Understanding the COVID-19 Infodemic: Analyzing User-Generated Online Information During a COVID-19 Outbreak in Vietnam

OBJECTIVES: Online misinformation has reached unprecedented levels during the coronavirus disease 2019 (COVID-19) pandemic. This study analyzed the magnitude and sentiment dynamics of misinformation and unverified information about public health interventions during a COVID-19 outbreak in Da Nang, V...

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Detalles Bibliográficos
Autores principales: Quach, Ha-Linh, Pham, Thai Quang, Hoang, Ngoc-Anh, Phung, Dinh Cong, Nguyen, Viet-Cuong, Le, Son Hong, Le, Thanh Cong, Le, Dang Hai, Dang, Anh Duc, Tran, Duong Nhu, Ngu, Nghia Duy, Vogt, Florian, Nguyen, Cong-Khanh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672499/
https://www.ncbi.nlm.nih.gov/pubmed/36380428
http://dx.doi.org/10.4258/hir.2022.28.4.307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672499/
https://www.ncbi.nlm.nih.gov/pubmed/36380428
http://dx.doi.org/10.4258/hir.2022.28.4.307

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