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Article

People’s understanding of the concept of misinformation

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Pages 1239-1258 | Received 10 Jan 2022, Accepted 15 Feb 2022, Published online: 18 Mar 2022

References

  • Ajaka, N., E. Samuels, and G. Kessler. 2019. “Seeing isn’t Believing: The Fact Checker’s Guide to Manipulated Video.” The Washington Post [online]. Accessed 10 December 2021. https://www.washingtonpost.com/graphics/2019/politics/fact-checker/manipulated-video-guide/ 
  • Al Khaja, K., A. Alkhaja, and R. Sequeira. 2018. “Drug Information, Misinformation, and Disinformation on Social Media: A Content Analysis Study.” Journal of Public Health Policy 39 (3): 343–357. doi:10.1057/s41271-018-0131-2.
  • Allington, D., and N. Dhavan. 2020. The Relationship between Conspiracy Beliefs and compliance with Public Health Guidance with Regard to COVID-19. London: Centre for Countering Digital Hate.
  • Andersen, K. G., A. Rambaut, W. I. Lipkin, E. C. Holmes, and R. F. Garry. 2020. “The Proximal Origin of SARS-CoV-2.” Nature Medicine 26 (4): 450–452.
  • Avital, M., A. Dennis, and A. Baiyere. 2020. “Fake News: What is It and Why Does It Matter?” Academy of Management Annual Meeting Proceedings. doi:10.5465/AMBPP.2020.20014symposium.
  • Axt, J., M. Landau, and A. Kay. 2020. “The Psychological Appeal of Fake-News Attributions.” Psychological Science 31 (7): 848–857. doi:10.1177/0956797620922785.
  • Banerjee, A., A. C. Doxey, K. Mossman, and A. T. Irving. 2021. “Unraveling the Zoonotic Origin and Transmission of SARS-CoV-2.” Trends in Ecology & Evolution 36 (3): 180–184. doi:10.1016/j.tree.2020.12.002.
  • BBC. 2021. “Beyond Fake News” [online]. BBC. Accessed 20 December 2021. https://www.bbc.co.uk/beyondfakenews/fakenewsdefinitions/
  • Bode, L., and E. Vraga. 2015. “In Related News, That Was Wrong: The Correction of Misinformation through Related Stories Functionality in Social Media.” Journal of Communication 65 (4): 619–638. doi:10.1111/jcom.12166.
  • Brotherton, R., and K. Son. 2021. “Metacognitive Labelling of Contentious Claims: Facts, Opinions, and Conspiracy Theories.” Frontiers in Psychology 12 (644657): 1–12.
  • Burki, T. 2020. “The Origin of SARS-CoV-2.” The Lancet. Infectious Diseases 20 (9): 1018–1019. doi:10.1016/S1473-3099(20)30641-1.
  • Calisher, C., D. Carroll, R Colwell, R. B. Corley, P. Daszak C. Drosten L. Enjuanes. et al. 2020. “Statement in Support of the Scientists, Public Health Professionals, and Medical Professionals of China Combatting COVID-19.” The Lancet 395 (10226): e42–e43. doi:10.1016/S0140-6736(20)30418-9.
  • Cann, D., and D. Katz. 2005. “Habitual Acceptance of Misinformation: Examination of Individual Differences and Source Attributions.” Memory & Cognition 33 (3): 405–417. doi:10.3758/bf03193059.
  • Casadevall, A., S. R. Weiss, and M. J. Imperiale. 2021. “Can Science Help Resolve the Controversy on the Origins of the SARS-CoV-2 Pandemic?” Mbio 12 (4): e01948-21. doi:10.1128/mBio.01948-21.
  • Chen, X., and S.-C. J. Sin. 2013. “Misinformation What of It?’ Motivations and Individual Differences in Misinformation Sharing on Social Media.” American Society for Information Science and Technology 50 (1): 1–4.
  • Cohen, J. 1988. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. New York: Academic Press.
