Increased Online Aggression During COVID-19 Lockdowns: Two-Stage Study of Deep Text Mining and Difference-in-Differences Analysis.

Hsu, Jerome Tze-Hou; Tsai, Richard Tzong-Han

Hsu, Jerome Tze-Hou; Tsai, Richard Tzong-Han.

Hsu JT; Center for Geographic Information Science, Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan.
Tsai RT; Taipei Municipal Jianguo High School, Taipei, Taiwan.

J Med Internet Res ; 24(8): e38776, 2022 08 09.

Article en En | MEDLINE | ID: mdl-35943771

Asunto(s)

COVID-19; Medios de Comunicación Sociales; Agresión; COVID-19/prevención & control; Control de Enfermedades Transmisibles; Minería de Datos/métodos; Humanos; Pandemias; Estados Unidos/epidemiología

Palabras clave

COVID-19; Twitter; causal relationship; computer; content analysis; emotions; infodemiology; infoveillance; internet; lockdown; natural language processing; neural networks; online aggression; pandemic; sentiment analysis; social media

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Medios de Comunicación Sociales / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans País como asunto: America do norte Idioma: En Año: 2022 Tipo del documento: Article

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