Distinguishing the binary of news – fake and real: The illusory truth effect

References

1. Allcott, H., and Gentzkow, M.. ( 2017;), ‘ Social media and fake news in the 2016 election. ’, Journal of Economic Perspectives, 31:2, pp. 211–36.
   [Google Scholar]
2. Amador, J.,, Oehmichen, A., and Molina-Solana, M.. ( 2017;), ‘ Characterizing political fake news in Twitter by its meta-data. ’, arXiv:1712.05999 , https://arxiv.org/abs/1712.05999. Accessed 10 December 2020.
3. Bakir, V., and McStay, A.. ( 2018;), ‘ Fake news and the economy of emotions: Problems, causes, solutions. ’, Digital Journalism, 6:2, pp. 154–75.
   [Google Scholar]
4. Begg, I. M.,, Anas, A., and Farinacci, S.. ( 1992;), ‘ Dissociation of processes in belief: Source recollection, statement familiarity, and the illusion of truth. ’, Journal of Experimental Psychology: General, 121:4, pp. 446–58.
   [Google Scholar]
5. Benham, J.. ( 2020;), ‘ Best practices for journalistic balance: Gatekeeping, imbalance and the fake news era. ’, Journalism Practice, 14:7, pp. 791–811.
   [Google Scholar]
6. Bentler, P. M.. ( 1990;), ‘ Comparative fit indexes in structural models. ’, Psychological Bulletin, 107:2, pp. 238–46.
   [Google Scholar]
7. Berghel, H.. ( 2017;), ‘ Lies, damn lies, and fake news. ’, Computer, 50:2, pp. 80–85.
   [Google Scholar]
8. Berkowitz, D., and Schwartz, D. A.. ( 2016;), ‘ Miley, CNN and The Onion: When fake news becomes realer than real. ’, Journalism Practice, 10:1, pp. 1–17.
   [Google Scholar]
9. Bessi, A., and Ferrara, E.. ( 2016;), ‘ Social bots distort the 2016 US Presidential election online discussion. ’, First Monday, 21:11, n.pag.
   [Google Scholar]
10. Carlson, M.. ( 2018;), ‘ The information politics of journalism in a post-truth age. ’, Journalism Studies, 19:13, pp. 1879–88.
    [Google Scholar]
11. De Cock Buning, M. de. ( 2018;), ‘ A multi-dimensional approach to disinformation: Report of the independent high level group on fake news and online disinformation. ’, Luxembourg:: Publications Office of the EU;, https://op.europa.eu/en/publication-detail/-/publication/6ef4df8b-4cea-11e8-be1d-01aa75ed71a1. Accessed 16 July 2020.
    [Google Scholar]
12. Conroy, N. J.,, Rubin, V. L., and Chen, Y.. ( 2015;), ‘ Automatic deception detection: Methods for finding fake news. ’, Proceedings of the Association for Information Science and Technology, 52:1, pp. 1–4.
    [Google Scholar]
13. Coppock, A.. ( 2019;), ‘ Generalizing from survey experiments conducted on Mechanical Turk: A replication approach. ’, Political Science Research and Methods, 7:3, pp. 613–28.
    [Google Scholar]
14. Day, A., and Thompson, E.. ( 2012;), ‘ Live from New York, it’s the fake news! Saturday Night Live and the (non)politics of parody. ’, Popular Communication, 10:1&2, pp. 170–82.
    [Google Scholar]
15. Dougal, S.,, Phelps, E. A., and Davachi, L. J.. ( 2007;), ‘ The role of medial temporal lobe in item recognition and source recollection of emotional stimuli. ’, Cognitive Affective & Behavioral Neuroscience, 7:3, pp. 233–42.
    [Google Scholar]
16. Douglas, K.,, Ang, C., and Deravi, F.. ( 2017;), ‘ Farewell to truth? Conspiracy theories and fake news on social media. ’, Psychologist, 30, pp. 36–42.
    [Google Scholar]
17. Elyashar, A.,, Bendahan, J., and Puzis, R.. ( 2017;), ‘ Is the online discussion manipulated? Quantifying the online discussion authenticity within online social media. ’, arXiv:1708.02763 , https://arxiv.org/abs/1708.02763. Accessed 10 December 2020.
