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Hope over fear: The interplay between threat information and hope appeal corrections in debunking early COVID-19 misinformation

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  • Tao, Ran
  • Li, Jianing
  • Shen, Liwei
  • Yang, Sijia

Abstract

The spreading of COVID-19 misinformation paralleled increasing fear towards the pandemic reported worldwide in its early stages. Yet research on the emotional basis for misinformation susceptibility and how emotional appeals may help reduce COVID-19 related misperceptions remains limited. To address this gap, we conducted a 2 (threat from COVID-19: yes vs. no) × 4 (correction conditions: none vs. factual correction vs. factual correction + words of optimistic outlook & individual efficacy vs. factual correction + words of optimistic outlook & collective efficacy) between-participant factorial experiment among an online sample of Chinese residents (N = 836) in June 2020. Misinformation about COVID-19 treatments and mitigation was presented in all conditions. Across five misinformation topics, threat information induced more misperceptions while all three types of corrections mitigated threat information's deleterious impact and improved belief accuracy. Importantly, corrections incorporating hope appeals showed enhanced effectiveness in improving belief accuracy when threat information was present whereas factual corrections absent hope appeals did not show similar sensitivity towards threat information. For hope appeal corrections, their indirect effects on desirable downstream behavioral intentions through corrected beliefs were stronger with than without preceding threat information. Our study thus demonstrated the potential of deploying hope appeals to fight the COVID-19 infodemic in China and beyond when threat information is prevalent, while highlighting the importance of studying the roles of emotional appeals in health misperception formation and correction.

Suggested Citation

  • Tao, Ran & Li, Jianing & Shen, Liwei & Yang, Sijia, 2023. "Hope over fear: The interplay between threat information and hope appeal corrections in debunking early COVID-19 misinformation," Social Science & Medicine, Elsevier, vol. 333(C).
  • Handle: RePEc:eee:socmed:v:333:y:2023:i:c:s0277953623004896
    DOI: 10.1016/j.socscimed.2023.116132
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    References listed on IDEAS

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    1. Sarah Dryhurst & Claudia R. Schneider & John Kerr & Alexandra L. J. Freeman & Gabriel Recchia & Anne Marthe van der Bles & David Spiegelhalter & Sander van der Linden, 2020. "Risk perceptions of COVID-19 around the world," Journal of Risk Research, Taylor & Francis Journals, vol. 23(7-8), pages 994-1006, August.
    2. Faheem Aslam & Tahir Mumtaz Awan & Jabir Hussain Syed & Aisha Kashif & Mahwish Parveen, 2020. "Sentiments and emotions evoked by news headlines of coronavirus disease (COVID-19) outbreak," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.
    3. Charles S. Taber & Milton Lodge, 2006. "Motivated Skepticism in the Evaluation of Political Beliefs," American Journal of Political Science, John Wiley & Sons, vol. 50(3), pages 755-769, July.
    4. Hadas Marciano & Yohanan Eshel & Shaul Kimhi & Bruria Adini, 2022. "Hope and Fear of Threats as Predictors of Coping with Two Major Adversities, the COVID-19 Pandemic and an Armed Conflict," IJERPH, MDPI, vol. 19(3), pages 1-13, January.
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    1. Xue, Xiang & Ma, Haiyun & Zhao, Yuxiang (Chris) & Zhu, Qinghua & Song, Shijie, 2024. "Mitigating the influence of message features on health misinformation sharing intention in social media: Experimental evidence for accuracy-nudge intervention," Social Science & Medicine, Elsevier, vol. 356(C).

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