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Research Articles

Health misinformation: what it is, why people believe it, how to counter it

, &
Pages 381-410 | Received 20 May 2022, Accepted 07 Jun 2023, Published online: 20 Jun 2023

References

  • Acerbi, A., Altay, S., & Mercier, H. (2022). Research note: Fighting misinformation or fighting for information? Harvard Kennedy School Misinformation Review, 3(1), 1–15. https://doi.org/10.37016/mr-2020-87
  • Ackerknecht, E. H. (2016). A short history of medicine. Johns Hopkins University Press.
  • Agley, J., & Xiao, Y. (2021). Misinformation about COVID-19: Evidence for differential latent profiles and a strong association with trust in science. BMC Public Health, 21(1), 1–12. https://doi.org/10.1186/s12889-020-10103-x
  • Al Khaja, K. A. J., AlKhaja, A. K., & Sequeira, R. P. (2018). Drug information, misinformation, and disinformation on social media: A content analysis study. Journal of Public Health Policy, 39(3), 343–357. https://doi.org/10.1057/s41271-018-0131-2
  • Allen, J., Howland, B., Mobius, M., Rothschild, D., & Watts, D. J. (2020). Evaluating the fake news problem at the scale of the information ecosystem. Science Advances, 6(14), Article eaay3539. https://doi.org/10.1126/sciadv.aay3539
  • Allen, J., Martel, C., & Rand, D. G. (2022, April). Birds of a feather don’t fact-check each other: Partisanship and the evaluation of news in Twitter’s Birdwatch crowdsourced fact-checking program. CHI Conference on Human Factors in Computing Systems (pp. 1–19). https://doi.org/10.1145/3491102.3502040
  • Altay, S., Berriche, M., & Acerbi, A. (2023). Misinformation on misinformation: Conceptual and methodological challenges. Social Media+Society, 9(1), 1–13. https://doi.org/10.1177/20563051221150412.
  • Amin, A. B., Bednarczyk, R. A., Ray, C. E., Melchiori, K. J., Graham, J., Huntsinger, J. R., & Omer, S. B. (2017). Association of moral values with vaccine hesitancy. Nature Human Behaviour, 1(12), 873–880. https://doi.org/10.1038/s41562-017-0256-5
  • Ansani, A., Marini, M., Cecconi, C., Dragoni, D., Rinallo, E., Poggi, I., & Mallia, L. (2022). Analyzing the perceived utility of Covid-19 countermeasures: The role of pronominalization, moral foundations, moral disengagement, fake news embracing, and health anxiety. Psychological Reports, 125(5), 2591–2622. https://doi.org/10.1177/00332941211027829
  • Arora, V. M., Rousseau, D., & Schwitzer, G. (2019). Why bolstering trust in journalism could help strengthen trust in medicine. JAMA, 321(22), 2159–2160. https://doi.org/10.1001/jama.2019.0636
  • Au, C. H., Ho, K. K. W., & Chiu, D. K. W. (2021). Stopping healthcare misinformation: The effect of financial incentives and legislation. Health Policy, 125(5), 627–633. https://doi.org/10.1016/j.healthpol.2021.02.010
  • Austin, E. W., Borah, P., & Domgaard, S. (2021). COVID-19 disinformation and political engagement among communities of color: The role of media literacy. Harvard Kennedy School Misinformation Review, 1, 1–15. https://doi.org/10.37016/mr-2020-58
  • Bago, B., Rosenzweig, L. R., Berinsky, A. J., & Rand, D. G. (2022). Emotion may predict susceptibility to fake news but emotion regulation does not seem to help. Cognition and Emotion, 36(6), 1166–1180. https://doi.org/10.1080/02699931.2022.2090318
  • Barua, Z., Barua, S., Aktar, S., Kabir, N., & Li, M. (2020). Effects of misinformation on COVID-19 individual responses and recommendations for resilience of disastrous consequences of misinformation. Progress in Disaster Science, 8, 100119. http://doi.org/10.1016/j.pdisas.2020.100119
  • Bautista, J. R., Zhang, Y., & Gwizdka, J. (2022). Professional identity and perceived crisis severity as antecedents of healthcare professionals’ responses to health misinformation on social media. International Conference on Information (pp. 273–291). https://doi.org/10.1007/978-3-030-96960-8_19
  • Bean, S. J. (2011). Emerging and continuing trends in vaccine opposition website content. Vaccine, 29(10), 1874–1880. https://doi.org/10.1016/j.vaccine.2011.01.003
  • Betsch, C., Korn, L., Felgendreff, L., Eitze, S., & Sprengholz, P. (2020). Infographic on SARS-CoV-2 airborne transmission improves opponents’ view of the benefits of masks: Evidence from serial cross-sectional and experimental data [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/ac2q4
  • Bode, L., & Vraga, E. (2021). The Swiss cheese model for mitigating online misinformation. Bulletin of the Atomic Scientists, 77(3), 129–133. https://doi.org/10.1080/00963402.2021.1912170
  • Bode, L., & Vraga, E. K. (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. https://doi.org/10.1111/jcom.12166
  • Bode, L., Vraga, E. K., & Tully, M. (2021). Correcting misperceptions about genetically modified food on social media: Examining the impact of experts, social media heuristics, and the gateway belief model. Science Communication, 43(2), 225–251. https://doi.org/10.1177/1075547020981375
  • Braddock, K., & Dillard, J. P. (2016). Meta-analytic evidence for the persuasive effect of narratives on beliefs, attitudes, intentions, and behaviors. Communication Monographs, 83(4), 446–467. https://doi.org/10.1080/03637751.2015.1128555
  • Broniatowski, D. A., Jamison, A. M., Qi, S., AlKulaib, L., Chen, T., Benton, A., Quinn, S. C., & Dredze, M. (2018). Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate. American Journal of Public Health, 108(10), 1378–1384. https://doi.org/10.2105/AJPH.2018.304567
  • Carey, J. M., Guess, A. M., Loewen, P. J., Merkley, E., Nyhan, B., Phillips, J. B., & Reifler, J. (2022). The ephemeral effects of fact-checks on COVID-19 misperceptions in the United States, Great Britain and Canada. Nature Human Behaviour, 6(2), 236–243. https://doi.org/10.1038/s41562-021-01278-3
  • Carnahan, D., Hao, Q., Jiang, X., & Lee, H. (2018). Feeling fine about being wrong: The influence of self-affirmation on the effectiveness of corrective information. Human Communication Research, 44(3), 274–298. https://doi.org/10.1093/hcr/hqy001
  • Carrico, A. R., Spoden, M., Wallston, K. A., & Vandenbergh, M. P. (2013). The environmental cost of misinformation: Why the recommendation to use elevated temperatures for handwashing is problematic. International Journal of Consumer Studies, 37(4), 433–441. http://doi.org/10.1111/ijcs.2013.37.issue-4
  • Center for Countering Digital Hate. (2021). The disinformation dozen. Center for Countering Digital Hate (CCDH). https://www.counterhate.com/disinformationdozen.
