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Irrational Beliefs about COVID-19: A Scoping Review

Author

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  • Federica Maria Magarini

    (Department of Biomedical, Metabolic and Neural Sciences, School of Specialization in Psychiatry, University of Modena and Reggio Emilia, 41124 Modena, Italy)

  • Margherita Pinelli

    (Department of Biomedical, Metabolic and Neural Sciences, School of Specialization in Psychiatry, University of Modena and Reggio Emilia, 41124 Modena, Italy)

  • Arianna Sinisi

    (Department of Biomedical, Metabolic and Neural Sciences, School of Specialization in Psychiatry, University of Modena and Reggio Emilia, 41124 Modena, Italy)

  • Silvia Ferrari

    (Department of Biomedical, Metabolic and Neural Sciences, School of Specialization in Psychiatry, University of Modena and Reggio Emilia, 41124 Modena, Italy
    Section of Clinical Neurosciences, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Largo del Pozzo 7, 41124 Modena, Italy)

  • Giovanna Laura De Fazio

    (Department of Law, University of Modena and Reggio Emilia, 41121 Modena, Italy)

  • Gian Maria Galeazzi

    (Department of Biomedical, Metabolic and Neural Sciences, School of Specialization in Psychiatry, University of Modena and Reggio Emilia, 41124 Modena, Italy
    Section of Clinical Neurosciences, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Largo del Pozzo 7, 41124 Modena, Italy
    Dipartimento di Salute Mentale e Dipendenze Patologiche, USL-IRCCS di Reggio Emilia, 42122 Reggio Emilia, Italy)

Abstract

Since the emergence of the recent Coronavirus Disease of 2019 (COVID-19) and its spread as a pandemic, there has been a parallel spread of false and misleading information, known as an infodemic. The COVID-19 infodemic has induced distrust in scientific communities, governments, institutions and the population, and a confidence crisis that has led to harmful health behaviours, also impacting on mental health. The aim of this study is to provide a scoping review of the scientific literature about COVID-19-related misinformation and conspiracy theories, focusing on the construction of a conceptual framework which is useful for the interpretation of the conspiracy theory phenomenon surrounding COVID-19, and its consequences. Particular socio-environmental conditions (i.e., low educational level, younger age), psychological processes and attitudes (such as low levels of epistemic trust, the avoidance of uncertainty, extraversion, collective narcissism, and a conspiracy-prone mindset), and contextual factors (e.g., high levels of self-perceived risk and anxiety) seem to underpin the adherence to beliefs that are not solely the domain of paranoids and extremists but a widespread phenomenon that has caused important health, social and political consequences.

Suggested Citation

  • Federica Maria Magarini & Margherita Pinelli & Arianna Sinisi & Silvia Ferrari & Giovanna Laura De Fazio & Gian Maria Galeazzi, 2021. "Irrational Beliefs about COVID-19: A Scoping Review," IJERPH, MDPI, vol. 18(19), pages 1-21, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:9839-:d:640212
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    References listed on IDEAS

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    1. An Nguyen & Daniel Catalan-Matamoros, 2020. "Digital Mis/Disinformation and Public Engagement with Health and Science Controversies: Fresh Perspectives from Covid-19," Media and Communication, Cogitatio Press, vol. 8(2), pages 323-328.
    2. Aleksandra Cichocka, 2020. "To counter conspiracy theories, boost well-being," Nature, Nature, vol. 587(7833), pages 177-177, November.
    3. Emilio Ferrara & Stefano Cresci & Luca Luceri, 2020. "Misinformation, manipulation, and abuse on social media in the era of COVID-19," Journal of Computational Social Science, Springer, vol. 3(2), pages 271-277, November.
    4. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    5. Yachao Li & Sylvia Twersky & Kelsey Ignace & Mei Zhao & Radhika Purandare & Breeda Bennett-Jones & Scott R. Weaver, 2020. "Constructing and Communicating COVID-19 Stigma on Twitter: A Content Analysis of Tweets during the Early Stage of the COVID-19 Outbreak," IJERPH, MDPI, vol. 17(18), pages 1-12, September.
    6. 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.
    7. Xiaojun Zhang & Fanfan Wang & Changwen Zhu & Zhiqiang Wang, 2019. "Willingness to Self-Isolate When Facing a Pandemic Risk: Model, Empirical Test, and Policy Recommendations," IJERPH, MDPI, vol. 17(1), pages 1-15, December.
    8. Alexandra Huidu, 2020. "The Social Responsibility of Researchers in Combating Fake News and Conspiracy Theories During a Pandemic," Postmodern Openings, Editura Lumen, Department of Economics, vol. 11(1Sup2), pages 39-48, May.
    9. Philip Ball & Amy Maxmen, 2020. "The epic battle against coronavirus misinformation and conspiracy theories," Nature, Nature, vol. 581(7809), pages 371-374, May.
    10. Carmen Orte & Lidia Sánchez-Prieto & David Caldevilla Domínguez & Almudena Barrientos-Báez, 2020. "Evaluation of Distress and Risk Perception Associated with COVID-19 in Vulnerable Groups," IJERPH, MDPI, vol. 17(24), pages 1-12, December.
    11. Nicholas Francis Havey, 2020. "Partisan public health: how does political ideology influence support for COVID-19 related misinformation?," Journal of Computational Social Science, Springer, vol. 3(2), pages 319-342, November.
    12. Mariusz Duplaga, 2020. "The Determinants of Conspiracy Beliefs Related to the COVID-19 Pandemic in a Nationally Representative Sample of Internet Users," IJERPH, MDPI, vol. 17(21), pages 1-15, October.
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