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

eHealth Literacy / Digital Literacy (528) Breast Cancer (290) Natural Language Processing (917) Infodemiology and Infoveillance (1558) Information Quality in Digital Media (407) Infoveillance and Social Listening (313)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79161, first published .
Analysis of Breast Cancer Information on Facebook Using Neural Network–Based Topic Modeling and Metadata Analysis of English and Spanish Content: Comparative Study

Analysis of Breast Cancer Information on Facebook Using Neural Network–Based Topic Modeling and Metadata Analysis of English and Spanish Content: Comparative Study

Analysis of Breast Cancer Information on Facebook Using Neural Network–Based Topic Modeling and Metadata Analysis of English and Spanish Content: Comparative Study

Authors of this article:

Rasika Muralidharan1 Author Orcid Image ;   Arthur D Soto-Vasquez2 Author Orcid Image ;   María Montenegro3 Author Orcid Image ;   Danny Valdez4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Rasika Muralidharan   1 , MS ;   Arthur D Soto-Vasquez   2 , PhD ;   María Montenegro   3 , PhD ;   Danny Valdez   4 , PhD

1 Luddy School of Informatics, Indiana University, Bloomington, United States

2 Hank Greenspun School of Journalism and Media Studies, University of Nevada, Las Vegas, Las Vegas, United States

3 Department of Spanish and Portuguese, Rutgers University—New Brunswick, New Brunswick, IN, United States

4 School of Public Health, Indiana University Bloomington, Bloomington, United States

Corresponding Author:

  • Danny Valdez, PhD
  • School of Public Health
  • Indiana University Bloomington
  • 1025 E 7th Street
  • Bloomington 47405
  • United States
  • Phone: 1 8128038955
  • Email: danvald@iu.edu