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

Depression and Mood Disorders; Suicide Prevention (1392) Machine Learning (55) Natural Language Processing (24) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Artificial Intelligence (96) Infodemiology and Infoveillance (1369) Peer-to-Peer Support and Online Communities (652) Infodemiology in Public Health Informatics (22)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57234, first published .
Using Large Language Models to Understand Suicidality in a Social Media–Based Taxonomy of Mental Health Disorders: Linguistic Analysis of Reddit Posts

Using Large Language Models to Understand Suicidality in a Social Media–Based Taxonomy of Mental Health Disorders: Linguistic Analysis of Reddit Posts

Using Large Language Models to Understand Suicidality in a Social Media–Based Taxonomy of Mental Health Disorders: Linguistic Analysis of Reddit Posts

Authors of this article:

Brian Bauer1 Author Orcid Image ;   Raquel Norel2 Author Orcid Image ;   Alex Leow3, 4 Author Orcid Image ;   Zad Abi Rached5 Author Orcid Image ;   Bo Wen2 Author Orcid Image ;   Guillermo Cecchi2 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Brian Bauer   1 * , PhD ;   Raquel Norel   2 * , PhD ;   Alex Leow   3, 4 , MD, PhD ;   Zad Abi Rached   5 , PhD ;   Bo Wen   2 , PhD ;   Guillermo Cecchi   2 , PhD

1 Department of Psychology, University of Georgia, Athens, GA, United States

2 Digital Health, IBM Research, New York, NY, United States

3 Department of Psychiatry, University of Illinois Chicago, Chicago, IL, United States

4 Department of Biomedical Engineering and Computer Science, University of Illinois Chicago, Chicago, IL, United States

5 College Louise Wegmann, Beirut, Lebanon

*these authors contributed equally

Corresponding Author: