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

Cardiac Disease Management (41) JMIR Theme Issue: COVID-19 Special Issue (1997) Public (e)Health (319) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1225) Infodemiology and Infoveillance (967) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (785)

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 Xue 1 Author Orcid Image ;   Jingwen Zhang 1, 2 Author Orcid Image ;   Kenji Sagae 3 Author Orcid Image ;   Brian Nishimine 1 Author Orcid Image ;   Yoshimi Fukuoka 4 Author Orcid Image
Article Authors Cited by 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 , US

2 Department of Public Health Sciences , University of California, Davis , Davis , CA , US

3 Department of Linguistics , University of California , Davis , CA , US

4 Department of Physiological Nursing , University of California , San Francisco , CA , US

Corresponding Author:

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