  • Centers for Disease Control and Prevention. (2021, November 3). How to address COVID-19 vaccine misinformation. Centers for Disease Control and Prevention. https://www.cdc.gov/vaccines/covid-19/health-departments/addressing-vaccine-misinformation.html.
  • Centers for Disease Control and Prevention. (2022). COVID-19 vaccine facts. https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html.
  • Chan, M. P. S., Jones, C. R., Hall Jamieson, K., & Albarracín, D. (2017). Debunking: A meta-analysis of the psychological efficacy of messages countering misinformation. Psychological Science, 28(11), 1531–1546. https://doi.org/10.1177/0956797617714579
  • Chen, L., Wang, X., & Peng, T.-Q. (2018). Nature and diffusion of gynecologic cancer-related misinformation on social media: Analysis of tweets. Journal of Medical Internet Research, 20(10), Article e11515. https://doi.org/10.2196/11515
  • Chou, W.-Y., Gaysynsky, A., & Cappella, J. N. (2020). Where we go from here: Health misinformation on social media. American Journal of Public Health, 110(S3), S273–S275. https://doi.org/10.2105/AJPH.2020.305905
  • Chou, W.-Y., Oh, A., & Klein, W. M. P. (2018). Addressing health-related misinformation on social media. JAMA: Journal of the American Medical Association, 320(23), 2417–2418. https://doi.org/10.1001/jama.2018.16865
  • Chou, W. Y. S., & Budenz, A. (2020). Considering emotion in COVID-19 vaccine communication: Addressing vaccine hesitancy and fostering vaccine confidence. Health Communication, 35(14), 1718–1722. https://doi.org/10.1080/10410236.2020.1838096
  • Chu, J., Pink, S. L., & Willer, R. (2021). Religious identity cues increase vaccination intentions and trust in medical experts among American Christians. Proceedings of the National Academy of Sciences, 118(49), 1–3. https://doi.org/10.1073/pnas.2106481118
  • Cook, J., Lewandowsky, S., & Ecker, U. K. H. (2017). Neutralizing misinformation through inoculation: Exposing misleading argumentation techniques reduces their influence. PLoS ONE, 12(5), Article e0175799. https://doi.org/10.1371/journal.pone.0175799
  • Cook, J., Oreskes, N., Doran, P. T., Anderegg, W. R. L., Verheggen, B., Maibach, E. W., Carlton, J. S., Lewandowsky, S., Skuce, A. G., Green, S. A., Nuccitelli, D., Jacobs, P., Richardson, M., Winkler, B., Painting, R., & Rice, K. (2016). Consensus on consensus: A synthesis of consensus estimates on human-caused global warming. Environmental Research Letters, 11(4), Article 048002. https://doi.org/10.1088/1748-9326/11/4/048002
  • Dahlstrom, M. F. (2014). Using narratives and storytelling to communicate science with nonexpert audiences. Proceedings of the National Academy of Sciences, 111(suppl 4), 13614–13620. https://doi.org/10.1073/pnas.1320645111
  • Dechêne, A., Stahl, C., Hansen, J., & Wänke, M. (2010). The truth about the truth: A meta-analytic review of the truth effect. Personality and Social Psychology Review, 14(2), 238–257. https://doi.org/10.1177/1088868309352251
  • De Keersmaecker, J., Dunning, D., Pennycook, G., Rand, D. G., Sanchez, C., Unkelbach, C., & Roets, A. (2020). Investigating the robustness of the illusory truth effect across individual differences in cognitive ability, need for cognitive closure, and cognitive style. Personality and Social Psychology Bulletin, 46(2), 204–215. https://doi.org/10.1177/0146167219853844
  • DeMora, S. L., Merolla, J. L., Newman, B., & Zechmeister, E. J. (2021). Reducing mask resistance among White evangelical Christians with value-consistent messages. Proceedings of the National Academy of Sciences, 118(21), 1–3. https://doi.org/10.1073/pnas.2101723118
  • Dempsey, R. C., McAlaney, J., & Bewick, B. M. (2018). A critical appraisal of the social norms approach as an interventional strategy for health-related behavior and attitude change. Frontiers in Psychology, 9, Article 2180. https://doi.org/10.3389/fpsyg.2018.02180
  • Deshpande, A. K., Deshpande, S. B., & O’Brien, C. (2018). A study of social media utilization by individuals with tinnitus. American Journal of Audiology, 27(4), 559–569. https://doi.org/10.1044/2018_AJA-18-0033
  • Dillard, J. P., & Shen, L. (2018). Threat appeals as multi-emotion messages: An argument structure model of fear and disgust. Human Communication Research, 44(2), 103–126. https://doi.org/10.1093/hcr/hqx002
  • Dubois, E., Minaeian, S., Paquet-Labelle, A., & Beaudry, S. (2020). Who to trust on social media: How opinion leaders and seekers avoid disinformation and echo chambers. Social Media + Society, 6(2), 1–13. https://doi.org/10.1177/2056305120913993
  • Duplaga, M. (2020). The determinants of conspiracy beliefs related to the COVID-19 pandemic in a nationally representative sample of internet users. International Journal of Environmental Research and Public Health, 17(21), 1–15. https://doi.org/10.3390/ijerph17217818
  • Ecker, U. K., & Antonio, L. M. (2021). Can you believe it? An investigation into the impact of retraction source credibility on the continued influence effect. Memory & Cognition, 49(4), 631–644. https://doi.org/10.3758/s13421-020-01129-y
  • Ecker, U. K., Lewandowsky, S., Chang, E. P., & Pillai, R. (2014). The effects of subtle misinformation in news headlines. Journal of Experimental Psychology: Applied, 20(4), 323–335. https://doi.org/10.1037/xap0000028
  • Ecker, U. K., Lewandowsky, S., Cook, J., Schmid, P., Fazio, L. K., Brashier, N., Kendeou, P., Vraga, E. K., & Amazeen, M. A. (2022). The psychological drivers of misinformation belief and its resistance to correction. Nature Reviews Psychology, 1(1), 13–29. https://doi.org/10.1038/s44159-021-00006-y
  • Evans, D. (2003). Hierarchy of evidence: A framework for ranking evidence evaluating healthcare interventions. Journal of Clinical Nursing, 12(1), 77–84. https://doi.org/10.1046/j.1365-2702.2003.00662.x
  • FactCheck.org. (2020, June 8). Does vitamin D protect against COVID-19? https://www.factcheck.org/2020/06/does-vitamin-d-protect-against-covid-19/.