  • Cummins, E. 2021. “The Danger of the New Skepticism.” Vox [online]. Accessed 10 December 2021. https://www.vox.com/the-highlight/22291183/skeptic-covid-vaccine-climate-change-denial-election-fraud
  • Decroly, E., J. M. Claverie, and B. Canard. 2021. “The WHO Mission Report Struggles to Trace the Origins of the SARS-CoV-2 Epidemic.” Virologie (Montrouge, France) 25 (3): 148–152. doi:10.1684/vir.2021.0901.
  • Deigin, Y., and R. Segreto. 2021. “SARS‐CoV‐2′ s Claimed Natural Origin is Undermined by Issues with Genome Sequences of Its Relative Strains: Coronavirus Sequences RaTG13, MP789 and RmYN02 Raise Multiple Questions to Be Critically Addressed by the Scientific Community.” BioEssays 43 (7): 2100015. doi:10.1002/bies.202100015.
  • Desai, S., T. Pilditch, and J. Madsen. 2020. “The Rational Continued Influence of Misinformation.” Cognition 205: 104453. doi:10.1016/j.cognition.2020.104453.
  • Desai, S., and S. Reimers. 2019. “Comparing the Use of Open and Closed Questions for Web-Based Measures of the Continued Influence Effect.” Behavior Research Methods 51 (3): 1426–1440. doi:10.3758/s13428-018-1066-z.
  • Desilver, D. 2018. “Q&A: Telling the Difference Between Factual and Opinion Statements in the News.” Pew Research Centre [online]. Accessed 16 December 2021. https://www.pewresearch.org/fact-tank/2018/06/18/qa-telling-the-difference-between-factual-and-opinion-statements-in-the-news/
  • Devlin, H. 2017. ‘Exaggerations’ threaten public trust in science, says leading statistician. The Guardian [online]. Accessed 17 December 2021. https://www.theguardian.com/science/2017/jun/28/exaggerations-threaten-public-trust-in-science-leading-statistician-david-spiegelhalter
  • Domingo, J. L. 2021. “What we Know and What we Need to Know about the Origin of SARS-CoV-2 .” Environmental Research 200: 111785. doi:10.1016/j.envres.2021.111785.
  • Dryhurst, S., C. R. Schneider, J. Kerr, A. L. J. Freeman, G. Recchia, A. M. van der Bles, D. Spiegelhalter, and S. van der Linden. 2020. “Risk Perceptions of COVID-19 around the World.” Journal of Risk Research 23 (7–8): 994–1006. doi:10.1080/13669877.2020.1758193.
  • Duffy, A., E. Tandoc, and R. Ling. 2020. “Too Good to Be True, Too Good Not to Share: The Social Utility of Fake News.” Information, Communication & Society 23 (13): 1965–1979. doi:10.1080/1369118X.2019.1623904.
  • Dyer, O. 2021. “Covid-19: China Pressured WHO Team to Dismiss Lab Leak Theory, Claims Chief Investigator.” BMJ 374 (202): 1–2.
  • Effron, D., and M. Raj. 2020. “Misinformation and Morality: Encountering Fake-News Headlines Makes Them Seem Less Unethical to Publish and Share .” Psychological Science 31 (1): 75–87. doi:10.1177/0956797619887896.
  • Farhall, K., A. Carson, S. Wright, A. Gibbons, and W. Lukamto. 2019. “Political Elites’ Use of Fake News Discourse across Communications Platforms.” International Journal of Communication 13: 4353–5375.
  • Fedyukovsky, A. 2020. “False Messages in Scientific Publics Using the Example of Russian Social Network Vkontakte.” E3S Web of Conferences 164 (12005): 1–7. doi:10.1051/e3sconf/202016412005.
  • Ferreira, C., J. Robertson, and M. Kirsten. 2019. “The Truth (as I See It): Philosophical Considerations Influencing a Typology of Fake News.” Journal of Product & Brand Management 29 (2): 150–158. doi:10.1108/JPBM-12-2018-2149.
  • Flintham, M., Karnerm C. Bachour, K. Creswick, H. Gupta, and S. Moran. 2018. “Falling for Fake News: Investigating the Consumption of News via Social Media.” Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. doi:10.1145/3173574.3173950.
