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Lesser evil? Public opinion on regulating fake news in Japan, South Korea, and Thailand – A three-country comparison

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  • Cheng, John W.
  • Mitomo, Hitoshi
  • Kamplean, Artima
  • Seo, Youngkyoung

Abstract

This study quantitatively examines and compares public opinion on regulating fake news, and factors affecting the opinion in three Asian countries: Japan, South Korea, and Thailand. Based on the third-person effect, it is hypothesised that the perceived harm of fake news on society increases people's support for fake news regulation. In parallel, according to the lesser evil principle, it is also anticipated that people will be less supportive of regulating fake news if they are aware that there are other non-regulatory counter fake news solutions such as fact-checking. Using original survey data collected from the three countries (n = 5218) and multi-group SEM, it is found that while the first hypothesis holds for all three countries, the second one holds only for Japan and South Korea (the two mature democracies), but not for Thailand (the semi-democratic country). This finding implies that the lesser evil principle also applies in Asian countries, but only in mature democracies where freedom of speech is protected.

Suggested Citation

  • Cheng, John W. & Mitomo, Hitoshi & Kamplean, Artima & Seo, Youngkyoung, 2021. "Lesser evil? Public opinion on regulating fake news in Japan, South Korea, and Thailand – A three-country comparison," Telecommunications Policy, Elsevier, vol. 45(9).
    • Handle: RePEc:eee:telpol:v:45:y:2021:i:9:s0308596121000896
    DOI: 10.1016/j.telpol.2021.102185
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    References listed on IDEAS

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    1. Cheng, John W. & Mitomo, Hitoshi & Seo, Youngkyoung & Kamplean, Artima, 2020. "The lesser evil? Public opinion towards regulating fake news in three Asian countries," ITS Conference, Online Event 2020 224849, International Telecommunications Society (ITS).
    2. Cui, Di & Wu, Fang, 2016. "Moral goodness and social orderliness: An analysis of the official media discourse about Internet governance in China," Telecommunications Policy, Elsevier, vol. 40(2), pages 265-276.
    3. Fons J. R. Van de Vijver & Francesco Avvisati & Eldad Davidov & Michael Eid & Jean-Paul Fox & Noémie Le Donné & Kimberley Lek & Bart Meuleman & Marco Paccagnella & Rens van de Schoot, 2019. "Invariance analyses in large-scale studies," OECD Education Working Papers 201, OECD Publishing.
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    Cited by:

    1. 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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