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- W4324332242 abstract "Social media discourse has become a key data source for understanding the public's perception of, and sentiments during a public health crisis. However, given the different niches which platforms occupy in terms of information exchange, reliance on a single platform would provide an incomplete picture of public opinions. Based on the schema theory, this study suggests a 'social media platform schema' to indicate users' different expectations based on previous usages of platform and argues that a platform's distinct characteristics foster distinct platform schema and, in turn, distinct nature of information. We analyzed COVID-19 vaccine side effect-related discussions from Twitter, Reddit, and YouTube, each of which represents a different type of the platform, and found thematic and emotional differences across platforms. Thematic analysis using k-means clustering algorithm identified seven clusters in each platform. To computationally group and contrast thematic clusters across platforms, we employed modularity analysis using the Louvain algorithm to determine a semantic network structure based on themes. We also observed differences in emotional contexts across platforms. Theoretical and public health implications are then discussed." @default.
- W4324332242 created "2023-03-16" @default.
- W4324332242 creator A5033541541 @default.
- W4324332242 creator A5077869464 @default.
- W4324332242 date "2023-07-01" @default.
- W4324332242 modified "2023-10-01" @default.
- W4324332242 title "Examining thematic and emotional differences across Twitter, Reddit, and YouTube: The case of COVID-19 vaccine side effects" @default.
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- W4324332242 doi "https://doi.org/10.1016/j.chb.2023.107734" @default.
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