Media framing and expression of anti-China sentiment in COVID-19-related news discourse: An analysis using deep learning methods

This study focuses on news content related to China and COVID-19 during the COVID-19 pandemic and investigates how media frame, affected the emergence of anti-China sentiments through a case study of Japanese online news discourse. We collected large-scale digital trace data including online news an...

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Detalles Bibliográficos
Autores principales: Lyu, Zeyu, Takikawa, Hiroki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420056/
https://www.ncbi.nlm.nih.gov/pubmed/36061028
http://dx.doi.org/10.1016/j.heliyon.2022.e10419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420056/
https://www.ncbi.nlm.nih.gov/pubmed/36061028
http://dx.doi.org/10.1016/j.heliyon.2022.e10419

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