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Digital media and misinformation: An outlook on multidisciplinary strategies against manipulation

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  • Danielle Caled

    (Universidade de Lisboa)

  • Mário J. Silva

    (Universidade de Lisboa)

Abstract

This review discusses the dynamic mechanisms of misinformation creation and spreading used in social networks. It includes: (1) a conceptualization of misinformation and related terms, such as rumors and disinformation; (2) an analysis of the cognitive vulnerabilities that hinder the correction of the effects of an inaccurate narrative already assimilated; and (3) an interdisciplinary discussion on different strategies for coping with misinformation. The discussion encompasses journalistic, educational, governmental and computational viewpoints on the topic. The review also surveys how digital platforms handle misinformation and gives an outlook on opportunities to address it in light of the presented viewpoints.

Suggested Citation

  • Danielle Caled & Mário J. Silva, 2022. "Digital media and misinformation: An outlook on multidisciplinary strategies against manipulation," Journal of Computational Social Science, Springer, vol. 5(1), pages 123-159, May.
    • Handle: RePEc:spr:jcsosc:v:5:y:2022:i:1:d:10.1007_s42001-021-00118-8
    DOI: 10.1007/s42001-021-00118-8
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    References listed on IDEAS

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    1. Jon Roozenbeek & Sander van der Linden, 2019. "The fake news game: actively inoculating against the risk of misinformation," Journal of Risk Research, Taylor & Francis Journals, vol. 22(5), pages 570-580, May.
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    3. Michail Tsikerdekis, 2013. "The effects of perceived anonymity and anonymity states on conformity and groupthink in online communities: A Wikipedia study," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(5), pages 1001-1015, May.
    4. Bei Qin & David Strömberg & Yanhui Wu, 2017. "Why Does China Allow Freer Social Media? Protests versus Surveillance and Propaganda," Journal of Economic Perspectives, American Economic Association, vol. 31(1), pages 117-140, Winter.
    5. Dietram A. Scheufele & Nicole M. Krause, 2019. "Science audiences, misinformation, and fake news," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(16), pages 7662-7669, April.
    6. Jon Roozenbeek & Sander Linden, 2019. "Fake news game confers psychological resistance against online misinformation," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-10, December.
    7. Berinsky, Adam J., 2017. "Rumors and Health Care Reform: Experiments in Political Misinformation," British Journal of Political Science, Cambridge University Press, vol. 47(2), pages 241-262, April.
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    Cited by:

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    2. Dong, Qingxing & Xiong, Siyue & Zhang, Mengyi, 2024. "Remedial behavior for misinformation: A moderated mediation model of remedial attitude and perceived consequence severity," Technology in Society, Elsevier, vol. 77(C).

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