  • FactCheck.Org. (2022, October 21). States determine school immunization requirements, not CDC. https://www.factcheck.org/2022/10/scicheck-states-determine-school-immunization-requirements-not-cdc/
  • 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
  • Fazio, L. K., Rand, D. G., & Pennycook, G. (2019). Repetition increases perceived truth equally for plausible and implausible statements. Psychonomic Bulletin & Review, 26(5), 1705–1710. https://doi.org/10.3758/s13423-019-01651-4
  • Featherstone, J., & Zhang, J. (2020). Feeling angry: The effects of vaccine misinformation and refutational messages on negative emotions and vaccination attitude. Journal of Health Communication, 25(9), 692–702. https://doi.org/10.1080/10810730.2020.1838671
  • Ferrand, J., Hockensmith, R., Houghton, R. F., & Walsh-Buhi, E. R. (2020). Evaluating smart assistant responses for accuracy and misinformation regarding human papillomavirus vaccination: Content analysis study. Journal of Medical Internet Research, 22(8), Article e19018. https://doi.org/10.2196/19018
  • Fielding, K. S., Hornsey, M. J., Thai, H. A., & Toh, L. L. (2020). Using ingroup messengers and ingroup values to promote climate change policy. Climatic Change, 158(2), 181–199. https://doi.org/10.1007/s10584-019-02561-z
  • Fode, M., Nolsøe, A. B., Jacobsen, F. M., Russo, G. I., Østergren, P. B., Jensen, C. F. S., Albersen, M., Capogrosso, P., Sønksen, J., & EAU YAU Men’s Health Working Group. (2020). Quality of information in YouTube videos on erectile dysfunction. Sexual Medicine, 8(3), 408–413. https://doi.org/10.1016/j.esxm.2020.05.007
  • Food and Drug Administration. (n.d.). Beware of vaping products with unproven health claims. https://www.fda.gov/consumers/consumer-updates/beware-vaping-products-unproven-health-claims
  • Gesser-Edelsburg, A., Diamant, A., Hijazi, R., & Mesch, G. S. (2018). Correcting misinformation by health organizations during measles outbreaks: A controlled experiment. PloS One, 13(12), Article e0209505. https://doi.org/10.1371/journal.pone.0209505
  • Ghezzi, P., Bannister, P. G., Casino, G., Catalani, A., Goldman, M., Morley, J., Neunez, M., Prados-Bo, A., Smeesters, P. R., Taddeo, M., Vanzolini, T., & Floridi, L. (2020). Online information of vaccines: Information quality, not only privacy, is an ethical responsibility of search engines. Frontiers in Medicine, 7, Article 400. https://doi.org/10.3389/fmed.2020.00400
  • Gilbert, D. T. (1991). How mental systems believe. American Psychologist, 46(2), 107–119. https://doi.org/10.1037/0003-066X.46.2.107
  • Globig, L. K., Holtz, N., & Sharot, T. (2022). Changing the incentive structure of social media platforms to halt the spread of misinformation. PsyArXiv. https://doi.org/10.31234/osf.io/26j8w
  • Gollust, S. E., Fowler, E. F., & Niederdeppe, J. (2019). Television news coverage of public health issues and implications for public health policy and practice. Annual Review of Public Health, 40(1), 167–185. https://doi.org/10.1146/annurev-publhealth-040218-044017
  • Gorwa, R., Binns, R., & Katzenbach, C. (2020). Algorithmic content moderation: Technical and political challenges in the automation of platform governance. Big Data & Society, 7(1), 1–15. https://doi.org/10.1177/2053951719897945
  • Greenstein, M., & Franklin, N. (2020). Anger increases susceptibility to misinformation. Experimental Psychology, 67(3), 202–209. https://doi.org/10.1027/1618-3169/a000489
  • Grinberg, N., Joseph, K., Friedland, L., Swire-Thompson, B., & Lazer, D. (2019). Fake news on Twitter during the 2016 US presidential election. Science, 363(6425), 374–378. https://doi.org/10.1126/science.aau2706
  • Guess, A. M., & Lyons, B. A. (2020). Misinformation, disinformation, and online propaganda. In N. Persily, & J. A. Tucker (Eds.), Social media and democracy: The state of the field, prospects for reform (pp. 10–33). Cambridge University Press.
  • Guess, A. M., Nyhan, B., & Reifler, J. (2020). Exposure to untrustworthy websites in the 2016 US election. Nature Human Behaviour, 4(5), 472–480. https://doi.org/10.1038/s41562-020-0833-x
  • Hart, R. (2021). Americans are poisoning themselves in large numbers with bleach, hand sanitizer and quack Covid cures like Ivermectin. Forbes. https://www.forbes.com/sites/roberthart/2021/09/17/americans-are-poisoning-themselves-in-large-numbers-with-bleach-hand-sanitizer-and-quack-covid-cures-like-ivermectin/
  • Harvard Medical School. (2020, October 1). 10 flu myths. https://www.health.harvard.edu/diseases-and-conditions/10-flumyths.
  • Heley, K., Gaysynsky, A., & King, A. J. (2022). Missing the bigger picture: The need for more research on visual health misinformation. Science Communication, 44(4), 514–527. https://doi.org/10.1177/10755470221113833
  • Holland, R. W., de Vries, M., Hermsen, B., & van Knippenberg, A. (2012). Mood and the attitude–behavior link: The happy act on impulse, the sad think twice. Social Psychological and Personality Science, 3(3), 356–364. https://doi.org/10.1177/1948550611421635
  • Hornik, R., Kikut, A., Jesch, E., Woko, C., Siegel, L., & Kim, K. (2021). Association of COVID-19 misinformation with face mask wearing and social distancing in a nationally representative US sample. Health Communication, 36(1), 6–14. https://doi.org/10.1080/10410236.2020.1847437
  • Hornsey, M. J., Oppes, T., & Svensson, A. (2002). It’s ok if we say it, but you can’t”: Responses to intergroup and intragroup criticism. European Journal of Social Psychology, 32(3), 293–307. https://doi.org/10.1002/ejsp.90
  • Houts, P. S., Doak, C. C., Doak, L. G., & Loscalzo, M. J. (2006). The role of pictures in improving health communication: A review of research on attention, comprehension, recall, and adherence. Patient Education and Counseling, 61(2), 173–190. https://doi.org/10.1016/j.pec.2005.05.004
  • Hsu, T., & Thompson, S. A. (2023, February 8). Chatbots and AI are helping spread misinformation online. The New York Times. https://www.nytimes.com/2023/02/08/technology/ai-chatbots-disinformation.html.
