A quantitative content analysis of topical characteristics of the online COVID-19 infodemic in the United States and Japan

Local contextual factors were found that likely influenced the infodemic in both countries; representations of these factors include societal polarization in the US and the HPV vaccine scare in Japan. It is possible that Japan's relative resistance to misinformation affects the kinds of misinformation consumed, directing attention away from conspiracy theories and towards health-related issues. However, more studies need to be done to verify whether misinformation resistance affects misinformation consumption patterns this way.

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Publication Details

Journal
BMC Public Health
Published
2024-09-09
DOI
https://doi.org/10.1186/s12889-024-19813-y
Citations
2
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
0.77
Controls
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article

A quantitative content analysis of topical characteristics of the online COVID-19 infodemic in the United States and Japan

Matthew Seah, Miho Iwakuma
2 citations
BMC Public Health
Data-Driven Disease Surveillance
0.77
article

A quantitative content analysis of topical characteristics of the online COVID-19 infodemic in the United States and Japan

Matthew Seah, Miho Iwakuma
article en
2 citations

Abstract

Local contextual factors were found that likely influenced the infodemic in both countries; representations of these factors include societal polarization in the US and the HPV vaccine scare in Japan. It is possible that Japan's relative resistance to misinformation affects the kinds of misinformation consumed, directing attention away from conspiracy theories and towards health-related issues. However, more studies need to be done to verify whether misinformation resistance affects misinformation consumption patterns this way.

BMC Public HealthVol. 24(1)
Kyoto University (JP)
Good health and well-being
Openalex Percentile: Top 26%
Data-Driven Disease Surveillance
0.77
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