Bibliography – Fake News

Selected DH research and resources bearing on, or utilized by, the WE1S project.
(all) Distant Reading | Cultural Analytics | | Sociocultural Approaches | Topic Modeling in DH | Non-consumptive Use


BBC Media Centre. “Trusted News Initiative (TNI) Steps up Global Fight against Disinformation with New Focus on US Presidential Election.” BBC News, 2020. https://www.bbc.co.uk/mediacentre/latestnews/2020/trusted-news-initiative. Cite
Pennycook, Gordon, and David G. Rand. “Who Falls for Fake News? The Roles of Bullshit Receptivity, Overclaiming, Familiarity, and Analytic Thinking.” Journal of Personality 88, no. 2 (2020): 185–200. https://doi.org/10.1111/jopy.12476. Cite
Shu, Kai, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu. “FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media.” ArXiv:1809.01286 [Cs], 2019. http://arxiv.org/abs/1809.01286. Cite
Shu, Kai, H. Russell Bernard, and Huan Liu. “Studying Fake News via Network Analysis: Detection and Mitigation.” In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining, edited by Nitin Agarwal, Nima Dokoohaki, and Serpil Tokdemir, 43–65. Lecture Notes in Social Networks. Cham: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-319-94105-9_3. Cite
Shu, Kai, Suhang Wang, and Huan Liu. “Beyond News Contents: The Role of Social Context for Fake News Detection.” In Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 312–20. WSDM ’19. Melbourne VIC, Australia: Association for Computing Machinery, 2019. https://doi.org/10.1145/3289600.3290994. Cite
Bovet, Alexandre, and Hernán A. Makse. “Influence of Fake News in Twitter during the 2016 US Presidential Election.” Nature Communications 10, no. 1 (2019): 1–14. https://doi.org/10.1038/s41467-018-07761-2. Cite
Pennycook, Gordon, and David G. Rand. “Lazy, Not Biased: Susceptibility to Partisan Fake News Is Better Explained by Lack of Reasoning than by Motivated Reasoning.” Cognition, The Cognitive Science of Political Thought, 188 (2019): 39–50. https://doi.org/10.1016/j.cognition.2018.06.011. Cite
Guess, Andrew, Jonathan Nagler, and Joshua Tucker. “Less than You Think: Prevalence and Predictors of Fake News Dissemination on Facebook.” Science Advances 5, no. 1 (2019): eaau4586. https://doi.org/10.1126/sciadv.aau4586. Cite
Grinberg, Nir, Kenneth Joseph, Lisa Friedland, Briony Swire-Thompson, and David Lazer. “Fake News on Twitter during the 2016 U.S. Presidential Election.” Science 363, no. 6425 (2019): 374–78. https://doi.org/10.1126/science.aau2706. Cite
Bronstein, Michael V., Gordon Pennycook, Adam Bear, David G. Rand, and Tyrone D. Cannon. “Belief in Fake News Is Associated with Delusionality, Dogmatism, Religious Fundamentalism, and Reduced Analytic Thinking.” Journal of Applied Research in Memory and Cognition 8, no. 1 (2019): 108–17. https://doi.org/10.1016/j.jarmac.2018.09.005. Cite
Scheufele, Dietram A., and Nicole M. Krause. “Science Audiences, Misinformation, and Fake News.” Proceedings of the National Academy of Sciences 116, no. 16 (2019): 7662–69. https://doi.org/10.1073/pnas.1805871115. Cite
Polletta, Francesca, and Jessica Callahan. “Deep Stories, Nostalgia Narratives, and Fake News: Storytelling in the Trump Era.” In Politics of Meaning/Meaning of Politics: Cultural Sociology of the 2016 U.S. Presidential Election, edited by Jason L. Mast and Jeffrey C. Alexander, 55–73. Cultural Sociology. Cham: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-319-95945-0_4. Cite
Roozenbeek, Jon, and Sander van der Linden. “The Fake News Game: Actively Inoculating against the Risk of Misinformation.” Journal of Risk Research 22, no. 5 (2019): 570–80. https://doi.org/10.1080/13669877.2018.1443491. Cite
Waszak, Przemyslaw M., Wioleta Kasprzycka-Waszak, and Alicja Kubanek. “The Spread of Medical Fake News in Social Media – The Pilot Quantitative Study.” Health Policy and Technology 7, no. 2 (2018): 115–18. https://doi.org/10.1016/j.hlpt.2018.03.002. Cite
