Quantifying COVID-19 Content in the Online Health Opinion War Using Machine Learning

A huge amount of potentially dangerous COVID-19 misinformation is appearing online. Here we use machine learning to quantify COVID-19 content among online opponents of establishment health guidance, in particular vaccinations (“anti-vax”). We find that the anti-vax community is developing a less foc...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2020
Materias:
Systems, Man, and Cybernetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8043493/
https://www.ncbi.nlm.nih.gov/pubmed/34192099
http://dx.doi.org/10.1109/ACCESS.2020.2993967

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8043493/
https://www.ncbi.nlm.nih.gov/pubmed/34192099
http://dx.doi.org/10.1109/ACCESS.2020.2993967

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