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

Depression and Mood Disorders; Suicide Prevention (1691) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Infodemiology and Infoveillance (1558) Peer-to-Peer Support and Online Communities (797) Infodemiology in Public Health Informatics (26)

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 (15) Tweetations (4) Metrics

Journals

  1. Baydili İ, Tasci B, Tasci G. Deep Learning-Based Detection of Depression and Suicidal Tendencies in Social Media Data with Feature Selection. Behavioral Sciences 2025;15(3):352 View
  2. Jin Y, Liu J, Li P, Wang B, Yan Y, Zhang H, Ni C, Wang J, Li Y, Bu Y, Wang Y. The Applications of Large Language Models in Mental Health: Scoping Review. Journal of Medical Internet Research 2025;27:e69284 View
  3. Wang X, Zhou Y, Zhou G. The Application and Ethical Implication of Generative AI in Mental Health: Systematic Review. JMIR Mental Health 2025;12:e70610 View
  4. Ntakolia C, Yotsidi V, Rannou I, Gournellis R. Interpretable Machine Learning approach for predicting clinically significant suicide risk: A case study of patients with major depressive disorder in Greece. Psychiatry Research 2025;351:116607 View
  5. Villanueva-Miranda I, Xie Y, Xiao G. Sentiment analysis in public health: a systematic review of the current state, challenges, and future directions. Frontiers in Public Health 2025;13 View
  6. Qi H, Fu G, Li J, Song C, Zhai W, Luo D, Liu S, Yu Y, Yang B, Zhao Q. Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media. Bioengineering 2025;12(8):882 View
  7. Köckritz J, İlgen B, Cohrdes C, Hattab G. Current applications and future directions in natural language processing for news media and mental health. Scientific Reports 2025;15(1) View
  8. Evkoski B, Letina S, Kralj Novak P, Riddell J. Premenstrual dysphoric disorder in online peer support communities: a Reddit case study. Scientific Reports 2025;15(1) View
  9. Wang Y, Li M, Wang S, Fang Y, Sun J, Lu L, Yan W. Large language models in clinical psychiatry: Applications and optimization strategies. World Journal of Psychiatry 2025;15(11) View
  10. Walker A, Leung J, Alagappan A, Rajwal S, Lakamana S, Park T, Le N, Irani A, Sarker A, Falasinnu T, Bozkurt S. Centering Patient Voices in Lupus Pain: A Biopsychosocial Analysis of Reddit Narratives Using Large Language Models. Arthritis Care & Research 2025 View

Books/Policy Documents

  1. ZareiNejad M, Tavana P. Application of Generative AI in Healthcare Systems. View

Conference Proceedings

  1. Wen B, Norel R, Liu J, Stappenbeck T, Zulkernine F, Chen H. 2024 IEEE International Conference on Digital Health (ICDH). Leveraging Large Language Models for Patient Engagement: The Power of Conversational AI in Digital Health View
  2. Azevedo J, de Oliveira A, Silva F, Coutinho L, Teles A. 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS). Harnessing Generative Llms to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts View
  3. Ge Z, Hu N, Li D, Wang Y, Qi S, Xu Y, Shi H, Zhang J. 2025 IEEE 41st International Conference on Data Engineering Workshops (ICDEW). A Survey of Large Language Models in Mental Health Disorder Detection on Social Media View
  4. Immanuel C, Cindyana , Cyrilla V, Meyliana . 2025 International Conference on Information Technology Research and Innovation (ICITRI). The Role of AI in Detecting and Predicting Mental Health Crises in Social Media View