An Exploratory Typology of Tobacco-Related Misleading Content on Social Media: Qualitative Analysis of Instagram and TikTok
This cross-platform typology building supports digital health research by integrating AI and qualitative methods to categorize tobacco-related misinformation. It can inform the development of automated misinformation detection models, enhance real-time infodemiological monitoring, and guide digital public health campaigns to build tailored countermessaging.
Authors
- Pamela May Ling (ORCID: https://orcid.org/0000-0001-6166-9347)
- Eileen Le Han (ORCID: https://orcid.org/0000-0002-3443-4240)
- Joanne Chen Lyu (ORCID: https://orcid.org/0000-0002-4178-6746)
Institutions
- University of California, San Francisco (US)
- University of Oklahoma Health Sciences Center (US)
- Rice University (US)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-10-28
- DOI
- https://doi.org/10.2196/78854
- Primary Topic
- Social Media in Health Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00