  • Flynn, D. J., B. Nyhan, and J. Reifler. 2020. “The Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs about Politics.”
  • Freeman, D., F. Waite, L. Rosebrock, A. Petit, C. Causier, A. East, … S. Lambe. 2020. “Coronavirus Conspiracy Beliefs, Mistrust, and Compliance with Government Guidelines in England.” Psychological Medicine 52 (2): 251–263.
  • Fung, B. 2020. “Social media bet on labels to combat election misinformation. Trump proved it’s not enough.” CNN Business [online]. Accessed 20 December 2021. https://edition.cnn.com/2020/12/08/tech/facebook-twitter-election-labels-trump/index.html
  • Gelfert, A. 2018. “Fake News: A Definition.” Informal Logic 38 (1): 84–117. doi:10.22329/il.v38i1.5068.
  • Godlee, F. 2021. “Covid 19: We Need a Full Open Independent Investigation into Its Origins.” BMJ 374: n1721. doi:10.1136/bmj.n1721.
  • Godler, Y. 2020. “Post-Post-Truth: An Adaptionist Theory of Journalistic Verism.” Communication Theory 30 (2): 169–187. doi:10.1093/ct/qtz031.
  • Graham, C. Forthcoming. “Measuring Misperceptions.” American Political Science Review.
  • Grant, M. 2004. Greek and Roman Historians: Information and Misinformation. London: Routledge.
  • Guastella, G. 2017. Word of Mouth: Fama and Its Personifications in Art and Literature in Ancient Rome. Oxford: Oxford University Press.
  • Guo, B., Y. Ding, L. Yao, Y. Liang, and Z. Yu. 2019. “The Future of Misinformation Detection: New Perspectives and Trends.” Journal of the ACM 1 (1): 1–23.
  • Haiden, L., and J. Althuis. 2018. “The Definitional Challenges of Fake News.”
  • Hameleers, M., T. Van der Meer, and R. Vliegenthart. 2021. “Civilised Truths, Hateful Lies? Incivility and Hate Speech in False Information - Evidence from Fact-Checked Statements in the US.” Information, Communication and Society 1–18. doi:10.1080/1369118X.2021.1874038.
  • Han, J., X. Zhang, S. He, and P. Jia. 2020. “Can the Coronavirus Disease Be Transmitted from Food? A Review of Evidence, Risks, Policies and Knowledge Gaps.” Environmental Chemistry Letters 19 (1): 5–16.
  • Hartley, K., and V. Khuong. 2020. “Fighting Fake News in the COVID-19 Era: Policy Insights from an Equilibrium Model.” Policy Sciences 53 (4): 735–758. doi:10.1007/s11077-020-09405-z.
  • He, S., W. Shao, and J. Han. 2021. “Have Artificial Lighting and Noise Pollution Caused Zoonosis and the COVID-19 Pandemic? A Review.” Environmental Chemistry Letters 19 (6): 4021–4030. doi:10.1007/s10311-021-01291-y.
  • Hendricks, V., and M. Vestergaard. 2018. Reality Lost: Markets of Attention, Misinformation and Manipulation. UK: Springer.
  • Herr, O. 2021. “Young People and Vaccine Hesitancy – What Role Does Social Media Play?” British Science Association [online]. Accessed 21 December 2021. https://www.britishscienceassociation.org/blog/young-people-and-vaccine-hesitancy-what-role-does-social-media-play
  • Hill, T. 2019. “The Dark Side of Information Proliferation.” Perspectives on Psychological Science 14 (3): 323–330.
  • Holmes, E. C., S. A. Goldstein, A. L. Rasmussen, D. L. Robertson, A. Crits-Christoph, J. O. Wertheim, S. J. Anthony, et al. 2021. “The Origins of SARS-CoV-2: A Critical Review.” Cell 184 (19): 4848–4856.
  • Hu, B., H. Guo, P. Zhou, and Z. L. Shi. 2021. “Characteristics of SARS-CoV-2 and COVID-19.” Nature Reviews Microbiology 19 (3): 141–154. doi:10.1038/s41579-020-00459-7.
