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

Weiai Wayne Xu   1 , PhD ;   Jean Marie Tshimula   2 , PhD ;   Ève Dubé   3, 4 , PhD ;   Janice E Graham   5 , PhD ;   Devon Greyson   6 , PhD ;   Noni E MacDonald   5 , MD ;   Samantha B Meyer   7 , PhD

1 Department of Communication, University of Massachusetts Amherst, Amherst, MA, United States

2 Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada

3 Axe maladies infectieuses et immunitaires, Centre de Recherche du CHU de Québec, Laval University, Quebec City, QC, Canada

4 Direction des risques biologiques et de la santé au travail, Institut National de Santé Publique du Québec, Quebec, QC, Canada

5 Department of Pediatrics, Dalhousie University, Halifax, NS, Canada

6 School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada

7 School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada

Corresponding Author:

  • Weiai Wayne Xu, PhD
  • Department of Communication
  • University of Massachusetts Amherst
  • 650 N Pleasant St
  • Amherst, MA, 01003
  • United States
  • Phone: 1 (413) 545 1311
  • Email: weiaixu@umass.edu