This paper is in the following e-collection/theme issue:

Health and Risk Communication (46) Infodemiology and Infoveillance (1369) JMIR Theme Issue: COVID-19 Special Issue (2461) Outbreak and Pandemic Preparedness and Management (1743) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Discourse (38)

Published on in Vol 2, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41198, first published .
Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach

Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach

Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach

Authors of this article:

Weiai Wayne Xu1 Author Orcid Image ;   Jean Marie Tshimula2 Author Orcid Image ;   Ève Dubé3, 4 Author Orcid Image ;   Janice E Graham5 Author Orcid Image ;   Devon Greyson6 Author Orcid Image ;   Noni E MacDonald5 Author Orcid Image ;   Samantha B Meyer7 Author Orcid Image
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