Using Large Language Models to Support Content Analysis: A Case Study of ChatGPT for Adverse Event Detection

• Main Authors: Eric C Leas (Author), John W Ayers (Author), Nimit Desai (Author), Mark Dredze (Author), Michael Hogarth (Author), Davey M Smith (Author)
• Format: Book
• Published: JMIR Publications, 2024-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

This study explores the potential of using large language models to assist content analysis by conducting a case study to identify adverse events (AEs) in social media posts. The case study compares ChatGPT's performance with human annotators' in detecting AEs associated with delta-8-tetra...