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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Aug 19, 2025
Date Accepted: Jan 20, 2026

The final, peer-reviewed published version of this preprint can be found here:

Transformer-Based Topic Modeling: Characterizing Cannabis Product Adverse Experiences Self-Reported as Requiring Medical Attention on Reddit

Mackey TK, Nali MC, Larsen MZ, Li Z, Taylor CL, Wolpert B, Trice C

Transformer-Based Topic Modeling: Characterizing Cannabis Product Adverse Experiences Self-Reported as Requiring Medical Attention on Reddit

J Med Internet Res 2026;28:e82661

DOI: 10.2196/82661

PMID: 41637739

PMCID: 12917483

Transformer-Based Topic Modeling: Characterizing Cannabis Product Adverse Experiences Self-Reported as Requiring Medical Attention on Reddit

  • Tim Ken Mackey; 
  • Matthew C Nali; 
  • Meng Zhen Larsen; 
  • Zhuoran Li; 
  • Cassandra L Taylor; 
  • Beverly Wolpert; 
  • Catharine Trice

ABSTRACT

This study used a transformer-based algorithm to identify and characterize cannabis adverse experiences as discussed on the social media platform Reddit and found a total of 1,177 adverse experiences requiring medical attention.


 Citation

Please cite as:

Mackey TK, Nali MC, Larsen MZ, Li Z, Taylor CL, Wolpert B, Trice C

Transformer-Based Topic Modeling: Characterizing Cannabis Product Adverse Experiences Self-Reported as Requiring Medical Attention on Reddit

J Med Internet Res 2026;28:e82661

DOI: 10.2196/82661

PMID: 41637739

PMCID: 12917483

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