Quantified multidimensional public sentiment characteristics on social media for public opinion management: Evidence from the COVID-19 pandemic.

Ma, Ning; Yu, Guang; Jin, Xin; Zhu, Xiaoqian

Ma, Ning; Yu, Guang; Jin, Xin; Zhu, Xiaoqian.

Afiliación

Ma N; School of Management, Harbin Institute of Technology, Harbin, China.
Yu G; School of Management, Harbin Institute of Technology, Harbin, China.
Jin X; School of Humanities, Social Sciences and Law, Harbin Institute of Technology, Harbin, China.
Zhu X; School of Management, Harbin Institute of Technology, Harbin, China.

Front Public Health ; 11: 1097796, 2023.

Article en En | MEDLINE | ID: mdl-37006559

Asunto(s)

COVID-19; Medios de Comunicación Sociales; Humanos; COVID-19/epidemiología; COVID-19/psicología; Opinión Pública; Pandemias; SARS-CoV-2; Actitud

Palabras clave

audience sentiments; pretraining model; public opinion; public sentiments; sentiments characteristics; social media

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Medios de Comunicación Sociales / COVID-19 Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article

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