  • Iles, I. A., Gillman, A. S., Platter, H. N., Ferrer, R. A., & Klein, W. M. (2021). Investigating the potential of inoculation messages and self-affirmation in reducing the effects of health misinformation. Science Communication, 43(6), 768–804. https://doi.org/10.1177/10755470211048480
  • Jamieson, K., & Albarracín, D. (2020). The relation between media consumption and misinformation at the outset of the SARS-CoV-2 pandemic in the US. Harvard Kennedy School Misinformation Review, 1, 1–22. https://doi.org/10.37016/mr-2020-012
  • Janmohamed, K., Walter, N., Nyhan, K., Khoshnood, K., Tucker, J. D., Sangngam, N., Altice, F. L., Ding, Q., Wong, A., Schwitzky, Z. M., Bauch, C. T., De Choudhury, M., Papakyriakopoulos, O., & Kumar, N. (2021). Interventions to mitigate COVID-19 misinformation: A systematic review and meta-analysis. Journal of Health Communication, 26(12), 846–857. https://doi.org/10.1080/10810730.2021.2021460
  • Janmohamed, K., Walter, N., Sangngam, N., Hampsher, S., Nyhan, K., De Choudhury, M., & Kumar, N. (2022). Interventions to mitigate vaping misinformation: A meta-analysis. Journal of Health Communication, 27(2), 84–92. https://doi.org/10.1080/10810730.2022.2044941
  • Johar, G. V. (2022). Untangling the web of misinformation and false beliefs. Journal of Consumer Psychology, 32(2), 374–383. https://doi.org/10.1002/jcpy.1288
  • Johns Hopkins Medicine. (2022a). 5 vaping facts you need to know. https://www.hopkinsmedicine.org/health/wellness-andprevention/5-truths-you-need-to-know-about-vaping.
  • Johns Hopkins Medicine. (2022b). 6 mammogram myths. https://www.hopkinsmedicine.org/health/conditions-anddiseases/breast-cancer/6-mammogram-myths.
  • Jolley, D., & Douglas, K. M. (2014). The effects of anti-vaccine conspiracy theories on vaccination intentions. PloS One, 9(2), Article e89177. https://doi.org/10.1371/journal.pone.0089177
  • Josephson, S., Kelly, J., & Smith, K. (Eds.) (2020). Handbook of visual communication: Theory, methods, and media (2nd ed.). Routledge.
  • Kahan, D. M., Braman, D., Cohen, G. L., Gastil, J., & Slovic, P. (2010). Who fears the HPV vaccine, who doesn’t, and why? An experimental study of the mechanisms of cultural cognition. Law and Human Behavior, 34(6), 501–516. https://doi.org/10.1007/s10979-009-9201-0
  • Kahan, D. M., Jenkins-Smith, H., & Braman, D. (2011). Cultural cognition of scientific consensus. Journal of Risk Research, 14(2), 147–174. https://doi.org/10.1080/13669877.2010.511246
  • Kaiser Family Foundation. (2021, November 8). COVID-19 misinformation is ubiquitous: 78% of the public believes or is unsure about at least one false statement, and nearly a third believe at least four of eight false statements tested. https://www.kff.org/coronavirus-covid-19/press-release/covid-19-misinformation-is-ubiquitous-78-of-the-public-believes-or-is-unsure-about-at-least-one-false-statement-and-nearly-at-third-believe-at-least-four-of-eight-false-statements-tested/
  • Kata, A. (2010). A postmodern Pandora's box: Anti-vaccination misinformation on the Internet. Vaccine, 28(7), 1709–1716. https://doi.org/10.1016/j.vaccine.2009.12.022
  • Kennedy, B., Tyson, A., & Funk, C. (2022, February 15). Americans’ trust in scientists, other groups decline. Pew Research Center. https://www.pewresearch.org/science/2022/02/15/americans-trust-in-scientists-other-groups-declines/
  • Kim, H. K., Ahn, J., Atkinson, L., & Kahlor, L. A. (2020). Effects of COVID-19 misinformation on information seeking, avoidance, and processing: A multicountry comparative study. Science Communication, 42(5), 586–615. https://doi.org/10.1177/1075547020959670
  • Kirzinger, A., Kearney, A., Hamel, L., & Brodie, M. (2021, November 16). KFF COVID-19 Vaccine monitor: The increasing importance of partisanship in predicting COVID-19 vaccination status. Kaiser Family Foundation. https://www.kff.org/coronavirus-covid-19/poll-finding/importance-of-partisanship-predicting-vaccination-status/
  • Krause, N. M., Beets, B., Howell, E. L., Tosteson, H., & Scheufele, D. A. (2023). Collateral damage from debunking mRNA vaccine misinformation. Vaccine, 41(4), 922–929. https://doi.org/10.1016/j.vaccine.2022.12.045
  • Krause, N. M., Freiling, I., & Scheufele, D. A. (2022). The “infodemic” infodemic: Toward a more nuanced understanding of truth-claims and the need for (not) combatting misinformation. The ANNALS of the American Academy of Political and Social Science, 700(1), 112–123. https://doi.org/10.1177/00027162221086263
  • Krishna, A., & Thompson, T. L. (2021). Misinformation about health: A review of health communication and misinformation scholarship. American Behavioral Scientist, 65(2), 316–332. https://doi.org/10.1177/0002764219878223
  • Krishnan, N., Gu, J., Tromble, R., & Abroms, L. C. (2021). Research note: Examining how various social media platforms have responded to COVID-19 misinformation. Harvard Kennedy School Misinformation Review, 2(6), 1–25. https://doi.org/10.37016/mr-2020-85
  • Kuklinski, J. H., Quirk, P. J., Jerit, J., Schwieder, D., & Rich, R. F. (2000). Misinformation and the currency of democratic citizenship. The Journal of Politics, 62(3), 790–816. https://doi.org/10.1111/0022-3816.00033
  • Larsson, A., Oxman, A. D., Carling, C., & Herrin, J. (2003). Medical messages in the media - barriers and solutions to improving medical journalism: Barriers and solutions to improving medical journalism. Health Expectations, 6(4), 323–331. https://doi.org/10.1046/j.1369-7625.2003.00228.x
  • Lewandowsky, S., Ecker, U. K., Seifert, C. M., Schwarz, N., & Cook, J. (2012). Misinformation and its correction: Continued influence and successful debiasing. Psychological Science in the Public Interest, 13(3), 106–131. https://doi.org/10.1177/1529100612451018
  • Li, W., Watts, J., & Tan, N. (2019). From screen to screening: Entertainment and news television media effects on cancer screening behaviors. Journal of Health Communication, 24(4), 385–394. https://doi.org/10.1080/10810730.2019.1607954
  • 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
  • Lunz Trujillo, K., Motta, M., Callaghan, T., & Sylvester, S. (2021). Correcting misperceptions about the MMR vaccine: Using psychological risk factors to inform targeted communication strategies. Political Research Quarterly, 74(2), 464–478. https://doi.org/10.1177/1065912920907695
  • Massey, P. M., Kearney, M. D., Hauer, M. K., Selvan, P., Koku, E., & Leader, A. E. (2020). Dimensions of misinformation about the HPV vaccine on Instagram: Content and network analysis of social media characteristics. Journal of Medical Internet Research, 22(12), Article e21451. https://doi.org/10.2196/21451
  • McGlone, M. S., & Tofighbakhsh, J. (2000). Birds of a feather flock conjointly (?): Rhyme as reason in aphorisms. Psychological Science, 11(5), 424–428. https://doi.org/10.1111/1467-9280.00282
  • McLeod, J. M., & Pan, Z. (2004). Concept explication and theory construction. In S. Dunwoody, L. Becker, & G. Kosicki (Eds.), The evolution of key mass communication concepts: Honoring Jack M. McLeod (pp. 13–76). Hampton Press Creskill.
