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

Health and Risk Communication (57) Infodemiology and Infoveillance (1460) JMIR Theme Issue: COVID-19 Special Issue (2498) Outbreak and Pandemic Preparedness and Management (1782) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1088) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1531) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1793) Discourse (39)

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
Article Authors Cited by (7) Tweetations (4) Metrics

Journals

  1. Shankar K, Chandrasekaran R, Jeripity Venkata P, Miketinas D. Investigating the Role of Nutrition in Enhancing Immunity During the COVID-19 Pandemic: Twitter Text-Mining Analysis. Journal of Medical Internet Research 2023;25:e47328 View
  2. Isip Tan I, Cleofas J, Solano G, Pillejera J, Catapang J. Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study. JMIR Formative Research 2023;7:e41134 View
  3. Rao V, Valdez D, Muralidharan R, Agley J, Eddens K, Dendukuri A, Panth V, Parker M. Digital Epidemiology of Prescription Drug References on X (Formerly Twitter): Neural Network Topic Modeling and Sentiment Analysis. Journal of Medical Internet Research 2024;26:e57885 View
  4. Nakanishi A, Ichikawa M, Sano Y. Public Discourse Toward Older Drivers in Japan: Longitudinal Analysis of Social Media Data from 2010 to 2022 (Preprint). JMIR Infodemiology 2024 View

Books/Policy Documents

  1. Hayat F, Shatnawi S, Haig E. Technology Enhanced Learning for Inclusive and Equitable Quality Education. View

Conference Proceedings

  1. Lei L, Liu G. 2023 10th International Conference on Behavioural and Social Computing (BESC). Public Perception Towards Intelligent Medical Technologies During and Post COVID-19 Pandemic: Exploring Health Communication in Social Media using Neural Topic Models View
  2. Masis T, Duan Z, Xu W, Pyo J, Zuckerman E, O'Connor B. Proceedings of the 17th ACM Web Science Conference 2025. Multilingualism, Transnationality, and K-pop in the Online #StopAsianHate Movement View