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Understanding and combatting misinformation across 16 countries on six continents

Nature Human Behaviour volume 7, pages 1502–1513 (2023)Cite this article

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An Author Correction to this article was published on 18 July 2023

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Abstract

The spread of misinformation online is a global problem that requires global solutions. To that end, we conducted an experiment in 16 countries across 6 continents (N = 34,286; 676,605 observations) to investigate predictors of susceptibility to misinformation about COVID-19, and interventions to combat the spread of this misinformation. In every country, participants with a more analytic cognitive style and stronger accuracy-related motivations were better at discerning truth from falsehood; valuing democracy was also associated with greater truth discernment, whereas endorsement of individual responsibility over government support was negatively associated with truth discernment in most countries. Subtly prompting people to think about accuracy had a generally positive effect on the veracity of news that people were willing to share across countries, as did minimal digital literacy tips. Finally, aggregating the ratings of our non-expert participants was able to differentiate true from false headlines with high accuracy in all countries via the ‘wisdom of crowds’. The consistent patterns we observe suggest that the psychological factors underlying the misinformation challenge are similar across different regional settings, and that similar solutions may be broadly effective.

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Fig. 1: Visualization of the four experimental conditions.
Fig. 2: True headlines are believed more than false headlines.
Fig. 3: Consistent cross-cultural evidence that truth discernment is associated with analytic thinking, accuracy motivations and ideology.
Fig. 4: Sharing intentions are less discerning than accuracy judgements, even though people consistently rate accuracy as important when deciding what to share.
Fig. 5: Simple interventions can improve the quality of social media sharing intentions.
Fig. 6: Ratings from even small groups of laypeople can reliably distinguish true from false headlines.

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Data are accessible through this link: https://osf.io/g65qu/.

Code availability

Code and materials are accessible through this link: https://osf.io/g65qu/.

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References

  1. Lazer, D. et al. The science of fake news. Science 9, 1094–1096 (2018).

    Article  Google Scholar 

  2. Bradshaw, S. & Howard, P. N. The Global Disinformation Order: 2019 Global Inventory of Organised Social Media Manipulation (Univ. Oxford, 2019).

  3. Whitten-Woodring, J., Kleinberg, M. S., Thawnghmung, A. & Thitsar, M. T. Poison if you don’t know how to use it: Facebook, Democracy, and Human Rights in Myanmar. Int. J. Press. 25, 407–425 (2020).

    Article  Google Scholar 

  4. Mozur, P. A genocide incited on Facebook, with posts from Myanmar’s military. The New York Times (15 October 2018).

  5. Arun, C. On WhatsApp, rumours, and lynchings. Econ. Polit. Wkly 54, 7–8 (2019).

    Google Scholar 

  6. Khandelwal, D., Gildejeva, K. & Miller, E. Covid lies are tearing through India’s family WhatsApp groups. Wired (14 April 2021).

  7. Lederer, E. UN chief says misinformation about COVID-19 is new enemy. AP News (28 March 2020).

  8. Roozenbeek, J. et al. Susceptibility to misinformation about COVID-19 around the world: susceptibility to COVID misinformation. R. Soc. Open Sci. 7, 201199 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Basch, C. H., Meleo-Erwin, Z., Fera, J., Jaime, C. & Basch, C. E. A global pandemic in the time of viral memes: COVID-19 vaccine misinformation and disinformation on TikTok. Hum. Vaccin Immunother. 17, 2373–2377 (2021).

  10. Loomba, S., de Figueiredo, A., Piatek, S. J., de Graaf, K. & Larson, H. J. Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nat. Hum. Behav. 5, 337–348 (2021).

  11. Pennycook, G., McPhetres, J., Bago, B. & Rand, D. G. Beliefs about COVID-19 in Canada, the United Kingdom, and the United States: a novel test of political polarization and motivated reasoning. Personal. Soc. Psychol. Bull. 48, 750–765 (2022).

  12. Bursztyn, L., Rao, A., Roth, C. & Yanagizawa-Drott, D. Misinformation during a pandemic. Becker Friedman Inst. Work. Pap. https://bfi.uchicago.edu/working-paper/2020-44/ (2020).

  13. Brennen, J. S., Simon, F., Howard, P. N. & Kleis Nielsen, R. Types, sources, and claims of COVID-19 misinformation. Reuters Institute https://reutersinstitute.politics.ox.ac.uk/types-sources-and-claims-covid-19-misinformation (2020).