  • Huang, Y., and W. Wang. 2020. “When a Story Contradicts: Correcting Health Misinformation on Social Media through Different Message Formats and Mechanisms.” Information, Communication & Society 1–18. doi:10.1080/1369118X.2020.1851390.
  • Humprecht, E., F. Esser, and P. van Aelst. 2020. “Resilience to Online Disinformation: A Framework for Cross-National Comparative Research.” The International Journal of Press/Politics 25 (3): 493–516. doi:10.1177/1940161219900126.
  • Ireton, C., and J. Posetti. 2018. Journalism, ‘Fake News’ & Disinformation: Handbook for Journalism Education and Training. France: UNESCO.
  • Jahng, R., H. Lee, and A. Rochadiat. 2020. “Public Relations Practitioners’ Management of Fake News: Exploring Key Elements and Acts of Information Authentication.” Public Relations Review 46 (2): 101907. doi:10.1016/j.pubrev.2020.101907.
  • Jo, W. K., E. F. de Oliveira‐Filho, A. Rasche, A. D. Greenwood, K. Osterrieder, and J. F. Drexler. 2021. “Potential Zoonotic Sources of SARS-CoV-2 infections.” Transboundary and Emerging Diseases 68 (4): 1824–1834. doi:10.1111/tbed.13872.
  • Kahan, D. 2017. “Misconceptions, Misinformation, and the Logic of Identity-Protective Cognition” Cultural Cognition Project Working Paper Series No. 164. SSRN. doi:10.2139/ssrn.2973067.
  • Karlova, N., and J. Lee. 2011. “Notes from the Underground City of Disinformation: A Conceptual Investigation.” Proceedings of the American Society for Information Science, 1–9.
  • Kirkpatrick, A. 2021. “The Spread of Fake Science: Lexical Concreteness, Proximity, Misinformation Sharing and the Moderating Role of Subjective Knowledge.” Public Understanding of Science 30 (1): 55–74.
  • Krause, N., I. Freiling, B. Beets, and D. Brossard. 2020. “Fact-Checking as Risk Communication: The Multi-Layered Risk of Misinformation in Times of COVID-19.” Journal of Risk Research 23 (7-8): 1052–1059. doi:10.1080/13669877.2020.1756385.
  • Latinne, A., B. Hu, K. J. Olival, G. Zhu, L. Zhang, H. Li, A. A. Chmura, et al. 2020. “Origin and Cross-Species Transmission of Bat Coronaviruses in China.” Nature Communications 11 (1): 1–15. doi:10.1038/s41467-020-17687-3.
  • Lau, Susanna K. P., Hayes K. H. Luk, Antonio C. P. Wong, Kenneth S. M. Li, Longchao Zhu, Zirong He, Joshua Fung, Tony T. Y. Chan, Kitty S. C. Fung, and Patrick C. Y. Woo. 2020. “Possible Bat Origin of Severe Acute Respiratory Syndrome Coronavirus 2.” Emerging Infectious Diseases 26 (7): 1542–1547. doi:10.3201/eid2607.200092.
  • Levi, L. 2018. “Real ‘Fake News’ and Fake ‘Fake News.” First Amendment Law Review 16: 232–327.
  • Lewandowsky, S., U. Ecker, C. Seifert, N. Schwarz, and J. Cook. 2012. “Misinformation and It’s Correction: Continued Influence and Successful Debiasing.” Psychological Science 13 (3): 106–131.
  • Lewandowsky, S., and S. van der Linden. 2021. “Countering Misinformation and Fake News through Inoculation and Prebunking.” European Review of Social Psychology 32 (2): 348–384. doi:10.1080/10463283.2021.1876983.
  • Lytras, S., J. Hughes, D. Martin, A. de Klerk, R. Lourens, S. Pond, … D. L. Robertson. 2022. “Exploring the Natural Origins of SARS-CoV-2 in the Light of Recombination.” Genome Biology and Evolution 14 (2).