  • Messaris, P., & Abraham, L. (2001). The role of images in framing news stories. In S. D. Reese, O. H. Gandy, & A. E. Grant (Eds.), Framing public life (pp. 231–242). Routledge.
  • Meta. (2020, December 18). Keeping people safe and informed about the coronavirus. https://about.fb.com/news/2020/12/coronavirus/#coronavirus-info-center
  • Modirrousta-Galian, A., & Higham, P. A. (2023). Gamified inoculation interventions do not improve discrimination between true and fake news: Reanalyzing existing research with receiver operating characteristic analysis. Journal of Experimental Psychology: General. Advance Online Publication. https://doi.org/10.1037/xge0001395
  • Motta, M. (2021). Republicans, not democrats, are more likely to endorse anti-vaccine misinformation. American Politics Research, 49(5), 428–438. https://doi.org/10.1177/1532673X211022639
  • Motta, M., & Callaghan, T. (2020). The pervasiveness and policy consequences of medical folk wisdom in the U.S. Scientific Reports, 10(1), Article 10722. https://doi.org/10.1038/s41598-020-67744-6
  • Murad, M. H., Asi, N., Alsawas, M., & Alahdab, F. (2016). New evidence pyramid. Evidence Based Medicine, 21(4), 125–127. https://doi.org/10.1136/ebmed-2016-110401
  • Nabi, R. L. (2003). Exploring the framing effects of emotion: Do discrete emotions differentially influence information accessibility, information seeking, and policy preference? Communication Research, 30(2), 224–247. https://doi.org/10.1177/0093650202250881
  • Nan, X., Wang, Y., & Thier, K. (2021). Health misinformation. In T. Thompson & N. Harrington (Eds.), The Routledge handbook of health communication (3rd ed., pp. 318–332). Routledge. https://doi.org/10.4324/9781003043379-27
  • Nan, X., Wang, Y., & Thier, K. (2022). Why people believe health misinformation and who are at risk? A systematic review of individual differences in susceptibility to health misinformation. Social Science & Medicine, 314, Article 115398. https://doi.org/10.1016/j.socscimed.2022.115398
  • National Academies of Sciences, Engineering, and Medicine. (2020). Addressing health misinformation with health literacy strategies: Proceedings of a workshop—in brief. The National Academies Press. https://doi.org/10.17226/26021
  • National Cancer Institute. (2020). Cancer control continuum. https://cancercontrol.cancer.gov/about-dccps/about-cc/cancer-control-continuum.
  • National Cancer Institute. (2022, October 28). Common cancer myths and misconceptions. https://www.cancer.gov/about-cancer/causes-prevention/risk/myths.
  • National Foundation for Infectious Diseases. (2022, October). Myths and facts about influenza (flu). https://www.nfid.org/infectious-diseases/myths-and-facts-about-influenza-forconsumers/#:~:text=Myth%3A%20Healthy%20people%20don't,to%20flu%20and%20related%20complications.
  • National Institute of Diabetes and Digestive and Kidney Diseases. (2017, April). Some myths about nutrition & physical activity. https://www.niddk.nih.gov/health-information/weight-management/myths-nutrition-physical-activity.
  • National Institute on Aging. (2021, August 4). 11 myths about Alzheimer’s Disease. https://www.nia.nih.gov/health/11-mythsabout-alzheimers-disease.
  • Newman, E. J., Garry, M., Bernstein, D. M., Kantner, J., & Lindsay, D. S. (2012). Nonprobative photographs (or words) inflate truthiness. Psychonomic Bulletin & Review, 19(5), 969–974. https://doi.org/10.3758/s13423-012-0292-0
  • Nyhan, B. (2021). Why the backfire effect does not explain the durability of political misperceptions. Proceedings of the National Academy of Sciences, 118(15), Article e1912440117. https://doi.org/10.1073/pnas.1912440117
  • Nyhan, B., & Reifler, J. (2010). When corrections fail: The persistence of political misperceptions. Political Behavior, 32(2), 303–330. https://doi.org/10.1007/s11109-010-9112-2
  • Nyhan, B., & Reifler, J. (2019). The roles of information deficits and identity threat in the prevalence of misperceptions. Journal of Elections, Public Opinion and Parties, 29(2), 222–244. https://doi.org/10.1080/17457289.2018.1465061
  • O'Brien, T. C., Palmer, R., & Albarracin, D. (2021). Misplaced trust: When trust in science fosters belief in pseudoscience and the benefits of critical evaluation. Journal of Experimental Social Psychology, 96, Article 104184. https://doi.org/10.1016/j.jesp.2021.104184
  • Office of the Surgeon General. (2021). Confronting health misinformation: The US surgeon general’s advisory on building a healthy information environment [Internet]. https://www.hhs.gov/sites/default/files/surgeon-general-misinformation-advisory.pdf.
  • O’Keefe, D. J. (2015). Persuasion: Theory and research. SAGE Publications.
  • Onorato, R. S., & Turner, J. C. (2004). Fluidity in the self-concept: The shift from personal to social identity. European Journal of Social Psychology, 34(3), 257–278. https://doi.org/10.1002/ejsp.195
  • Oschatz, C., & Marker, C. (2020). Long-term persuasive effects in narrative communication research: A meta-analysis. Journal of Communication, 70(4), 473–496. https://doi.org/10.1093/joc/jqaa017
  • Oxman, M., Larun, L., Gaxiola, G. P., Alsaid, D., Qasim, A., Rose, C. J., Bischoff, K., & Oxman, A. D. (2021). Quality of information in news media reports about the effects of health interventions: Systematic review and meta-analyses. F1000Research, 10, Article 433. https://doi.org/10.12688/f1000research.52894.2
  • Pennycook, G., Cannon, T. D., & Rand, D. G. (2018). Prior exposure increases perceived accuracy of fake news. Journal of Experimental Psychology: General, 147(12), 1865–1880. https://doi.org/10.1037/xge0000465
  • 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
  • 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
  • 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
  • Pennycook, G., & Rand, D. G. (2021). The psychology of fake news. Trends in Cognitive Sciences, 25(5), 388–402. https://doi.org/10.1016/j.tics.2021.02.007
  • Pennycook, G., & Rand, D. G. (2022). Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation. Nature Communications, 13(1), 1–12. https://doi.org/10.1038/s41467-022-30073-5
  • Petersen, M. B., Bor, A., Jørgensen, F., & Lindholt, M. F. (2021). Transparent communication about negative features of COVID-19 vaccines decreases acceptance but increases trust. Proceedings of the National Academy of Sciences, 118(29), Article e2024597118. https://doi.org/10.1073/pnas.2024597118
  • Petty, R. E., & Cacioppo, J. T.. (1986). Communication and persuasion: Central and peripheral routes to attitude change (1st ed. ). Springer. https://doi.org/10.1007/978-1-4612-4964-1_1.
