Building an analytical framework for tobacco-related information on social media: an exploratory analysis with generative AI assistance
This study offers a comprehensive framework for analyzing tobacco-related information on social media, emphasizing key issues in policy debates and the presence of conspiracy narratives. This framework can inform the design of interventions for less informed populations and enhance data annotation for machine learning tasks.
Authors
- Pamela May Ling (ORCID: https://orcid.org/0000-0001-6166-9347)
- Eileen Le Han (ORCID: https://orcid.org/0000-0002-3443-4240)
- Miao Feng (ORCID: https://orcid.org/0000-0001-7206-8440)
Institutions
- San Francisco General Hospital (US)
- University of California, San Francisco (US)
- University of Chicago (US)
- Rice University (US)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-10-28
- DOI
- https://doi.org/10.1186/s12889-025-24767-w
- Primary Topic
- Smoking Behavior and Cessation
- Type
- article
- Field-Weighted Citation Impact
- 0.00