  • Macron, A., B. Murdoch, and T. Caulfield. 2017. “Fake News Portrayals of Stem Cells and Stem Cell Research.” Regenerative Medicine 12 (7): 765–775. doi:10.2217/rme-2017-0060.
  • Malaiyan, J., S. Arumugam, K. Mohan, and G. Gomathi Radhakrishnan. 2021. “An Update on the Origin of SARS-CoV-2: Despite closest identity, bat (RaTG13) and pangolin derived coronaviruses varied in the critical binding site and O-linked glycan residues.” Journal of Medical Virology 93 (1): 499–505. doi:10.1002/jmv.26261.
  • Margolin, D. 2021. “The Theory of Informative Fictions: A Character-Based Approach to False News and Other Misinformation.” Communication Theory 31 (4): 714–736. doi:10.1093/ct/qtaa002.
  • Marwick, A. 2018. “Why Do People Share Fake News? A Sociotechnical Model of Media Effects.” Georgetown Law Technology Review 2 (2): 474–512.
  • Meade, A. 2021. “Sky News Australian denies broadcasting Covid misinformation, saying YouTube is ‘totalitarian’.” The Guardian [online]. Accessed 19 December 2021. https://www.theguardian.com/media/2021/sep/06/sky-news-australia-denies-broadcasting-covid-misinformation-saying-youtube-is-totalitarian
  • Naeem, S., and R. Bhatti. 2020. “The Covid-19 ‘Infodemic’: A New Front for Information Professionals.” Health Information and Libraries Journal 37 (3): 233–239.
  • Newman, N., and R. Fletcher. 2017. “Bias, bullshit and lies: Audience perspectives on low trust in the media.” Reuters Institute [online]. Accessed on 20 December 2021. https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2017-11/Nic%20Newman%20and%20Richard%20Fletcher%20-%20Bias%2C%20Bullshit%20and%20Lies%20-%20Report.pdf
  • Nyhan, B. 2020. “Facts and Myths about Misperceptions.” Journal of Economic Perspectives 34 (3): 220–236. doi:10.1257/jep.34.3.220.
  • Nyhan, B., and J. Reifler. 2010. “When Corrections Fail: The Persistence of Political Misperceptions.” Political Behavior 32 (2): 303–330. doi:10.1007/s11109-010-9112-2.
  • Ognyanova, K., D. Lazer, R. Robertson, and C. Wilson. 2020. “Misinformation in Action: Fake News Exposure is Linked to Lower Trust in Media, Higher Trust, in Government When Your Side is in Power.” Harvard Kennedy School Misinformation Review 1 (4): 1–19. doi:10.37016/mr-2020-024.
  • Orso, D., N. Federici, R. Copetti, L. Vetrugno, and T. Bove. 2020. “Infodemic and the Spread of Fake News in the Covid-19-Era.” European Journal of Emergency Medicine: Official Journal of the European Society for Emergency Medicine 27 (5): 327–328.
  • Oyserman, D., and A. Dawson. 2019. “Your Fake News, Our Facts: Identity-Based Motivation Shapes What we Believe, Share and Accept.” In The Psychology of Fake News, edited by R. Greifender, M. Jaffe, E. Newman and N. Schwarz, 173–196. Oxford: Routledge.
  • Pan, W., D. Liu, and J. Fang. 2021. “An Examination of Factors Contributing to the Acceptance of Online Health Misinformation.” Frontiers in Psychology 12: 630268. doi:10.3389/fpsyg.2021.630268.
  • Patwa, P., S. Sharma, S. Pykl, V. Guptha, G. Kumari, M. Akhtar, A. Ekbal, A. Das, and T. Chakraborty. 2021. “Fighting an Infodemic: Covid-19 Fake News Dataset. Combating Online Hostile Posts in Regional Languages during Emergency Situation. CONSTRAINT 2021.” Communications in Computer and Information Science, vol 1402. Cham: Springer. doi:10.1007/978-3-030-73696-5_3.