  • Pink, S. L., Chu, J., Druckman, J. N., Rand, D. G., & Willer, R. (2021). Elite party cues increase vaccination intentions among Republicans. Proceedings of the National Academy of Sciences, 118(32), Article e2106559118. https://doi.org/10.1073/pnas.2106559118
  • Pluviano, S., Della Sala, S., & Watt, C. (2020). The effects of source expertise and trustworthiness on recollection: The case of vaccine misinformation. Cognitive Processing, 21(3), 321–330. https://doi.org/10.1007/s10339-020-00974-8
  • Porter, S., Spencer, L., & Birt, A. R. (2003). Blinded by emotion? Effect of the emotionality of a scene on susceptibility to false memories. Canadian Journal of Behavioural Science / Revue Canadienne des Sciences du Comportement, 35(3), 165–175. https://doi.org/10.1037/h0087198
  • Pytlik, N., Soll, D., & Mehl, S. (2020). Thinking preferences and conspiracy belief: Intuitive thinking and the jumping to conclusions-bias as a basis for the belief in conspiracy theories. Frontiers in Psychiatry, 11, Article 987. https://doi.org/10.3389/fpsyt.2020.568942
  • Rathje, S., Roozenbeek, J., Traberg, C. S., Van Bavel, J. J., & Van der Linden, S. (2022). Letter to the editors of Psychological Science: Meta-analysis reveals that accuracy nudges have little to no effect for US conservatives: Regarding Pennycook et al. (2020). Psychological Science. https://doi.org/10.25384/SAGE.12594110.v2.
  • Rathje, S., Roozenbeek, J., Van Bavel, J. J., & van der Linden, S. (2023). Accuracy and social motivations shape judgements of (mis)information. Nature Human Behaviour. https://doi.org/10.1038/s41562-023-01540-w
  • Rauch, J. (2021). The constitution of knowledge: A defense of truth. Brookings Institution Press.
  • Reber, R., & Schwarz, N. (1999). Effects of perceptual fluency on judgments of truth. Consciousness and Cognition, 8(3), 338–342. https://doi.org/10.1006/ccog.1999.0386
  • Ren, Z. B., Dimant, E., & Schweitzer, M. (2023). Beyond belief: How social engagement motives influence the spread of conspiracy theories. Journal of Experimental Social Psychology, 104, Article 104421. https://doi.org/10.1016/j.jesp.2022.104421
  • Reuters. (2020, September 10). Fact check: Bill Gates is not responsible for COVID-19. https://www.reuters.com/article/ukfactcheck-gates/fact-check-bill-gates-is-not-responsible-for-covid-19-idUSKBN2613CK.
  • Robertson, C. E., Pretus, C., Rathje, S., Harris, E., & Van Bavel, J. J. (2022). How social identity shapes conspiratorial belief. Current Opinion in Psychology, 47, Article 101423. https://doi.org/10.1016/j.copsyc.2022.101423
  • Romer, D., & Jamieson, K. H. (2020). Conspiracy theories as barriers to controlling the spread of COVID-19 in the U.S. Social Science & Medicine, 263, 113356. http://doi.org/10.1016/j.socscimed.2020.113356
  • 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), Article 201199. https://doi.org/10.1098/rsos.201199
  • Roozenbeek, J., & van der Linden, S. (2019). Fake news game confers psychological resistance against online misinformation. Palgrave Communications, 5(1), 1–10. https://doi.org/10.1057/s41599-019-0279-9
  • Roozenbeek, J., & van der Linden, S. (2022). How to combat health misinformation: A psychological approach. American Journal of Health Promotion, 36(3), 569–575. https://doi.org/10.1177/08901171211070958
  • Rosenzweig, L. R., Bago, B., Berinsky, A. J., & Rand, D. G. (2021). Happiness and surprise are associated with worse truth discernment of COVID-19 headlines among social media users in Nigeria. Harvard Kennedy School Misinformation Review. http://doi.org/10.37016/mr-2020-000
  • Rossen, I., Hurlstone, M. J., Dunlop, P. D., & Lawrence, C. (2019). Accepters, fence sitters, or rejecters: Moral profiles of vaccination attitudes. Social Science & Medicine, 224, 23–27. https://doi.org/10.1016/j.socscimed.2019.01.038
  • Sallam, M., Dababseh, D., Yaseen, A., Al-Haidar, A., Taim, D., Eid, H., Ababneh, N. A., Bakri, F. G., & Mahafzah, A. (2020). COVID-19 misinformation: Mere harmless delusions or much more? A knowledge and attitude cross-sectional study among the general public residing in Jordan. PLoS ONE, 15(12), Article e0243264. https://doi.org/10.1371/journal.pone.0243264
  • Schaeffer, K. (2020, July 24). A look at the Americans who believe there is some truth to the conspiracy theory that COVID-19 was planned. Pew Research Center. https://www.pewresearch.org/fact-tank/2020/07/24/a-look-at-the-americans-who-believe-there-is-some-truth-to-the-conspiracy-theory-that-covid-19-was-planned/
  • Scherer, L. D., McPhetres, J., Pennycook, G., Kempe, A., Allen, L. A., Knoepke, C. E., Tate, C. E., & Matlock, D. D. (2021). Who is susceptible to online health misinformation? A test of four psychosocial hypotheses. Health Psychology, 40(4), 274–284.https://doi.org/10.1037/hea0000978
  • Scheufele, D. A., & Krause, N. M. (2019). Science audiences, misinformation, and fake news. Proceedings of the National Academy of Sciences, 116(16), 7662–7669. https://doi.org/10.1073/pnas.1805871115
  • Scheufele, D. A., Krause, N. M., & Freiling, I. (2021). Misinformed about the “infodemic?” Science’s ongoing struggle with misinformation. Journal of Applied Research in Memory and Cognition, 10(4), 522–526. https://doi.org/10.1016/j.jarmac.2021.10.009
  • Schwarz, N. (2018). Of fluency, beauty, and truth: Inferences from metacognitive experiences. In J. Proust, & M. Fortier (Eds.), Metacognitive diversity: An interdisciplinary approach (pp. 25–46). Oxford University Press.
