This paper is in the following e-collection/theme issue:

Theme Issue 2023: Exploring the Intersection Between Health Information, Misinformation, and Generative AI Technologies (4) Infoveillance and Social Listening (194) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1607) Generative Language Models Including ChatGPT (283)

Published on in Vol 4 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59641, first published .
Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study

Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study

Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study

Authors of this article:

Michael S Deiner1 Author Orcid Image ;   Vlad Honcharov2, 3 Author Orcid Image ;   Jiawei Li4 Author Orcid Image ;   Tim K Mackey4, 5 Author Orcid Image ;   Travis C Porco6 Author Orcid Image ;   Urmimala Sarkar2, 3 Author Orcid Image
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