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

Cardiac Disease Management (94) JMIR Theme Issue: COVID-19 Special Issue (2452) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 6, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40764, first published .
Analyzing Public Conversations About Heart Disease and Heart Health on Facebook From 2016 to 2021: Retrospective Observational Study Applying Latent Dirichlet Allocation Topic Modeling

Analyzing Public Conversations About Heart Disease and Heart Health on Facebook From 2016 to 2021: Retrospective Observational Study Applying Latent Dirichlet Allocation Topic Modeling

Analyzing Public Conversations About Heart Disease and Heart Health on Facebook From 2016 to 2021: Retrospective Observational Study Applying Latent Dirichlet Allocation Topic Modeling

Authors of this article:

Haoning Xue1 Author Orcid Image ;   Jingwen Zhang1, 2 Author Orcid Image ;   Kenji Sagae3 Author Orcid Image ;   Brian Nishimine1 Author Orcid Image ;   Yoshimi Fukuoka4 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Haoning Xue   1 , MA ;   Jingwen Zhang   1, 2 , PhD ;   Kenji Sagae   3 , PhD ;   Brian Nishimine   1 ;   Yoshimi Fukuoka   4 , PhD

1 Department of Communication, University of California, Davis, CA, United States

2 Department of Public Health Sciences, University of California, Davis, Davis, CA, United States

3 Department of Linguistics, University of California, Davis, CA, United States

4 Department of Physiological Nursing, University of California, San Francisco, CA, United States

Corresponding Author:

  • Haoning Xue, MA
  • Department of Communication
  • University of California
  • One Shields Avenue
  • Davis, CA, 95616
  • United States
  • Phone: 1 5303048532
  • Email: hnxue@ucdavis.edu