Communicative Blame in Online Communication of the COVID-19 Pandemic: Computational Approach of Stigmatizing Cues and Negative Sentiment Gauged With Automated Analytic Techniques

BACKGROUND: Information about a new coronavirus emerged in 2019 and rapidly spread around the world, gaining significant public attention and attracting negative bias. The use of stigmatizing language for the purpose of blaming sparked a debate. OBJECTIVE: This study aims to identify social stigma a...

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Detalles Bibliográficos
Autores principales: Chang, Angela, Schulz, Peter Johannes, Tu, ShengTsung, Liu, Matthew Tingchi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690967/
https://www.ncbi.nlm.nih.gov/pubmed/33108306
http://dx.doi.org/10.2196/21504

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690967/
https://www.ncbi.nlm.nih.gov/pubmed/33108306
http://dx.doi.org/10.2196/21504

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