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Increased Online Aggression During COVID-19 Lockdowns: Two-Stage Study of Deep Text Mining and Difference-in-Differences Analysis
BACKGROUND: The COVID-19 pandemic caused a critical public health crisis worldwide, and policymakers are using lockdowns to control the virus. However, there has been a noticeable increase in aggressive social behaviors that threaten social stability. Lockdown measures might negatively affect mental...
Autores principales: | Hsu, Jerome Tze-Hou, Tsai, Richard Tzong-Han |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364970/ https://www.ncbi.nlm.nih.gov/pubmed/35943771 http://dx.doi.org/10.2196/38776 |
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