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

Infoveillance and Social Listening (241) JMIR Theme Issue: COVID-19 Special Issue (2492) Outbreak and Pandemic Preparedness and Management (1779) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1776) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1085) Infodemiology and Infoveillance (1445)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36941, first published .
Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia

Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia

Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia

Authors of this article:

Mengke Hu1 Author Orcid Image ;   Mike Conway1, 2, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Kancharapu R, A Ayyagari S. A comparative study on word embedding techniques for suicide prediction on COVID-19 tweets using deep learning models. International Journal of Information Technology 2023;15(6):3293 View
  2. Dhankar A, Katz A. Tracking pregnant women’s mental health through social media: an analysis of reddit posts. JAMIA Open 2023;6(4) View
  3. Jerfy A, Selden O, Balkrishnan R. The Growing Impact of Natural Language Processing in Healthcare and Public Health. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View

Conference Proceedings

  1. Thakur N, Patel K, Poon A, Cui S, Azizi N, Shah R, Shah R. 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC). Quantifying Public Response to COVID-19 Events: Introducing the Community Sentiment and Engagement Index View