  • Pennycook, G., Z. Epstein, M. Mosleh, A. Arechar, D. Eckles, and D. Rand. 2021. “Shifting Attention to Accuracy Can Reduce Misinformation Online.” Nature 592 (7855): 590–592. doi:10.1038/s41586-021-03344-2.
  • Petersen, M., M. Osmundsen, and K. Arceneaux. 2020. “The “Need for Chaos” and Motivations to Share Hostile Political Rumours in Advanced Democracies.” PsyArXiv Preprints. https://psyarxiv.com/6m4ts/
  • Pew. 2020. https://www.pewresearch.org/fact-tank/2020/04/08/nearly-three-in-ten-americans-believe-covid-19-was-made-in-a-lab/
  • Piplani, S., P. K. Singh, D. A. Winkler, and N. Petrovsky. 2021. “In Silico Comparison of SARS-CoV-2 Spike protein-ACE2 Binding Affinities across Species and Implications for Virus Origin.” Scientific Reports 11 (1): 1–13.
  • Posetti, J., and A. Matthews. 2018. “A Short Guide to the History of ‘Fake News’ and Disinformation.” Washington DC: International Center for Journalists
  • PRRI. 2020. https://www.prri.org/wp-content/uploads/2021/05/Topline-IFYC-PRRI-Survey-on-Religion-and-COVID-19-Vaccine-Trust-v2_final.pdf
  • Qazvinian, V., E. Rosengren, D. Radev, and Q. Mei. 2011. “Rumor Has It: Identifying Misinformation in Microblogs.” Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 1589–1599. Edinburgh, Scotland.
  • Rasmussen, A. L. 2021. “On the Origins of SARS-CoV-2.” Nature Medicine 27 (1): 9–9. doi:10.1038/s41591-020-01205-5.
  • Roozenbeek, J., C. Schneider, S. Dryhurst, J. Kerr, A. Freeman, G. Recchia, A. M. van der Bles, and S. van der Linden. 2020. “Susceptibility to Misinformation about COVID-19 around the World.” Royal Society Open Science 7 (10): 201199. [PMC] doi:10.1098/rsos.201199 [33204475]
  • Rubin, V. 2019. “Disinformation and Misinformation Triangle: A Conceptual Model for “Fake News” Epidemic, Causal Factors and Interventions.” Journal of Documentation 75 (5): 1013–1034. doi:10.1108/JD-12-2018-0209.
  • Ruiz, M. 2021. “Fox New’s contributors are beginning to defect.” Vogue [online]. Accessed on 10 December 2021. https://www.vogue.com/article/fox-news-contributors-are-beginning-to-defect
  • Sallard, E., J. Halloy, D. Casane, E. Decroly, and J. van Helden. 2021. “Tracing the Origins of SARS-COV-2 in Coronavirus Phylogenies: A Review.” Environmental Chemistry Letters 4: 1–17.
  • Scheufele, D., and N. Krause. 2019. “Science Audiences, Misinformation, and Fake News.” Proceedings of the National Academy of Sciences of the United States of America 116 (16): 7662–7669. doi:10.1073/pnas.1805871115.
  • Schwarz, N., and M. B. Jalbert. 2021. “When (Fake) News Feels True: Intuitions of Truth and Acceptance and Correction of Misinformation.” In Psychological Insights for Understanding COVID-19 and Media and Technology, edited by C. Mc Mahon, 9–25. London: Routledge.
  • Segreto, R., and Y. Deigin. 2021. “The Genetic Structure of SARS‐CoV‐2 Does Not Rule out a Laboratory Origin: SARS‐COV‐2 Chimeric Structure and Furin Cleavage Site Might Be the Result of Genetic Manipulation.” BioEssays 43 (3): 2000240. doi:10.1002/bies.202000240.
  • Segreto, R., Y. Deigin, K. McCairn, A. Sousa, D. Sirotkin, K. Sirotkin, … D. Zhang. 2021. “Should we Discount the Laboratory Origin of COVID-19?” Environmental Chemistry Letters 19: 2743–2757.
  • Serrano, J. C. M., O. Papakyriakopoulos, and S. 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.
