Analysis of Breast Cancer Information on Facebook Using Neural Network–Based Topic Modeling and Metadata Analysis of English and Spanish Content: Comparative Study
Facebook breast cancer content is generally consistent across languages. However, differences in engagement behavior suggest that English- and Spanish-speaking populations engage with content differently, highlighting cultural variability that warrants further exploration. Notably, leading cancer authorities may not have a strong presence in Spanish, indicating that the most accurate and up-to-date information may not be reaching a population particularly prone to worse breast cancer prognoses.
Authors
- Danny Valdez (ORCID: https://orcid.org/0000-0002-2355-9881)
- Rasika Muralidharan (ORCID: https://orcid.org/0009-0002-0362-4890)
- Arthur D. Soto-Vásquez (ORCID: https://orcid.org/0000-0001-7240-2242)
- María Montenegro (ORCID: https://orcid.org/0009-0001-5210-2899)
Institutions
- University of New Brunswick (CA)
- University of Nevada, Las Vegas (US)
- Indiana University Bloomington (US)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-08-29
- DOI
- https://doi.org/10.2196/79161
- Primary Topic
- Social Media in Health Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00