Reducing Younger and Older Adults’ Engagement with COVID-19 Misinformation: The Effects of Accuracy Nudge and Exogenous Cues

References

• Bago, B., Rand, D. G., & Pennycook, G. (2020). Fake news, fast and slow: Deliberation reduces belief in false (but not true) news headlines. Journal of Experimental Psychology. General, 149(8), 1608–1613. https://doi.org/10.1037/xge0000729
   PubMed Web of Science ®Google Scholar
• Baltes, P. B., & Baltes, M. M. (Eds.). (1990). Psychological perspectives on successful aging: The model of selective optimization with compensation. In Successful aging (1st ed., pp. 1–34). Cambridge University Press. https://doi.org/10.1017/CBO9780511665684.003
   Google Scholar
• Basu Roy, R., & McMahon, G. T. (2012). Video-based cases disrupt deep critical thinking in problem-based learning. Medical Education, 46(4), 426–435. https://doi.org/10.1111/j.1365-2923.2011.04197.x
   PubMed Web of Science ®Google Scholar
• Brashier, N. M., & Marsh, E. J. (2020). Judging truth. Annual Review of Psychology, 71(1), 499–515. https://doi.org/10.1146/annurev-psych-010419-050807
   PubMed Web of Science ®Google Scholar
• Brashier, N. M., & Schacter, D. L. (2020). Aging in an era of fake news. Current Directions in Psychological Science, 29(3), 316–323. https://doi.org/10.1177/0963721420915872
   PubMed Web of Science ®Google Scholar
• Brashier, N. M., Umanath, S., Cabeza, R., & Marsh, E. J. (2017). Competing cues: Older adults rely on knowledge in the face of fluency. Psychology and Aging, 32(4), 331–337. https://doi.org/10.1037/pag0000156
   PubMed Web of Science ®Google Scholar
• Bucher, T., & Helmond, A. (2018). The affordances of social media platforms. In J. Burgess, A. Marwick, & T. Poell (Eds.), The SAGE handbook of social media (pp. 233–253). SAGE Publications Ltd. https://doi.org/10.4135/9781473984066.n14
   Google Scholar
• Cacioppo, J. T., & Petty, R. E. (1984). The need for cognition: Relationships to attitudinal processes. In R. P. McGlynn, J. E. Maddux, C. Stoltenberg, & J. H. Harvey (Eds.), Social perception in clinical and counseling psychology. Tech University Press.
   Google Scholar
• Cacioppo, J. T., Petty, R. E., Kao, C. F., & Rodriguez, R. (1986). Central and peripheral routes to persuasion: An individual difference perspective. Journal of Personality and Social Psychology, 51(5), 1032–1043. https://doi.org/10.1037/0022-3514.51.5.1032
   Web of Science ®Google Scholar
• Carstensen, L. L., Isaacowitz, D. M., & Charles, S. T. (1999). Taking time seriously: A theory of socioemotional selectivity. American Psychologist, 54(3), 165–181. https://doi.org/10.1037/0003-066X.54.3.165
   Google Scholar
• Castle, E., Eisenberger, N. I., Seeman, T. E., Moons, W. G., Boggero, I. A., Grinblatt, M. S., & Taylor, S. E. (2012). Neural and behavioral bases of age differences in perceptions of trust. Proceedings of the National Academy of Sciences of the United States of America, 109(51), 20848–20852. https://doi.org/10.1073/pnas.1218518109
   PubMed Web of Science ®Google Scholar
• China Internet Network Information Center (2021). The 47th China statistical report on internet development. http://www.cac.gov.cn/2021-02/03/c_1613923423079314.htm
   Google Scholar
• Cohen, J. (2020). Scientists ‘strongly condemn’ rumors and conspiracy theories about origin of coronavirus outbreak. Science News. https://www.sciencemag.org/news/2020/02/scientists-strongly-condemn-rumors-and-conspiracy-theories-about-origin-coronavirus
   Google Scholar
• Cornwall, W. (2020). Officials gird for a war on vaccine misinformation. Science, 369(6499), 14–15. https://doi.org/10.1126/science.369.6499.14
   PubMed Web of Science ®Google Scholar
• Craik, F. I. M., & Rose, N. S. (2012). Memory encoding and aging: A neurocognitive perspective. Neuroscience & Biobehavioral Reviews, 36(7), 1729–1739. https://doi.org/10.1016/j.neubiorev.2011.11.007
   Google Scholar
• Fazio, L. K., Brashier, N. M., Payne, B. K., & Marsh, E. J. (2015). Knowledge does not protect against illusory truth. Journal of Experimental Psychology. General, 144(5), 993–1002. https://doi.org/10.1037/xge0000098
   PubMed Web of Science ®Google Scholar
• Fiske, S. T., & Taylor, S. E. (1991). McGraw-Hill series in social psychology. Social cognition (2nd ed.). Mcgraw-Hill Book Company.