  • Schwarz, N., Newman, E., & Leach, W. (2016). Making the truth stick & the myths fade: Lessons from cognitive psychology. Behavioral Science & Policy, 2(1), 85–95. https://doi.org/10.1353/bsp.2016.0009
  • Search Engine Land. (2022, September 9). Google helpful content update is now done rolling out. https://searchengineland.com/google-helpful-content-update-is-now-do ne-rolling-out-387832#:∼:text = Google%20has%20confirmed%20that%20the,ending%20on%20Se ptember%209%2C%202022
  • Sedlander, E., Bingenheimer, J. B., Lahiri, S., Thiongo, M., Gichangi, P., Munar, W., & Rimal, R. N. (2021). Does the belief that contraceptive use causes infertility actually affect use? Findings from a social network study in Kenya. Studies in Family Planning, 52(3), 343–359. http://doi.org/10.1111/sifp.v52.3
  • Shah, Z., Surian, D., Dyda, A., Coiera, E., Mandl, K. D., & Dunn, A. G. (2019). Automatically appraising the credibility of vaccine-related web pages shared on social media: A Twitter surveillance study. Journal of Medical Internet Research, 21(11), Article e14007. https://doi.org/10.2196/14007
  • Sharma, P. R., Wade, K. A., & Jobson, L. (2023). A systematic review of the relationship between emotion and susceptibility to misinformation. Memory (Hove, England), 31(1), 1–21. https://doi.org/10.1080/09658211.2022.2120623
  • Sharon, A. J., & Baram-Tsabari, A. (2020). Can science literacy help individuals identify misinformation in everyday life? Science Education, 104(5), 873–894. https://doi.org/10.1002/sce.21581
  • Shen, F., Sheer, V. C., & Li, R. (2015). Impact of narratives on persuasion in health communication: A meta-analysis. Journal of Advertising, 44(2), 105–113. http://doi.org/10.1080/00913367.2015.1018467
  • Simis, M. J., Madden, H., Cacciatore, M. A., & Yeo, S. K. (2016). The lure of rationality: Why does the deficit model persist in science communication? Public Understanding of Science, 25(4), 400–414. https://doi.org/10.1177/0963662516629749
  • Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2007). The affect heuristic. European Journal of Operational Research, 177(3), 1333–1352. https://doi.org/10.1016/j.ejor.2005.04.006
  • Southwell, B. G., Brennen, J. S. B., Paquin, R., Boudewyns, V., & Zeng, J. (2022). Defining and measuring scientific misinformation. The ANNALS of the American Academy of Political and Social Science, 700(1), 98–111. https://doi.org/10.1177/00027162221084709
  • Southwell, B. G., Niederdeppe, J., Cappella, J. N., Gaysynsky, A., Kelley, D. E., Oh, A., Peterson, E. B., & Chou, W.-Y. S. (2019). Misinformation as a misunderstood challenge to public health. American Journal of Preventive Medicine, 57(2), 282–285. https://doi.org/10.1016/j.amepre.2019.03.009
  • Southwell, B. G., Thorson, E. A., & Sheble, L. (2018). Misinformation and mass audiences. University of Texas Press.
  • Sternisko, A., Cichocka, A., Cislak, A., & Van Bavel, J. J. (2023). National narcissism predicts the belief in and the dissemination of conspiracy theories during the COVID-19 pandemic: Evidence from 56 countries. Personality and Social Psychology Bulletin, 49(1), 48–65. https://doi.org/10.1177/01461672211054947
  • Suarez-Lledo, V., & Alvarez-Galvez, J. (2021). Prevalence of health misinformation on social media: Systematic review. Journal of Medical Internet Research, 23(1), Article e17187. https://doi.org/10.2196/17187
  • Swami, V., Voracek, M., Stieger, S., Tran, U. S., & Furnham, A. (2014). Analytic thinking reduces belief in conspiracy theories. Cognition, 133(3), 572–585. https://doi.org/10.1016/j.cognition.2014.08.006
  • Swire-Thompson, B., & Lazer, D. (2020). Public health and online misinformation: Challenges and recommendations. Annual Review of Public Health, 41(1), 433–451. https://doi.org/10.1146/annurev-publhealth-040119-094127
  • Tan, A. S. L., Lee, C., & Chae, J. (2015). Exposure to health (mis) information: Lagged effects on young adults’ health behaviors and potential pathways. Journal of Communication, 65(4), 674–698. https://doi.org/10.1111/jcom.12163
  • Teovanović, P., Lukić, P., Zupan, Z., Lazić, A., Ninković, M., & Žeželj, I. (2021). Irrational beliefs differentially predict adherence to guidelines and pseudoscientific practices during the COVID-19 pandemic. Applied Cognitive Psychology, 35(2), 486–496. https://doi.org/10.1002/acp.3770
  • The Royal Society. (2016, May). Could eating GM food have an effect on my genes? https://royalsociety.org/topicspolicy/projects/gm-plants/could-eating-gm-food-have-an-effect-on-mygenes/#:~:text=No.,and%20the%20genes%20are%20fragmented.
  • This Is Our Shot. (2021, March 10). Press release: Health heroes launch #ThisIsOurShot campaign to promote COVID vaccines, fight Misinformation. https://thisisourshot.info/health-heroes-launch-thisisourshot-campaign-to-promote-covid-vaccines-fight-misinformation/
  • Traberg, C. S., & van der Linden, S. (2022). Birds of a feather are persuaded together: Perceived source credibility mediates the effect of political bias on misinformation susceptibility. Personality and Individual Differences, 185, 1–15. https://doi.org/10.1016/j.paid.2021.111269.
  • Twitter. (n.d.). How we address misinformation on Twitter. https://help.twitter.com/en/resources/addressing-misleading-info
  • USA Today. (2020, November 18). Fact check: Pfizer received COVID-19 vaccine data after Election Day, released within days. https://www.usatoday.com/story/news/factcheck/2020/11/18/fact-check-pfizer-received-covid-vaccine-data-after-electionday/6267242002/.
  • Uscinski, J. E., Enders, A. M., Klofstad, C., Seelig, M., Funchion, J., Everett, C., Wuchty, S., Premaratne, K., & Murthi, M. (2020). Why do people believe COVID-19 conspiracy theories? Harvard Kennedy School Misinformation Review, 1(3), 1–12. https://doi.org/10.37016/mr-2020-015
  • van der Linden, S., Roozenbeek, J., & Compton, J. (2020). Inoculating against fake news about COVID-19. Frontiers in Psychology, 11, 1–7https://doi.org/10.3389/fpsyg.2020.566790.
  • van der Meer, T. G., Hameleers, M., & Ohme, J. (2023). Can fighting misinformation have a negative spillover effect? How warnings for the threat of misinformation can decrease general news credibility. Journalism Studies, 1–21. https://doi.org/10.1080/1461670X.2023.2187652
  • Vincent, J. (2020, September 25). Twitter is bringing its ‘read before you retweet’ prompt to all users. The Verge. https://www.theverge.com/2020/9/25/21455635/twitter-read-before-you-tweet-article-prompt-rolling-out-globally-soon.