  14. Fleming, N. Coronavirus misinformation, and how scientists can help to fight it. Nature 583, 155–156 (2020).

    Article  CAS  PubMed  Google Scholar 

  15. Jain, S. India’s healthcare workers are busting misinformation on WhatsApp. The Verge https://www.theverge.com/22535642/covid-misinformation-india-asha-whatsapp (2021).

  16. Simonov, A., Sacher, S., Dube, J.-P. & Biswas, S. The persuasive effect of Fox News: non-compliance with social distancing during the COVID-19 pandemic. Natl. Bur. Econ. Res. https://www.nber.org/system/files/working_papers/w27237/w27237.pdf (2020).

  17. Henrich, J., Heine, S. J. & Norenzayan, A. The weirdest people in the world? Behav. Brain Sci. 33, 61–83 (2010).

    Article  PubMed  Google Scholar 

  18. Fawzi, N. et al. Concepts, causes and consequences of trust in news media—a literature review and framework. Ann. Int. Commun. Assoc. 45, 154–174 (2021).

    Google Scholar 

  19. Mardikyan, S., Yıldız, E., Ordu, M. & Şimşek, B. Examining the global digital divide: a cross-country analysis. Commun. IBIMA https://doi.org/10.5171/2015.592253 (2015).

  20. Sanou, B. ICT facts and figures 2016. International Telecommunication Union https://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2016.pdf (2016).

  21. Kemp, S. Digital 2021: Global Overview Report. DataReportal https://datareportal.com/reports/digital-2021-global-overview-report (2021).

  22. Allen, J., Arechar, A. A., Pennycook, G. & Rand, D. G. Scaling up fact-checking using the wisdom of crowds. Sci. Adv. 7, 36 (2021).

    Article  Google Scholar 

  23. Fazio, L. K., Rand, D. G. & Pennycook, G. Repetition increases perceived truth equally for plausible and implausible statements. Psychon. Bull. Rev. 26, 1705–1710 (2019).

    Article  PubMed  Google Scholar 

  24. Pennycook, G., Binnendyk, J., Newton, C. & Rand, D. G. A practical guide to doing behavioural research on fake news and misinformation. Collabra Psychol. 7, 25293 (2021).

    Article  Google Scholar 

  25. Pennycook, G. & Rand, D. G. The psychology of fake news. Trends Cogn. Sci. 25, 388–402 (2021).

  26. Pennycook, G. & Rand, D. G. Lazy, not biased: susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition 188, 39–50 (2019).

    Article  PubMed  Google Scholar 

  27. Frederick, S. Cognitive reflection and decision making. J. Econ. Perspect. 19, 25–42 (2005).

    Article  Google Scholar 

  28. Bago, B., Rand, D. & Pennycook, G. Fake news, fast and slow: deliberation reduces belief in false (but not true) news headlines. J. Exp. Psychol. Gen. 149, 1608–1613 (2020).

    Article  PubMed  Google Scholar 

  29. Osmundsen, M., Bor, A., Vahlstrup, P. B., Bechmann, A. & Petersen, M. B. Partisan polarization is the primary psychological motivation behind ‘fake news’ sharing on Twitter. Am. Polit. Sci. Rev. 115, 999–1015 (2021).

    Article  Google Scholar 

  30. Arceneaux, K. et al. Some people just want to watch the world burn: the prevalence, psychology and politics of the ‘Need for Chaos’. Phil. Trans. R. Soc. B 376, 20200147 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  31. Grant, A. M. & Shandell, M. S. Social motivation at work: the organizational psychology of effort for, against, and with others. Annu. Rev. Psychol. 73, 301–326 (2022).

    Article  PubMed  Google Scholar 

  32. Rathje, S., Roozenbeek, J., Van Bavel, J. J. & van der Linden, S. Accuracy and social motivations shape judgements of (mis)information. Nat. Hum. Behav. https://doi.org/10.1038/s41562-023-01540-w (2023).

  33. Pretus, C. et al. The role of political devotion in sharing partisan misinformation. Preprint at PsyArXiv https://doi.org/10.31234/osf.io/7k9gx (2021).

  34. Van Bavel, J. J. & Pereira, A. The partisan brain: an identity-based model of political belief. Trends Cogn. Sci. 22, 213–224 (2018).