18. Fazio, L. K.,, Brashier, N. M.,, Payne, B. K., and Marsh, E. J.. ( 2015;), ‘ Knowledge does not protect against illusory truth. ’, Journal of Experimental Psychology: General, 144:5, pp. 993–1002.
    [Google Scholar]
19. Friggeri, A.,, Adamic, L.,, Eckles, D., and Cheng, J.. ( 2014;), ‘ Rumor cascades. ’, 8th International Association for the Advancement of Artifical Intelligence Conference on Weblogs and Social Media, Ann Arbor, MI, USA, 1–4 June.
    [Google Scholar]
20. Gaziano, C., and McGrath, K.. ( 1986;), ‘ Measuring the concept of credibility. ’, Journalism Quarterly, 63:3, pp. 451–62.
    [Google Scholar]
21. Gelfert, A. J. I. L.. ( 2018;), ‘ Fake news: A definition. ’, Informal Logic, 38:1, pp. 84–117.
    [Google Scholar]
22. Gerhart, N.,, Torres, R., and Negahban, A.. ( 2017;), ‘ Combatting fake news: An investigation of individuals’ information verification behaviors on social networking sites. ’, Twenty-third Americas Conference on Information Systems, Boston, MA, USA, 10–12 August.
    [Google Scholar]
23. Gramlich, J.. ( 2020;), ‘ Q&A: How Pew Research Center evaluated Americans’ trust in 30 news sources. ’, Pew Research , https://www.pewresearch.org/fact-tank/2020/01/24/qa-how-pew-research-center-evaluated-americans-trust-in-30-news-sources/. Accessed 16 July 2020.
24. Hackett, R. A.. ( 1984;), ‘ Decline of a paradigm? Bias and objectivity in news media studies. ’, Critical Studies in Media Communication, 1:3, pp. 229–59.
    [Google Scholar]
25. Hardalov, M.,, Koychev, I., and Nakov, P.. ( 2016;), ‘ In search of credible news. ’, International Conference on Artificial Intelligence: Methodology, Systems, and Applications, Varna, Bulgaria, 7–10 September.
    [Google Scholar]
26. Hasher, L.,, Goldstein, D., and Toppino, T. J.. ( 1977;), ‘ Frequency and the conference of referential validity. ’, Journal of Verbal Learning and Verbal Behavior, 16:1, pp. 107–12.
    [Google Scholar]
27. Henkel, L. A., and Mattson, M. E.. ( 2011;), ‘ Reading is believing: The truth effect and source credibility. ’, Consciousness and Cognition, 20:4, pp. 1705–21.
    [Google Scholar]
28. Hindman, M., and Barash, V.. ( 2018;), ‘ Disinformation, “fake news” and influence campaigns on Twitter. ’, Issue Lab , https://www.issuelab.org/resources/33163/33163.pdf. Accessed 30 January 2019.
29. Horne, B. D., and Adali, S.. ( 2017;), ‘ This just in: Fake news packs a lot in title, uses simpler, repetitive content in text body, more similar to satire than real news. ’, 11th International Association for the Advancement of Artificial Intelligence Conference on Web and Social Media, Montréal, Québec, Canada, 16–18 May.
    [Google Scholar]
30. Hovland, C. I., and Weiss, W.. ( 1951;), ‘ The influence of source credibility on communication effectiveness. ’, Public Opinion Quarterly, 15:4, pp. 635–50.
    [Google Scholar]
31. Iyengar, S.. ( 1990;), ‘ The accessibility bias in politics: Television news and public opinion. ’, International Journal of Public Opinion Research, 2:1, pp. 1–15.
    [Google Scholar]
32. Jones, J. P., and Baym, G.. ( 2010;), ‘ A dialogue on satire news and the crisis of truth in postmodern political television. ’, Journal of Communication Inquiry, 34:3, pp. 278–94.
    [Google Scholar]
33. Jong, W., and Dückers, M. L.. ( 2016;), ‘ Self-correcting mechanisms and echo-effects in social media: An analysis of the “gunman in the newsroom” crisis. ’, Computers in Human Behavior, 59, pp. 334–41.
    [Google Scholar]
34. Kalsnes, B.. ( 2018;), ‘ Fake news. ’, in J. F. Nussbaum. (ed.), Oxford Research Encyclopaedia of Communication, New York:: Oxford University Press;.
    [Google Scholar]
35. Kaminska, I.. ( 2018;), ‘ A lesson in fake news from the info-wars of ancient Rome. ’, Financial Times, https://www.ft.com/content/aaf2bb08-dca2-11e6-86ac-f253db7791c6. Accessed 31 January 2019.
    [Google Scholar]
36. Kang, H.,, Bae, K.,, Zhang, S., and Sundar, S. S.. ( 2011;), ‘ Source cues in online news: Is the proximate source more powerful than distal sources?. ’, Journalism & Mass Communication Quarterly, 88:4, pp. 719–36.
    [Google Scholar]
37. Kaplan, D.. ( 2000), Structural Equation Modeling: Foundations and Extensions, vol. 10, Thousand Oaks, CA:: Sage Publications;.
    [Google Scholar]
38. Kim, J. W.. ( 2018;), ‘ They liked and shared: Effects of social media virality metrics on perceptions of message influence and behavioral intentions. ’, Computers in Human Behavior, 84, pp. 153–61.
    [Google Scholar]
39. Klein, D., and Wueller, J.. ( 2017;), ‘ Fake news: A legal perspective. ’, Journal of Internet Law, 20:10, pp. 6–13.
    [Google Scholar]
40. Kline, P.. ( 1979), Psychometrics and Psychology, Cambridge, MA:: Academic Press;.
    [Google Scholar]
41. LaMarre, H. L.,, Landreville, K. D., and Beam, M. A.. ( 2009;), ‘ The irony of satire: Political ideology and the motivation to see what you want to see in The Colbert Report. ’, The International Journal of Press/Politics, 14:2, pp. 212–31.
    [Google Scholar]
42. Lazer, D. M.,, Baum, M. A.,, Benkler, Y.,, Berinsky, A. J.,, Greenhill, K. M.,, Menczer, F., and Rothschild, D.. ( 2018;), ‘ The science of fake news. ’, Science, 359:6380, pp. 1094–96.
    [Google Scholar]
43. McClain, C. R.. ( 2017;), ‘ Practices and promises of Facebook for science outreach: Becoming a “nerd of trust”. ’, PLoS Biology, 15:6, n.pag.
    [Google Scholar]
44. Meyer, P.. ( 1988;), ‘ Defining and measuring credibility of newspapers: Developing an index. ’, Journalism & Mass Communication Quarterly, 65:3, pp. 567–74.
    [Google Scholar]
45. Mitchell, K. J., and Johnson, M. K.. ( 2009;), ‘ Source monitoring 15 years later: What have we learned from fMRI about the neural mechanisms of source memory?. ’, Psychological Bulletin, 135:4, pp. 638–77.
    [Google Scholar]
46. Mullinix, K. J.,, Leeper, T. J.,, Druckman, J. N., and Freese, J.. ( 2015;), ‘ The generalizability of survey experiments. ’, Journal of Experimental Political Science, 2:2, pp. 109–38.
    [Google Scholar]
47. Newhagen, J., and Nass, C.. ( 1989;), ‘ Differential criteria for evaluating credibility of newspapers and TV news. ’, Journalism and Mass Communication Quarterly, 66:2, pp. 277–84.
    [Google Scholar]
48. Pennycook, G.,, Bear, A.,, Collins, E. T., and Rand, D. G.. ( 2020;), ‘ The implied truth effect: Attaching warnings to a subset of fake news headlines increases perceived accuracy of headlines without warnings. ’, Management Science, 66:11, pp. 4944–57.
    [Google Scholar]
49. Pennycook, G.,, Cannon, T. D., and Rand, D. G.. ( 2018;), ‘ Prior exposure increases perceived accuracy of fake news. ’, Journal of Experimental Psychology: General, 147:12, pp. 1865–80.
    [Google Scholar]
50. Pennycook, G., and Rand, D. G.. ( 2019;), ‘ Fighting misinformation on social media using crowdsourced judgments of news source quality. ’, Proceedings of the National Academy of Sciences, 116:7, pp. 2521–26.