  • Viswanath, K., Lee, E. W., & Pinnamaneni, R. (2020). We need the lens of equity in COVID-19 communication. Health Communication, 35(14), 1743–1746. https://doi.org/10.1080/10410236.2020.1837445
  • Vraga, E. K., & Bode, L. (2020). Defining misinformation and understanding its bounded nature: Using expertise and evidence for describing misinformation. Political Communication, 37(1), 136–144. https://doi.org/10.1080/10584609.2020.1716500
  • Vraga, E. K., Bode, L., & Tully, M. (2022a). Creating news literacy messages to enhance expert corrections of misinformation on Twitter. Communication Research, 49(2), 245–267. https://doi.org/10.1177/0093650219898094
  • Vraga, E. K., Tully, M., & Bode, L. (2022b). Assessing the relative merits of news literacy and corrections in responding to misinformation on Twitter. New Media & Society, 24(10), 2354–2371. https://doi.org/10.1177/1461444821998691
  • Walter, N., Brooks, J. J., Saucier, C. J., & Suresh, S. (2021). Evaluating the impact of attempts to correct health misinformation on social media: A meta-analysis. Health Communication, 36(13), 1776–1784. https://doi.org/10.1080/10410236.2020.1794553
  • Walter, N., Cohen, J., Holbert, R. L., & Morag, Y. (2020). Fact-checking: A meta-analysis of what works and for whom. Political Communication, 37(3), 350–375. https://doi.org/10.1080/10584609.2019.1668894
  • Walter, N., & Murphy, S. T. (2018). How to unring the bell: A meta-analytic approach to correction of misinformation. Communication Monographs, 85(3), 423–441. https://doi.org/10.1080/03637751.2018.1467564
  • Walter, N., & Murphy, S. T. (2018). How to unring the bell: A meta-analytic approach to correction of misinformation. Communication Monographs, 85(3), 423–441. http://doi.org/10.1080/03637751.2018.1467564
  • Walter, N., & Tukachinsky, R. (2020). A meta-analytic examination of the continued influence of misinformation in the face of correction: How powerful is it, why does it happen, and how to stop it? Communication Research, 47(2), 155–177. https://doi.org/10.1177/0093650219854600
  • Walter, N., Tukachinsky, R., Pelled, A., & Nabi, R. (2019). Meta-analysis of anger and persuasion: An empirical integration of four models. Journal of Communication, 69(1), 73–93. https://doi.org/10.1093/joc/jqy054
  • Wang, S. W., & Scheinbaum, A. C. (2018). Enhancing brand credibility via celebrity endorsement: Trustworthiness trumps attractiveness and expertise. Journal of Advertising Research, 58(1), 16–32. https://doi.org/10.2501/JAR-2017-042
  • Wang, Y., McKee, M., Torbica, A., & Stuckler, D. (2019). Systematic literature review on the spread of health-related misinformation on social media. Social Science & Medicine, 240, Article 112552. https://doi.org/10.1016/j.socscimed.2019.112552
  • Wang, Y., Thier, K., & Nan, X. (2022a). Defining health misinformation. In A. Keselman, C. A. Smith, & A. Wilson (Eds.), Building health misinformation immunity: A professional’s guide to helping the public (pp. 3–16). Rowman & Littlefield.
  • Wang, Y., Thier, K., & Nan, X. (2022b). Is health misinformation harmful? A systematic review of the psychological and behavioral impact of beliefs in and exposure to health misinformation. PsyArXiv. Retrieved from osf.io/7te56.
  • Weeks, B. E. (2015). Emotions, partisanship, and misperceptions: How anger and anxiety moderate the effect of partisan bias on susceptibility to political misinformation. Journal of Communication, 65(4), 699–719. https://doi.org/10.1111/jcom.12164
  • Winkielman, P., Huber, D. E., Kavanagh, L., & Schwarz, N. (2012). Fluency of consistency: When thoughts fit nicely and flow smoothly. In B. Gawronski, & F. Strack (Eds.), Cognitive consistency: A fundamental principle in social cognition (pp. 89–111). Guilford Press.
  • Wolsko, C., Ariceaga, H., & Seiden, J. (2016). Red, white, and blue enough to be green: Effects of moral framing on climate change attitudes and conservation behaviors. Journal of Experimental Social Psychology, 65, 7–19. https://doi.org/10.1016/j.jesp.2016.02.005
  • Wood, T., & Porter, E. (2019). The elusive backfire effect: Mass attitudes’ steadfast factual adherence. Political Behavior, 41(1), 135–163. https://doi.org/10.1007/s11109-018-9443-y
  • World Health Organization. (2021). COVID-19 Mythbusters – World Health Organization. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public/myth-busters
  • World Health Organization. (2022, January 19). Coronavirus disease (COVID-19) advice for the public: Mythbusters. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public/myth-busters.
  • World Health Organization. (n.d.-a). Constitution of the World Health Organization. https://www.who.int/about/governance/constitution
  • World Health Organization. (n.d.-b). Infodemic. https://www.who.int/health-topics/infodemic#tab = tab_1
  • Wu, L., Morstatter, F., Carley, K. M., & Liu, H. (2019). Misinformation in social media: Definition, manipulation, and detection. ACM SIGKDD Explorations Newsletter, 21(2), 80–90. https://doi.org/10.1145/3373464.3373475
  • Xiao, X., Borah, P., & Su, Y. (2021). The dangers of blind trust: Examining the interplay among social media news use, misinformation identification, and news trust on conspiracy beliefs. Public Understanding of Science, 30(8), 977–992. https://doi.org/10.1177/0963662521998025
  • Xu, Q., Chen, S., & Safarnejad, L. (2021). Effects of information veracity and message frames on information dissemination: A case study of 2016 Zika epidemic discussion on Twitter. Health Communication, 36(12), 1560–1570. https://doi.org/10.1080/10410236.2020.1773705
  • Yang, Q., Sangalang, A., Rooney, M., Maloney, E., Emery, S., & Cappella, J. N. (2018). How is marijuana vaping portrayed on YouTube? Content, features, popularity and retransmission of vaping marijuana YouTube videos. Journal of Health Communication, 23(4), 360–369. https://doi.org/10.1080/10810730.2018.1448488
  • Yeo, S. K., & McKasy, M. (2021). Emotion and humor as misinformation antidotes. Proceedings of the National Academy of Sciences, 118(15), Article e2002484118. https://doi.org/10.1073/pnas.2002484118
  • Zhang, S., Pian, W., Ma, F., Ni, Z., & Liu, Y. (2021). Characterizing the COVID-19 infodemic on Chinese social media: Exploratory study. JMIR Public Health and Surveillance, 7(2), Article e26090. https://doi.org/10.2196/26090

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