Flintham, Martin, Christian Karner, Khaled Bachour, Helen Creswick, Neha Gupta, and Stuart Moran. “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, 1–10. CHI ’18. Montreal QC, Canada: Association for Computing Machinery, 2018. https://doi.org/10.1145/3173574.3173950. Cite
Liu, Yang, and Yi-Fang Brook Wu. “Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks.” In Thirty-Second AAAI Conference on Artificial Intelligence, 2018. https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16826. Cite
Shao, Chengcheng, Giovanni Luca Ciampaglia, Onur Varol, Kai-Cheng Yang, Alessandro Flammini, and Filippo Menczer. “The Spread of Low-Credibility Content by Social Bots.” Nature Communications 9, no. 1 (2018): 1–9. https://doi.org/10.1038/s41467-018-06930-7. Cite
Parikh, Shivam B., and Pradeep K. Atrey. “Media-Rich Fake News Detection: A Survey.” In 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 436–41, 2018. https://doi.org/10.1109/MIPR.2018.00093. Cite
Shu, Kai, Suhang Wang, and Huan Liu. “Understanding User Profiles on Social Media for Fake News Detection.” In 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 430–35. Miami, FL: IEEE, 2018. https://doi.org/10.1109/MIPR.2018.00092. Cite
Wu, Liang, and Huan Liu. “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, 637–45. WSDM ’18. Marina Del Rey, CA, USA: Association for Computing Machinery, 2018. https://doi.org/10.1145/3159652.3159677. Cite
Pennycook, Gordon, T. D. Cannon, and D. G. Rand. “Prior Exposure Increases Perceived Accuracy of Fake News.” Journal of Experimental Psychology: General 147, no. 12 (2018): 1865–80. https://doi.org/10.1037/xge0000465. Cite
Jankowski, Nicholas W. “Researching Fake News: A Selective Examination of Empirical Studies.” Javnost - The Public 25, no. 1–2 (2018): 248–55. https://doi.org/10.1080/13183222.2018.1418964. Cite
Fletcher, Richard, Alessio Cornia, Lucas Graves, and Rasmus Kleis Nielsen. “Measuring the Reach of ‘Fake News’ and Online Disinformation in Europe.” Digital News Report, 2018. http://www.digitalnewsreport.org/publications/2018/measuring-reach-fake-news-online-disinformation-europe/. Cite
Nelson, Jacob L, and Harsh Taneja. “The Small, Disloyal Fake News Audience: The Role of Audience Availability in Fake News Consumption.” New Media & Society 20, no. 10 (2018): 3720–37. https://doi.org/10.1177/1461444818758715. Cite
Vargo, Chris J, Lei Guo, and Michelle A Amazeen. “The Agenda-Setting Power of Fake News: A Big Data Analysis of the Online Media Landscape from 2014 to 2016.” New Media & Society 20, no. 5 (2018): 2028–49. https://doi.org/10.1177/1461444817712086. Cite
Waisbord, Silvio. “Truth Is What Happens to News.” Journalism Studies 19, no. 13 (2018): 1866–78. https://doi.org/10.1080/1461670X.2018.1492881. Cite
Jang, S. Mo, and Joon K. Kim. “Third Person Effects of Fake News: Fake News Regulation and Media Literacy Interventions.” Computers in Human Behavior 80 (2018): 295–302. https://doi.org/10.1016/j.chb.2017.11.034. Cite
McNair, Brian. Fake News: Falsehood, Fabrication and Fantasy in Journalism. Disruptions: Studies in Digital Journalism. London : New York: Routledge, 2018. Cite
Gelfert, Axel. “Fake News: A Definition.” Informal Logic 38, no. 1 (2018): 84–117. https://doi.org/https://doi.org/10.22329/il.v38i1.5068. Cite
Bakir, Vian, and Andrew McStay. “Fake News and The Economy of Emotions.” Digital Journalism 6, no. 2 (2018): 154–75. https://doi.org/10.1080/21670811.2017.1345645. Cite
Jr, Edson C. Tandoc, Zheng Wei Lim, and Richard Ling. “Defining ‘Fake News.’” Digital Journalism 6, no. 2 (2018): 137–53. https://doi.org/10.1080/21670811.2017.1360143. Cite
Lazer, David M. J., Matthew A. Baum, Yochai Benkler, Adam J. Berinsky, Kelly M. Greenhill, Filippo Menczer, Miriam J. Metzger, et al. “The Science of Fake News.” Science 359, no. 6380 (2018): 1094–96. https://doi.org/10.1126/science.aao2998. Cite