    [Google Scholar]
51. Preacher, K. J., and Hayes, A. F.. ( 2008;), ‘ Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. ’, Behavior Research Methods, 40:3, pp. 879–91.
    [Google Scholar]
52. Rubin, V.,, Conroy, N.,, Chen, Y., and Cornwell, S.. ( 2016;), ‘ Fake news or truth? Using satirical cues to detect potentially misleading news. ’, Proceedings of the Second Workshop on Computational Approaches to Deception Detection, San Diego, CA, June.
    [Google Scholar]
53. Rubin, V. L.,, Chen, Y., and Conroy, N. J.. ( 2015;), ‘ Deception detection for news: Three types of fakes. ’, Proceedings of the 78th ASIS&T Annual Meeting: Information Science with Impact: Research in and for the Community, St. Louis, MO, 6–10 November.
    [Google Scholar]
54. Schreiber, J. B.,, Nora, A.,, Stage, F. K.,, Barlow, E. A., and King, J.. ( 2006;), ‘ Reporting structural equation modeling and confirmatory factor analysis results: A review. ’, The Journal of Educational Research, 99:6, pp. 323–38.
    [Google Scholar]
55. Schwartz, M.. ( 1982;), ‘ Repetition and rated truth value of statements. ’, The American Journal of Psychology, 95:3, pp. 393–407.
    [Google Scholar]
56. Shao, C.,, Ciampaglia, G. L.,, Varol, O.,, Yang, K.-C.,, Flammini, A., and Menczer, F.. ( 2018;), ‘ The spread of low-credibility content by social bots. ’, Nature Communications, 9:4787, pp. 1–9.
    [Google Scholar]
57. Sharma, K.,, Qian, F.,, Jiang, H.,, Ruchansky, N.,, Zhang, M., and Liu, Y.. ( 2019;), ‘ Combating fake news: A survey on identification and mitigation techniques. ’, ACM Transactions on Intelligent Systems and Technology (TIST), 10:3, pp. 1–42.
    [Google Scholar]
58. Shearer, K. E. M. E.. ( 2018;), ‘ News use across social media platforms 2018. ’, Pew Research Centre , http://www.journalism.org/2018/09/10/news-use-across-social-media-platforms-2018/. Accessed 31 January 2019.
59. Shin, J.,, Jian, L.,, Driscoll, K., and Bar, F.. ( 2018;), ‘ The diffusion of misinformation on social media: Temporal pattern, message, and source. ’, Computers in Human Behavior, 83, pp. 278–87.
    [Google Scholar]
60. Shu, K.,, Sliva, A.,, Wang, S.,, Tang, J., and Liu, H.. ( 2017;), ‘ Fake news detection on social media: A data mining perspective. ’, The Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining Explorations Newsletter, 19:1, pp. 22–36.
    [Google Scholar]
61. Simpson, P.. ( 2003), On the Discourse of Satire: Towards a Stylistic Model of Satirical Humour, vol. 2, Amsterdam:: John Benjamins Publishing;.
    [Google Scholar]
62. Steinberg, L.. ( 2017;), ‘ Infographic: Beyond fake news – 10 types of misleading news – thirteen languages. ’, Eavi , https://eavi.eu/beyond-fake-news-10-types-misleading-info/. Accessed 31 January 2019.
63. Sterrett, D.,, Malato, D.,, Benz, J.,, Kantor, L.,, Tompson, T.,, Rosenstiel, T., and Loker, K.. ( 2019;), ‘ Who shared it? Deciding what news to trust on social media. ’, Digital Journalism, 7:6, pp. 1–19.
    [Google Scholar]
64. Sundar, S. S.. ( 1999;), ‘ Exploring receivers’ criteria for perception of print and online news. ’, Journalism & Mass Communication Quarterly, 76:2, pp. 373–86.
    [Google Scholar]
65. Sundar, S. S.. ( 2008;), ‘ The MAIN model: A heuristic approach to understanding technology effects on credibility. ’, in M. J. Metzger, and A. J. Flanagin. (eds), Digital Media, Youth, and Credibility, Cambridge, MA:: The MIT Press;, pp. 73–100.
