website Popularity Rankings: An Extensive Analysis | RIPE Labs. https://labs.ripe.net/author/samaneh_tajalizadehkhoob_1/the-tale-of-website-popularity-rankings-an-extensive-analysis/Google ScholarGoogle Scholar
  101. Sprinklr Team. 2017. Sprinklr Spotlight: OK.ru, Russia's Oldest Social Network. https://www.sprinklr.com/blog/okru-russia-oldest-social-network/Google ScholarGoogle Scholar
  102. Kaitlyn Tiffany. 2020. Why QAnon Left Reddit. https://www.theatlantic.com/technology/archive/2020/09/reddit-qanon-ban-evasion-policy-moderation-facebook/616442/.Google ScholarGoogle Scholar
  103. Craig Timber. 2020. QAnon still rampant on Twitter despite July takedown. https://www.washingtonpost.com/technology/2020/10/03/twitter-banished-worst-qanon-accounts-more-than-93000-remain-site-research-shows/.Google ScholarGoogle Scholar
  104. Craig Timberg and Elizabeth Dwoskin. 2021. QAnon groups on Telegram seethe with covid denialism and vaccine misinformation - The Washington Post. https://www.washingtonpost.com/technology/2021/03/11/with-trump-gone-qanon-groups-focus-fury-attacking-covid-vaccines/Google ScholarGoogle Scholar
  105. Yariv Tsfati, Hajo G Boomgaarden, Jesper Strömbäck, Rens Vliegenthart, Alyt Damstra, and Elina Lindgren. 2020. Causes and consequences of mainstream media dissemination of fake news: literature review and synthesis. Annals of the International Communication Association 44, 2 (2020), 157--173.Google ScholarGoogle ScholarCross RefCross Ref
  106. Joseph E Uscinski and Joseph M Parent. 2014. American conspiracy theories. Oxford University Press.Google ScholarGoogle Scholar
  107. Jan-Willem Van Prooijen and Karen M Douglas. 2017. Conspiracy theories as part of history: The role of societal crisis situations. Memory studies 10, 3 (2017), 323--333.Google ScholarGoogle Scholar
  108. Jan-Willem Van Prooijen and Paul AM Van Lange. 2014. Power, politics, and paranoia: Why people are suspicious of their leaders. Cambridge University Press.Google ScholarGoogle Scholar
  109. Cornelius Adrian Vermeule and Cass Robert Sunstein. 2009. Conspiracy theories: causes and cures. Journal of Political Philosophy (2009).Google ScholarGoogle Scholar
  110. MK Vijaymeena and K Kavitha. 2016. A survey on similarity measures in text mining. Machine Learning and Applications: An International Journal 3, 2 (2016), 19--28.Google ScholarGoogle ScholarCross RefCross Ref
  111. Emily L Wang, Luca Luceri, Francesco Pierri, and Emilio Ferrara. 2022. Identifying and Characterizing Behavioral Classes of Radicalization within the QAnon Conspiracy on Twitter. arXiv preprint arXiv:2209.09339 (2022).Google ScholarGoogle Scholar
  112. Yuping Wang, Fatemeh Tamahsbi, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, David Magerman, Savvas Zannettou, and Gianluca Stringhini. 2020. Understanding the Use of Fauxtography on Social Media. arXiv preprint arXiv:2009.11792 (2020).Google ScholarGoogle Scholar
  113. Brian E Weeks. 2015. Emotions, partisanship, and misperceptions: How anger and anxiety moderate the effect of partisan bias on susceptibility to political misinformation. Journal of communication 65, 4 (2015), 699--719.Google ScholarGoogle ScholarCross RefCross Ref
  114. Elizabeth Williamson and Emily Steel. 2018. Conspiracy Theories Made Alex Jones Very Rich. They May Bring Him Down. https://www.nytimes.com/2018/09/07/us/politics/alex-jones-business-infowars-conspiracy.html.Google ScholarGoogle Scholar
  115. Sijia Xiao, Coye Cheshire, and Amy Bruckman. 2021. Sensemaking and the Chemtrail Conspiracy on the Internet: Insights from Believers and Ex-believers. Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (2021), 1--28.Google ScholarGoogle ScholarDigital LibraryDigital Library
  116. Ilya Yablokov and Precious N Chatterje-Doody. 2021. Russia Today and Conspiracy Theories: People, Power and Politics on RT. Routledge.Google ScholarGoogle Scholar
  117. Funda Yurdakul and Erdogan Cevher. 2015. Determinants of current account deficit in Turkey: the conditional and partial Granger causality approach. Procedia Economics and Finance 26 (2015), 92--100.Google ScholarGoogle ScholarCross RefCross Ref
  118. Savvas Zannettou, Tristan Caulfield, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, and Jeremy Blackburn. 2020. Characterizing the use of images in state-sponsored information warfare operations by russian trolls on twitter. In Proceedings of the International AAAI Conference on Web and Social Media.Google ScholarGoogle ScholarCross RefCross Ref
  119. Savvas Zannettou, Tristan Caulfield, Emiliano De Cristofaro, Nicolas Kourtelris, Ilias Leontiadis, Michael Sirivianos, Gianluca Stringhini, and Jeremy Blackburn. 2017. The web centipede: understanding how web communities influence each other through the lens of mainstream and alternative news sources. In Proceedings of the 2017 internet measurement conference. 405--417.Google ScholarGoogle ScholarDigital LibraryDigital Library
  120. Marvin Zonis and Craig M Joseph. 1994. Conspiracy thinking in the Middle East. Political Psychology (1994), 443--459.Google ScholarGoogle Scholar

Index Terms

  1. A Golden Age: Conspiracy Theories' Relationship with Misinformation Outlets, News Media, and the Wider Internet
        Index terms have been assigned to the content through auto-classification.

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in

        Full Access

        • Published in

          cover image Proceedings of the ACM on Human-Computer Interaction
          Proceedings of the ACM on Human-Computer Interaction  Volume 7, Issue CSCW2
          CSCW
          October 2023
          4055 pages
          EISSN:2573-0142
          DOI:10.1145/3626953
          Issue’s Table of Contents

          Copyright © 2023 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 4 October 2023
          Published in pacmhci Volume 7, Issue CSCW2

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article
        • Article Metrics

          • Downloads (Last 12 months)126
          • Downloads (Last 6 weeks)35

          Other Metrics

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader