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Systematic Literature Review on the Spread of Health-related Misinformation on Social Media

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  • Wang, Yuxi
  • McKee, Martin
  • Torbica, Aleksandra
  • Stuckler, David

Abstract

Contemporary commentators describe the current period as “an era of fake news” in which misinformation, generated intentionally or unintentionally, spreads rapidly. Although affecting all areas of life, it poses particular problems in the health arena, where it can delay or prevent effective care, in some cases threatening the lives of individuals. While examples of the rapid spread of misinformation date back to the earliest days of scientific medicine, the internet, by allowing instantaneous communication and powerful amplification has brought about a quantum change. In democracies where ideas compete in the marketplace for attention, accurate scientific information, which may be difficult to comprehend and even dull, is easily crowded out by sensationalized news. In order to uncover the current evidence and better understand the mechanism of misinformation spread, we report a systematic review of the nature and potential drivers of health-related misinformation. We searched PubMed, Cochrane, Web of Science, Scopus and Google databases to identify relevant methodological and empirical articles published between 2012 and 2018. A total of 57 articles were included for full-text analysis. Overall, we observe an increasing trend in published articles on health-related misinformation and the role of social media in its propagation. The most extensively studied topics involving misinformation relate to vaccination, Ebola and Zika Virus, although others, such as nutrition, cancer, fluoridation of water and smoking also featured. Studies adopted theoretical frameworks from psychology and network science, while co-citation analysis revealed potential for greater collaboration across fields. Most studies employed content analysis, social network analysis or experiments, drawing on disparate disciplinary paradigms. Future research should examine susceptibility of different sociodemographic groups to misinformation and understand the role of belief systems on the intention to spread misinformation. Further interdisciplinary research is also warranted to identify effective and tailored interventions to counter the spread of health-related misinformation online.

Suggested Citation

  • Wang, Yuxi & McKee, Martin & Torbica, Aleksandra & Stuckler, David, 2019. "Systematic Literature Review on the Spread of Health-related Misinformation on Social Media," Social Science & Medicine, Elsevier, vol. 240(C).
    • Handle: RePEc:eee:socmed:v:240:y:2019:i:c:s0277953619305465
    DOI: 10.1016/j.socscimed.2019.112552
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    References listed on IDEAS

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    1. Seymour, B. & Getman, R. & Saraf, A. & Zhang, L.H. & Kalenderian, E., 2015. "When advocacy obscures accuracy online: Digital pandemics of public health misinformation through an antifluoride case study," American Journal of Public Health, American Public Health Association, vol. 105(3), pages 517-523.
    2. Miriam J. Metzger, 2007. "Making sense of credibility on the Web: Models for evaluating online information and recommendations for future research," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(13), pages 2078-2091, November.
    3. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    4. 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.
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