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Not-so-straightforward links between believing in COVID-19-related conspiracy theories and engaging in disease-preventive behaviours

Author

Listed:
  • Hoi-Wing Chan

    (The Chinese University of Hong Kong)

  • Connie Pui-Yee Chiu

    (The Chinese University of Hong Kong)

  • Shijiang Zuo

    (Beijing Normal University)

  • Xue Wang

    (The Chinese University of Hong Kong)

  • Li Liu

    (Beijing Normal University)

  • Ying-yi Hong

    (The Chinese University of Hong Kong)

Abstract

Since the start of the COVID-19 pandemic, pertinent conspiracy theories have proliferated online, raising the question: How might believing in those conspiracy theories be linked with engagement in disease-preventive behaviours? To answer this, we conducted a repeated cross-sectional survey of around 1500 respondents to examine the link between conspiracy-theory beliefs and disease-preventive behaviours across six time-points in the United States from early February to late March 2020. The findings reveal that believing in risk-acceptance conspiracy theories (RA-CTs; e.g., “COVID-19 is a man-made bioweapon”) was linked to more preventive behaviours. However, believing in risk-rejection conspiracy theories (RR-CTs; e.g., “COVID-19 is like influenza and was purposefully exaggerated”) was associated with fewer preventive behaviours. These differential links were mediated by risk perception and negative emotions and modulated by the stage of the outbreak—RA-CTs predicted higher risk perception in the mild stage, whereas RR-CTs predicted lower risk perception in the severe stage.

Suggested Citation

  • Hoi-Wing Chan & Connie Pui-Yee Chiu & Shijiang Zuo & Xue Wang & Li Liu & Ying-yi Hong, 2021. "Not-so-straightforward links between believing in COVID-19-related conspiracy theories and engaging in disease-preventive behaviours," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-10, December.
    • Handle: RePEc:pal:palcom:v:8:y:2021:i:1:d:10.1057_s41599-021-00781-2
    DOI: 10.1057/s41599-021-00781-2
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    References listed on IDEAS

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    1. Romer, Daniel & Jamieson, Kathleen Hall, 2020. "Conspiracy theories as barriers to controlling the spread of COVID-19 in the U.S," Social Science & Medicine, Elsevier, vol. 263(C).
    2. Branden B. Johnson, 2018. "Residential Location and Psychological Distance in Americans’ Risk Views and Behavioral Intentions Regarding Zika Virus," Risk Analysis, John Wiley & Sons, vol. 38(12), pages 2561-2579, December.
    3. Casey A. Klofstad & Joseph E. Uscinski & Jennifer M. Connolly & Jonathan P. West, 2019. "What drives people to believe in Zika conspiracy theories?," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-8, December.
    4. Shadi Shahsavari & Pavan Holur & Tianyi Wang & Timothy R. Tangherlini & Vwani Roychowdhury, 2020. "Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news," Journal of Computational Social Science, Springer, vol. 3(2), pages 279-317, November.
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    Cited by:

    1. van Mulukom, Valerie & Pummerer, Lotte J. & Alper, Sinan & Bai, Hui & Čavojová, Vladimíra & Farias, Jessica & Kay, Cameron S. & Lazarevic, Ljiljana B. & Lobato, Emilio J.C. & Marinthe, Gaëlle & Pavela, 2022. "Antecedents and consequences of COVID-19 conspiracy beliefs: A systematic review," Social Science & Medicine, Elsevier, vol. 301(C).
    2. Quan-Hoang Vuong & Tam-Tri Le & Viet-Phuong La & Huyen Thanh Thanh Nguyen & Manh-Toan Ho & Quy Khuc & Minh-Hoang Nguyen, 2022. "Covid-19 vaccines production and societal immunization under the serendipity-mindsponge-3D knowledge management theory and conceptual framework," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    3. Haibo Qin & Zhongxuan Xie & Huping Shang & Yong Sun & Xiaohui Yang & Mengming Li, 2024. "The mass public’s science literacy and co-production during the COVID-19 pandemic: empirical evidence from 140 cities in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.

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