   Google Scholar
• Geeng, C., Francisco, T., West, J., Roesner, F. (2020). Social media COVID-19 misinformation interventions viewed positively, but have limited impact. ArXiv:2012.11055 [Cs]. http://arxiv.org/abs/2012.11055
   Google Scholar
• Gigerenzer, G., Hertwig, R., & Pachur, T. (Eds.). (2011). Heuristics: The foundations of adaptive behavior. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199744282.001.0001
   Google Scholar
• Guess, A., Nagler, J., & Tucker, J. (2019). Less than you think: Prevalence and predictors of fake news dissemination on Facebook. Science Advances, 5(1), eaau4586. https://doi.org/10.1126/sciadv.aau4586
   PubMed Web of Science ®Google Scholar
• Katherine, S. (2020). Nearly three-in-ten Americans believe COVID-19 was made in a lab. https://www.pewresearch.org/fact-tank/2020/04/08/nearly-three-in-ten-americans-believe-covid-19-was-made-in-a-lab/
   Google Scholar
• Kim, A., & Dennis, A. D. (2019). Says who? The effects of presentation format and source rating on fake news in social media. MIS Quarterly, 43(3), 1025–1039. https://doi.org/10.25300/MISQ/2019/15188
   Web of Science ®Google Scholar
• Kozyreva, A., Lewandowsky, S., & Hertwig, R. (2020). Citizens versus the internet: Confronting digital challenges with cognitive tools. Psychological Science in the Public Interest, 21(3), 103–156. https://doi.org/10.1177/1529100620946707
   PubMed Web of Science ®Google Scholar
• Kuang, Y., Shi, J.-Q., Cai, Y.-Q., & Wang, L. (2005). The Chinese version of need for cognition scale. Chinese Mental Health Journal, 19(1), 57–60.
   Google Scholar
• Kwok, K. O., Lai, F., Wei, W. I., Wong, S. Y. S., & Tang, J. W. T. (2020). Herd immunity – Estimating the level required to halt the COVID-19 epidemics in affected countries. The Journal of Infection, 80(6), e32–e33. https://doi.org/10.1016/j.jinf.2020.03.027
   PubMed Web of Science ®Google Scholar
• Levy, N. (2017). Nudges in a post-truth world. Journal of Medical Ethics, 43(8), 495–500. https://doi.org/10.1136/medethics-2017-104153
   PubMed Web of Science ®Google Scholar
• Linden, S. V. D. (2018). The future of behavioral insights: On the importance of socially situated nudges. Behavioural Public Policy, 2(2), 207–217. https://doi.org/10.1017/bpp.2018.22
   Google Scholar
• Loomba, S., de Figueiredo, A., Piatek, S. J., de Graaf, K., & Larson, H. J. (2021). Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nature Human Behaviour, 5(3), 337–348. https://doi.org/10.1038/s41562-021-01056-1
   PubMed Web of Science ®Google Scholar
• Loos, E., & Nijenhuis, J. (2020). Consuming fake news: A matter of age? The perception of political fake news stories in Facebook ads. In Q. Gao & J. Zhou (Eds.), Human aspects of IT for the aged population. Technology and society (pp. 69–88). Springer International Publishing. https://doi.org/10.1007/978-3-030-50232-4_6
   Google Scholar
• Lorenz-Spreen, P., Lewandowsky, S., Sunstein, C. R., & Hertwig, R. (2020). How behavioural sciences can promote truth, autonomy and democratic discourse online. Nature Human Behaviour, 4(11), 1102–1109. https://doi.org/10.1038/s41562-020-0889-7
   PubMed Web of Science ®Google Scholar
• MacFarlane, D., Hurlstone, M. J., & Ecker, U. K. H. (2020). Protecting consumers from fraudulent health claims: A taxonomy of psychological drivers, interventions, barriers, and treatments. Social Science & Medicine, 259, 112790. https://doi.org/10.1016/j.socscimed.2020.112790
   PubMed Web of Science ®Google Scholar
• Mayo, R., Schul, Y., & Burnstein, E. (2004). “I am not guilty” vs “I am innocent”: Successful negation may depend on the schema used for its encoding. Journal of Experimental Social Psychology, 40(4), 433–449. https://doi.org/10.1016/j.jesp.2003.07.008
   Google Scholar
• Moravec, P. L., Kim, A., & Dennis, A. R. (2020). Appealing to sense and sensibility: System 1 and system 2 interventions for fake news on social media. Information Systems Research, 31(3), 987–1006. https://doi.org/10.1287/isre.2020.0927
   Web of Science ®Google Scholar
• Muchnik, L., Aral, S., & Taylor, S. J. (2013). Social influence bias: A randomized experiment. Science, 341(6146), 647–651. https://doi.org/10.1126/science.1240466
   PubMed Web of Science ®Google Scholar
• Nekmat, E. (2020). Nudge effect of fact-check alerts: Source influence and media skepticism on sharing of news misinformation in social media. Social Media + Society, 6(1), 205630511989732. https://doi.org/10.1177/2056305119897322
   Web of Science ®Google Scholar
• Pennycook, G., & Rand, D. G. (2019). Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition, 188, 39–50. https://doi.org/10.1016/j.cognition.2018.06.011