  35. Jost, J. T. & Krochik, M. Ideological differences in epistemic motivation: implications for attitude structure, depth of information processing, susceptibility to persuasion, and stereotyping. Adv. Motiv. Sci. 1, 181–231 (2014).

  36. Rutjens, B. T., Sutton, R. M. & van der Lee, R. Not all skepticism is equal: exploring the ideological antecedents of science acceptance and rejection. Personal. Soc. Psychol. Bull. 44, 384–405 (2018).

    Article  Google Scholar 

  37. Campbell, T. H. & Kay, A. C. Solution aversion: on the relation between ideology and motivated disbelief. J. Pers. Soc. Psychol. 107, 809–824 (2014).

    Article  PubMed  Google Scholar 

  38. Pennycook, G., Cannon, T. D. & Rand, D. G. Prior exposure increases perceived accuracy of fake news. J. Exp. Psychol. Gen. 147, 1865–1880 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  39. Smelter, T. J. & Calvillo, D. P. Pictures and repeated exposure increase perceived accuracy of news headlines. Appl. Cogn. Psychol. 34, 1061–1071 (2020).

    Article  Google Scholar 

  40. Calvillo, D. P. & Smelter, T. J. An initial accuracy focus reduces the effect of prior exposure on perceived accuracy of news headlines. Cogn. Res. Princ. Implic. 5, 55 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  41. Effron, D. A. & Raj, M. Misinformation and morality: encountering fake-news headlines makes them seem less unethical to publish and share. Psychol. Sci. 31, 75–87 (2020).

  42. Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G. & Rand, D. G. Fighting COVID-19 misinformation on social media: experimental evidence for a scalable accuracy nudge intervention. Psychol. Sci. 31, 770–780 (2020).

    Article  PubMed  Google Scholar 

  43. Pennycook, G. et al. Shifting attention to accuracy can reduce misinformation online. Nature 592, 590–595 (2021).

  44. Freiling, I., Krause, N. M., Scheufele, D. A. & Brossard, D. Believing and sharing misinformation, fact-checks, and accurate information on social media: the role of anxiety during COVID-19. N. Media Soc. 25, 141–162 (2023).

    Article  Google Scholar 

  45. Li, M., Chen, Z. & Rao, L.-L. Emotion, analytic thinking and susceptibility to misinformation during the COVID-19 outbreak. Comput. Hum. Behav. 133, 107295 (2022).

    Article  Google Scholar 

  46. Saling, L. L., Mallal, D., Scholer, F., Skelton, R. & Spina, D. No one is immune to misinformation: an investigation of misinformation sharing by subscribers to a fact-checking newsletter. PLoS ONE 16, e0255702 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Petersen, M., Osmundsen, M. & Arceneaux, K. The “need for chaos” and motivations to share hostile political rumors. Am. Polit. Sci. Rev. https://doi.org/10.1017/S0003055422001447 (2023).

  48. Mosleh, M., Martel, C., Eckles, D. & Rand, D. G. Perverse downstream consequences of debunking: being corrected by another user for posting false political news increases subsequent sharing of low qality, partisan, and toxic content in a twiter field experiment. In Proc. 2021 CHI Conference on Human Factors in Computing Systems (eds Kitamura, Y. et al.) 1–13 (Association for Computing Machinery, 2021).

  49. Epstein, Z. et al. Developing an accuracy-prompt toolkit to reduce COVID-19 misinformation online. Harv. Kennedy Sch. Misinformation Rev. https://doi.org/10.37016/mr-2020-71 (2021).

    Article  Google Scholar 

  50. Pennycook, G. & Rand, D. G. Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation. Nat. Commun. 13, 2333 (2022).

  51. Pennycook, G. & Rand, D. G. Nudging social media sharing towards accuracy. Ann. Am. Acad. Pol. Soc. Sci. 700, 152–164 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  52. Guess, A. M. et al. A digital media literacy intervention increases discernment between mainstream and false news in the United States and India. Proc. Natl Acad. Sci. USA 117, 15536–15545(2020).

  53. Pennycook, G. & Rand, D. G. The right way to fight fake news. The New York Times (24 March 2020).

  54. Godel, W. et al. Moderating with the mob: evaluating the efficacy of real-time crowdsourced fact-checking. J. Online Trust Saf. https://doi.org/10.54501/jots.v1i1.15 (2021).

  55. Resnick, P., Alfayez, A., Im, J. & Gilbert, E. Searching for or reviewing evidence improves crowdworkers’ misinformation judgments and reduces partisan bias. Collective Inteligence https://doi.org/10.1177/26339137231173407 (2023).