    [Google Scholar]
66. Tandoc, E. C. Jr., ( 2019;), ‘ Tell me who your sources are: Perceptions of news credibility on social media. ’, Journalism Practice, 13:2, pp. 178–90.
    [Google Scholar]
67. Tandoc, E. C. Jr,, Lim, Z. W., and Ling, R.. ( 2018;), ‘ Defining “fake news”: A typology of scholarly definitions. ’, Digital Journalism, 6:2, pp. 137–53.
    [Google Scholar]
68. Teel, C., and Verran, J. A.. ( 1991;), ‘ Focus on psychometrics. Factor comparison across studies. ’, Research in Nursing & Health, 14:1, pp. 67–72.
    [Google Scholar]
69. Thornton, B.. ( 2000;), ‘ The moon hoax: Debates about ethics in 1835 New York newspapers. ’, Journal of Mass Media Ethics, 15:2, pp. 89–100.
    [Google Scholar]
70. Tsur, O.,, Davidov, D., and Rappoport, A.. ( 2010;), ‘ ICWSM – a great catchy name: Semi-supervised recognition of sarcastic sentences in online product reviews. ’, Fourth International AAAI Conference on Weblogs and Social Media, George Washington University;, Washington, DC, 23–26 May.
    [Google Scholar]
71. Turner, N. E.. ( 1998;), ‘ The effect of common variance and structure pattern on random data eigenvalues: Implications for the accuracy of parallel analysis. ’, Educational and Psychological Measurement, 58:4, pp. 541–68.
    [Google Scholar]
72. Vargo, C. J.,, Guo, L., and Amazeen, M. A.. ( 2018;), ‘ The agenda-setting power of fake news: A big data analysis of the online media landscape from 2014 to 2016. ’, New Media & Society, 20:5, pp. 2028–49.
    [Google Scholar]
73. Vosoughi, S.,, Roy, D., and Aral, S.. ( 2018;), ‘ The spread of true and false news online. ’, Science, 359:6380, pp. 1146–51.
    [Google Scholar]
74. Wagner, M. C., and Boczkowski, P. J.. ( 2019;), ‘ The reception of fake news: The interpretations and practices that shape the consumption of perceived misinformation. ’, Digital Journalism, 7:7, pp. 870–85.
    [Google Scholar]
75. Wardle, C.. ( 2017;), ‘ Fake news: It’s complicated. ’, First Draft, https://medium.com/1st-draft/fake-news-its-complicated-d0f773766c79. Accessed 31 January 2019.
    [Google Scholar]
76. Wardle, C., and Derakhshan, H.. ( 2017;), ‘ Information disorder: Toward an interdisciplinary framework for research and policy making. ’, Council of Europe Report, 27, pp. 1–107.
    [Google Scholar]
77. Westerståhl, J.. ( 1983;), ‘ Objective news reporting: General premises. ’, Communication research, 10:3, pp. 403–24.
    [Google Scholar]
78. Wong, J. T.,, Gallo, D. A., and Knight, B. G.. ( 2018;), ‘ Activating aging stereotypes increases source recollection confusions in older adults: Effect at encoding but not retrieval. ’, The Journals of Gerontology Series B, 74:4, pp. 633–41.
    [Google Scholar]
79. Yang, F.,, Mukherjee, A., and Dragut, E.. ( 2017;), ‘ Satirical news detection and analysis using attention mechanism and linguistic features. ’, arXiv:1709.01189 , https://arxiv.org/abs/1709.01189. Accessed 10 December 2020.
80. Zajonc, R. B.. ( 2001;), ‘ Mere exposure: A gateway to the subliminal. ’, Current Directions in Psychological Science, 10:6, pp. 224–28.
    [Google Scholar]
81. Zhang, C.,, Gupta, A.,, Kauten, C.,, Deokar, A. V., and Qin, X.. ( 2019;), ‘ Detecting fake news for reducing misinformation risks using analytics approaches. ’, European Journal of Operational Research, 279:3, pp. 1036–52.
    [Google Scholar]
82. Wu, Yanfang. ( 2022;), ‘ Distinguishing the binary of news – fake and real: The illusory truth effect. ’, Journal of Applied Journalism & Media Studies, 11:3, pp. 287–308, https://doi.org/10.1386/ajms_00042_1
    [Google Scholar]