   PubMed Web of Science ®Google Scholar
• Pennycook, G., Bear, A., Collins, E. T., & 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), 4944–4957. https://doi.org/10.1287/mnsc.2019.3478
   Web of Science ®Google Scholar
• Pennycook, G., Epstein, Z., Mosleh, M., Arechar, A. A., Eckles, D., & Rand, D. G. (2021). Shifting attention to accuracy can reduce misinformation online. Nature, 592(7855), 590–595. https://doi.org/10.1038/s41586-021-03344-2
   PubMed Web of Science ®Google Scholar
• Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G., & Rand, D. G. (2020). Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy-nudge intervention. Psychological Science, 31(7), 770–780. https://doi.org/10.1177/0956797620939054
   PubMed Web of Science ®Google Scholar
• Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In R. E. Petty & J. T. Cacioppo (Eds.), Communication and persuasion: Central and peripheral routes to attitude change (pp. 1–24). Springer. https://doi.org/10.1007/978-1-4612-4964-1_1
   Google Scholar
• Porten-Cheé, P., & Eilders, C. (2020). The effects of likes on public opinion perception and personal opinion. Communications, 45(2), 223–239. https://doi.org/10.1515/commun-2019-2030
   Google Scholar
• Rahhal, T. A., May, C. P., & Hasher, L. (2002). Truth and character: Sources that older adults can remember. Psychological Science, 13(2), 101–105. https://doi.org/10.1111/1467-9280.00419
   PubMed Web of Science ®Google Scholar
• Roozenbeek, J., Freeman, A. L. J., & van der Linden, S. (2021). How accurate are accuracy-nudge interventions? A preregistered direct replication of Pennycook et al. (2020). Psychological Science, 32(7), 1169–1178. https://doi.org/10.1177/09567976211024535
   PubMed Web of Science ®Google Scholar
• Roozenbeek, J., Schneider, C. R., Dryhurst, S., Kerr, J., Freeman, A. L. J., Recchia, G., van der Bles, A. M., & van der Linden, S. (2020). Susceptibility to misinformation about COVID-19 around the world. Royal Society Open Science, 7(10), 201199. https://doi.org/10.1098/rsos.201199
   PubMed Web of Science ®Google Scholar
• Schaedel, S. (2017). How to flag fake news on Facebook. https://www.factcheck.org/2017/07/flag-fake-news-facebook/
   Google Scholar
• Scherer, L. D., & Pennycook, G. (2020). Who is susceptible to online health misinformation? American Journal of Public Health, 110(S3), S276–S277. https://doi.org/10.2105/AJPH.2020.305908
   PubMedGoogle Scholar
• Seo, H., Blomberg, M., Altschwager, D., & Vu, H. T. (2021). Vulnerable populations and misinformation: A mixed-methods approach to underserved older adults’ online information assessment. New Media & Society, 23(7), 2012–2033. https://doi.org/10.1177/1461444820925041
   Web of Science ®Google Scholar
• Shearer, E. (2021). More than eight-in-ten Americans get news from digital devices. https://www.pewresearch.org/fact-tank/2021/01/12/more-than-eight-in-ten-americans-get-news-from-digital-devices/
   Google Scholar
• Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.
   Google Scholar
• Thornhill, C., Meeus, Q., Peperkamp, J., & Berendt, B. (2019). A digital nudge to counter confirmation bias. Frontiers in Big Data, 2, 11. https://doi.org/10.3389/fdata.2019.00011
   PubMedGoogle Scholar
• Vijaykumar, S., Jin, Y., Rogerson, D., Lu, X., Sharma, S., Maughan, A., Fadel, B., de Oliveira Costa, M. S., Pagliari, C., & Morris, D. (2021). How shades of truth and age affect responses to COVID-19 (Mis)information: Randomized survey experiment among WhatsApp users in UK and Brazil. Humanities and Social Sciences Communications, 8(1), 88. https://doi.org/10.1057/s41599-021-00752-7
   Google Scholar
• World Health Organization (2020a). FACT: Drinking methanol, ethanol or bleach DOES NOT prevent or cure COVID-19 and can be extremely dangerous. WHO. https://www.who.int/images/default-source/health-topics/coronavirus/myth-busters/web-mythbusters/26-revised.png?sfvrsn=7d5199ac_2
   Google Scholar
• World Health Organization (2020b). Coronavirus disease (COVID-19) advice for the public: Mythbusters. WHO. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public/myth-busters
   Google Scholar
• Xiang, H., Zhou, J., & Xie, B. (2022). AI tools for debunking online spam reviews? Trust of younger and older adults in AI detection criteria. Behaviour & Information Technology, 1–20. https://doi.org/10.1080/0144929X.2021.2024252
   Web of Science ®Google Scholar
• Zhao, Z. (2021). Analysis on the “Douyin (Tiktok) Mania” phenomenon based on recommendation algorithms. E3S Web of Conferences, 235, 03029. https://doi.org/10.1051/e3sconf/202123503029
   Google Scholar