  56. Martel, C., Allen, J. N. L., Pennycook, G. & Rand, D. Crowds can effectively identify misinformation at scale. Perspect. Psychol. Sci. (in the press).

  57. Porter, E. & Wood, T. J. The global effectiveness of fact-checking: evidence from simultaneous experiments in Argentina, Nigeria, South Africa, and the United Kingdom. Proc. Natl Acad. Sci. USA 118, e2104235118 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Bak-Coleman, J. et al. Combining interventions to reduce the spread of viral misinformation. Nat. Hum. Behav 6, 1372–1380 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  59. Pennycook, G. & Rand, D. G. Who falls for fake news? The roles of bullshit receptivity, overclaiming, familiarity, and analytic thinking. J. Pers. 88, 185–200 (2020).

    Article  PubMed  Google Scholar 

  60. Faris, R. M. et al. Partisanship, propaganda, and disinformation: online media and the 2016 U.S. Presidential Election. Berkman Klein Cent. Internet Soc. Res. Pap. https://ssrn.com/abstract=3019414 (2017).

  61. Berinsky, A. Rumors and health care reform: experiments in political misinformation. Br. J. Polit. Sci. 47, 241–262 (2017).

  62. Mosleh, M., Pennycook, G. & Rand, D. G. Self-reported willingness to share political news articles in online surveys correlates with actual sharing on Twitter. PLoS ONE 15, e0228882 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors gratefully acknowledge funding from: The MIT Sloan Latin America Office; The Sloan Foundation; The National Science Foundation (2047152); The Ethics and Governance of Artificial Intelligence Initiative of the Miami Foundation; The William and Flora Hewlett Foundation; The Reset Initiative of Luminate (part of the Omidyar Network); The John Templeton Foundation; The TDF Foundation; The Canadian Institutes of Health Research; The Social Sciences and Humanities Research Council of Canada; The Australian Research Council (DP180102384); Google. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

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Authors and Affiliations

  1. Center for Research and Teaching in Economics (CIDE), Aguascalientes, Mexico

    Antonio A. Arechar

  2. Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA

    Antonio A. Arechar, Jennifer Allen, Ziv Epstein, Jackson G. Lu, Michael N. Stagnaro, Yunhao Zhang & David G. Rand

  3. Centre for Decision Research and Experimental Economics, University of Nottingham, Nottingham, UK

    Antonio A. Arechar

  4. Department of Political Science, Massachusetts Institute of Technology, Cambridge, MA, USA

    Adam J. Berinsky

  5. Google, New York, NY, USA

    Rocky Cole & Andrew Gully

  6. Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA

    Ziv Epstein

  7. Rutgers University, New Brunswick, NJ, USA

    Kiran Garimella

  8. Department of Philosophy, Macquarie University, Sydney, New South Wales, Australia

    Robert M. Ross

  9. Hill/Levene Schools of Business, University of Regina, Regina, Saskatchewan, Canada

    Gordon Pennycook

  10. Department of Psychology, University of Regina, Regina, Saskatchewan, Canada

    Gordon Pennycook

  11. Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA

    David G. Rand

  12. Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA

    David G. Rand

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Contributions

A.A.A., A.J.B., G.P. and D.G.R. conceived the research; A.A.A., J.A., A.J.B., R.C., Z.E., K.G., A.G., J.G.L., R.M.R., M.N.S., Y.Z., G.P. and D.G.R. designed the study; A.A.A. conducted the study; A.A.A., J.A. and D.G.R. analysed the data; A.A.A., G.P. and D.G.R. wrote the paper with input from J.A., A.J.B., R.C., Z.E., K.G., A.G., J.G.L., R.M.R., M.N.S. and Y.Z.

Corresponding authors

Correspondence to Gordon Pennycook or David G. Rand.

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Competing interests

A.J.B., G.P. and D.G.R. received research support through gifts from Google. G.P. and D.G.R. received research support through gifts from Facebook. R.C. and A.G. were employees of Google when the work was conducted. A.J.B. and G.P. were Faculty Research Fellows at Google for several months in 2002. The other authors declare no competing interests.

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Arechar, A.A., Allen, J., Berinsky, A.J. et al. Understanding and combatting misinformation across 16 countries on six continents. Nat Hum Behav 7, 1502–1513 (2023). https://doi.org/10.1038/s41562-023-01641-6

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