Allcott, Hunt, and Matthew Gentzkow. “Social Media and Fake News in the 2016 Election.” Journal of Economic Perspectives 31, no. 2 (2017): 211–36. https://doi.org/10.1257/jep.31.2.211. Cite
Shu, Kai, Amy Sliva, Suhang Wang, Jiliang Tang, and Huan Liu. “Fake News Detection on Social Media: A Data Mining Perspective.” Association for Computing Machinery, 2017. https://doi.org/10.1145/3137597.3137600. Cite
Bounegru, Liliana, Jonathan Gray, Tommaso Venturini, and Michele Mauri. A Field Guide to “Fake News” and Other Information Disorders. Amsterdam: Public Data Lab, 2017. http://fakenews.publicdatalab.org/. Cite
Spohr, Dominic. “Fake News and Ideological Polarization: Filter Bubbles and Selective Exposure on Social Media.” Business Information Review 34, no. 3 (2017): 150–60. https://doi.org/10.1177/0266382117722446. Cite
Mustafaraj, Eni, and Panagiotis Takis Metaxas. “The Fake News Spreading Plague: Was It Preventable?” In Proceedings of the 2017 ACM on Web Science Conference, 235–39. WebSci ’17. Troy, New York, USA: Association for Computing Machinery, 2017. https://doi.org/10.1145/3091478.3091523. Cite
Horne, Benjamin D., and Sibel Adali. “This Just In: Fake News Packs A Lot In Title, Uses Simpler, Repetitive Content in Text Body, More Similar To Satire Than Real News.” In Eleventh International AAAI Conference on Web and Social Media, 2017. https://www.aaai.org/ocs/index.php/ICWSM/ICWSM17/paper/view/15772. Cite
Shu, Kai, Suhang Wang, and Huan Liu. “Exploiting Tri-Relationship for Fake News Detection.” undefined, 2017. https://www.semanticscholar.org/paper/Exploiting-Tri-Relationship-for-Fake-News-Detection-Shu-Wang/8fd1d13e18c5ef8b57296adab6543cb810c36d81. Cite
Granik, Mykhailo, and Volodymyr Mesyura. “Fake News Detection Using Naive Bayes Classifier.” In 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), 900–903, 2017. https://doi.org/10.1109/UKRCON.2017.8100379. Cite
Tacchini, Eugenio, Gabriele Ballarin, Marco L. Della Vedova, Stefano Moret, and Luca de Alfaro. “Some Like It Hoax: Automated Fake News Detection in Social Networks.” ArXiv:1704.07506 [Cs], 2017. http://arxiv.org/abs/1704.07506. Cite
Rochlin, Nick. “Fake News: Belief in Post-Truth.” Library Hi Tech 35, no. 3 (2017): 386–92. https://doi.org/10.1108/LHT-03-2017-0062. Cite
Klein, David, and Joshua Wueller. “Fake News: A Legal Perspective.” SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, 2017. https://papers.ssrn.com/abstract=2958790. Cite
Ahmed, Hadeer, Issa Traore, and Sherif Saad. “Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques.” In Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments, edited by Issa Traore, Isaac Woungang, and Ahmed Awad, 127–38. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-69155-8_9. Cite
Nielsen, Rasmus Kleis, and Lucas Graves. “‘News You Don’t Believe’: Audience Perspectives on Fake News.” Reuters Institute for the Study of Journalism Factsheets. Reuters Institute for the Study of Jounalism, 2017. https://ora.ox.ac.uk/objects/uuid:6eff4d14-bc72-404d-b78a-4c2573459ab8. Cite
Potthast, Martin, Johannes Kiesel, Kevin Reinartz, Janek Bevendorff, and Benno Stein. “A Stylometric Inquiry into Hyperpartisan and Fake News.” ArXiv:1702.05638 [Cs], 2017. http://arxiv.org/abs/1702.05638. Cite
Pérez-Rosas, Verónica, Bennett Kleinberg, Alexandra Lefevre, and Rada Mihalcea. “Automatic Detection of Fake News.” ArXiv:1708.07104 [Cs], 2017. http://arxiv.org/abs/1708.07104. Cite
Ruchansky, Natali, Sungyong Seo, and Yan Liu. “CSI: A Hybrid Deep Model for Fake News Detection.” In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 797–806. CIKM ’17. Singapore, Singapore: Association for Computing Machinery, 2017. https://doi.org/10.1145/3132847.3132877. Cite
Wang, William Yang. “‘Liar, Liar Pants on Fire’: A New Benchmark Dataset for Fake News Detection.” ArXiv:1705.00648 [Cs], 2017. http://arxiv.org/abs/1705.00648. Cite
Kucharski, Adam. “Study Epidemiology of Fake News.” Nature 540, no. 7634 (2016): 525–525. https://doi.org/10.1038/540525a. Cite