  • Seyran, M., D. Pizzol, P. Adadi, T. M. A. El-Aziz, S. S. Hassan, A. Soares, R. Kandimalla, et al. 2021. “Questions concerning the Proximal Origin of SARS‐CoV‐2.” Journal of Medical Virology 93 (3): 1204–1206.
  • Shao, C., P.-M. Hui, L. Wang, X. Jiang, A. Flammini, F. Menczer, and G. Ciampaglia. 2018. “Anatomy of an Online Misinformation Network.” PLoS ONE 13 (4): e0196087. doi:10.1371/journal.pone.0196087.
  • Shin, J., L. Jian, K. Driscoll, and F. Bar. 2018. “The Diffusion of Misinformation on Social Media: Temporal Pattern, Message and Source.” Computers in Human Behavior 83: 278–287. doi:10.1016/j.chb.2018.02.008.
  • Shin, G. Y., and R. Manuel. 2021. “Covid-19 Laboratory Leak Hypothesis: How a Few Kept the Many from Considering Alternative Possibilities.” BMJ (Clinical Research ed.) 374: n2003. doi:10.1136/bmj.n2003.
  • Simpson, E., and A. Conner. 2020. “Fighting coronavirus misinformation and disinformation.” Centre for American Progress [online]. Accessed 20 December 2021. https://www.americanprogress.org/article/fighting-coronavirus-misinformation-disinformation/
  • Søe, S. 2018. “Algorithmic Detection of Misinformation and Disinformation: Gricean Perspectives.” Journal of Documentation 74 (2): 309–332. doi:10.1108/JD-05-2017-0075.
  • Stecula, D., O. Kuru, and K. Jamieson. 2020. “How Trust in Experts and Media Use Affect Acceptance of Common anti-Vaccination Claims.” HKS Misinformation Review 1 (1). doi:10.37016/mr-2020-007.
  • Steensen, S. 2019. “Journalism’s Epistemic Crisis and Its Solution: Disinformation, Datafication and Source Criticism.” Journalism 20 (1): 185–189. doi:10.1177/1464884918809271.
  • Stokols, E. 2021. “Republicans’ Belief in Trump’s ‘Big Lie’ Holds Steady as Confidence in U.S. Elections Dips.” Los Angeles Times [online]. Accessed 20 December 2021. https://www.latimes.com/politics/story/2021-12-16/republicans-belief-in-trumps-big-lie-holds-steady-as-eroding-confidence-in-u-s-elections-wanes
  • Talwar, S., A. Dhir, P. Kaur, N. Zafar, and M. Alrasheedy. 2019. “Why Do People Share Fake News? Associations between the Dark Side of Social Media Use and Fake News Sharing Behaviour.” Journal of Retailing and Consumer Services 51: 72–82. doi:10.1016/j.jretconser.2019.05.026.
  • Tambuscio, M., G. Ruffo, A. Flammini, and F. Menczer. 2015. “Fact-Checking Effect on Viral Hoaxes: A Model of Misinformation Spread in Social Networks.” WWW ‘15 Companion: Proceedings of the 24th International Conference on World Wide Web.
  • Tandoc, E.,JrZ. Lim, and R. Ling. 2018. “Defining “Fake News”: A Typology of Scholarly Definitions.” Digital Journalism 6 (2): 137–153. doi:10.1080/21670811.2017.1360143.
  • Thacker, P. D. 2021. “The Covid-19 Lab Leak Hypothesis: did the Media Fall Victim to a Misinformation Campaign?” BMJ 374: n1656. doi:10.1136/bmj.n1656.
  • Trevors, G. 2019. “Psychological Processes and Tribes Underlying Why and How Corrections of Misinformation Sometimes Fail.” In Misinformation, ‘Quackery’, and ‘Fake News’ in Education, edited by P. Kendeou and D. Robinson, 55–80. Charlotte, NC: Information Age Publishing.
  • van der Linden, S., A. Leiserowitz, S. Rosenthal, and E. Maibach. 2017. “Inoculating the Public against Misinformation about Climate Change.” Global Challenges (Hoboken, NJ) 1 (2): 1600008. doi:10.1002/gch2.201600008.
