Transformer-Based Topic Modeling: Characterizing Cannabis Product Adverse Experiences Self-Reported as Requiring Medical Attention on Reddit
This study uses keyword filtering, a transformer-based algorithm, and inductive content coding to identify and characterize cannabis adverse experiences as discussed on the social media platform Reddit and reports a total of 1177 self-reported adverse experiences requiring medical attention.
Authors
- Cassandra Taylor (ORCID: https://orcid.org/0000-0001-7476-2049)
- Matthew Nali (ORCID: https://orcid.org/0000-0002-0565-8202)
- Meng Zhen Larsen
- Catharine Trice
- Beverly Wolpert
- Zhuoran Li
- Tim Ken Mackey
Institutions
- Center for Food Safety and Applied Nutrition (US)
- United States Food and Drug Administration (US)
- Center for Drug Evaluation and Research (US)
- San Diego Supercomputer Center (US)
- University of California San Diego (US)
- Global Policy Institute (US)
- Food and Drug Administration (TH)
- Q.D. Research (US)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2026-02-04
- DOI
- https://doi.org/10.2196/82661
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 0.00