  • van Helden, J., C. D. Butler, G. Achaz, B. Canard, D. Casane, J-M. Claverie, F. Colombo, et al. 2021. “An Appeal for an Objective, Open, and Transparent Scientific Debate about the Origin of SARS-CoV-2.” The Lancet 398 (10309): 1402–1404. doi:10.1016/S0140-6736(21)02019-5.
  • Von Borowski, R. G., and D. S. Trentin. 2021. “Biofilms and Coronavirus Reservoirs: A Perspective Review.” Applied and Environmental Microbiology 87 (18): e00859-21. doi:10.1128/AEM.00859-21.
  • Vraga, E., and L. Bode. 2020. “Defining Misinformation and Understanding Its Bounded Nature: Using Expertise and Evidence for Describing Misinformation.” Political Communication 37 (1): 136–144. doi:10.1080/10584609.2020.1716500.
  • Wang, Y., M. McKee, A. Torbica, and D. Stuckler. 2019. “Systematic Literature Review on the Spread of Health-related Misinformation on Social Media.” Social Science & Medicine 240: 112552. doi:10.1016/j.socscimed.2019.112552.
  • Wasserman, H., and D. Madrid-Morales. 2019. “An Exploratory Study of ‘Fake News’ and Media Trust in Kenya, Nigeria, and South Africa.” African Journalism Studies 40 (1): 107–123. doi:10.1080/23743670.2019.1627230.
  • WHO. 2021a. “WHO Calls for Further Studies, Data on Origin of SARS-CoV-2 Virus, Reiterates That All Hypotheses Remain Open.” WHO. Accessed 30 March 2021. WHO-convened global study of origins of SARS-CoV-2: China Part
  • WHO. 2021b. https://www.who.int/news/item/30-03-2021-who-calls-for-further-studies-data-on-origin-of-sars-cov-2-virus-reiterates-that-all-hypotheses-remain-open
  • Wilson, S., and C. Wiysonage. 2020. “Misinformation on Social Media Fuels Vaccine Hesitancy: A Global Study Shows the Link.” The Conversation [online]. Accessed 20 December 2021. https://theconversation.com/misinformation-on-social-media-fuels-vaccine-hesitancy-a-global-study-shows-the-link-150652
  • Wootton, D. 2015. The Invention of Science: A New History of the Scientific Revolution. London: Penguin.
  • Wu, L., F. Morstatter, K. Carley, and H. Liu. 2019. “Misinformation in Social Media: Definition, Manipulation and Detection.” ACM SIGKDD Explorations Newsletter 21 (2): 80–90. doi:10.1145/3373464.3373475.
  • Zarcostas, J. 2020. “How to Fight an Infodemic.” The Lancet 395 (10225): 676.
  • Zhang, Y. Z., and E. C. Holmes. 2020. “A Genomic Perspective on the Origin and Emergence of SARS-CoV-2.” Cell 181 (2): 223–227.
  • Zhou, H., J. Ji, X. Chen, Y. Bi, J. Li, Q. Wang, … W. Shi. 2021. “Identification of Novel Bat Coronaviruses Sheds Light on the Evolutionary Origins of SARS-CoV-2 and Related Viruses.” Cell 184: 4380–4391.
  • Zhou, P., and Z. L. Shi. 2021. “SARS-CoV-2 Spillover Events.” Science (New York, N.Y.) 371 (6525): 120–122.
  • Zhou, P., X.-L. Yang, X.-G. Wang, B. Hu, L. Zhang, W. Zhang, H.-R. Si, et al. 2020. “A Pneumonia Outbreak Associated with a New Coronavirus of Probable Bat Origin.” Nature 579 (7798): 270–273.
  • Zielinski, K., R. Nielek, A. Wierzbicki, and A. Jatowt. 2018. “Computing Controversy: Formal Model and Algorithms for Detecting Controversy on Wikipedia and in Search Queries.” Information Processing & Management 54 (1): 14–36. doi:10.1016/j.ipm.2017.08.005.

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