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

Peer-to-Peer Support and Online Communities (636) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514) Natural Language Processing (692) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Users' and Patients' Needs for Mental Health Services (403) Methods and New Tools in Mental Health Research (454)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49074, first published .
Understanding Mental Health Issues in Different Subdomains of Social Networking Services: Computational Analysis of Text-Based Reddit Posts

Understanding Mental Health Issues in Different Subdomains of Social Networking Services: Computational Analysis of Text-Based Reddit Posts

Understanding Mental Health Issues in Different Subdomains of Social Networking Services: Computational Analysis of Text-Based Reddit Posts

Authors of this article:

Seoyun Kim1 Author Orcid Image ;   Junyeop Cha1 Author Orcid Image ;   Dongjae Kim1 Author Orcid Image ;   Eunil Park1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. ALASALI T, ORTAKCI Y. Clustering Techniques in Data Mining: A Survey of Methods, Challenges, and Applications. Computer Science 2024 View
  2. Zhu J, Jin R, Kenne D, Phan N, Ku W. User Dynamics and Thematic Exploration in r/Depression During the COVID-19 Pandemic: Insights From Overlapping r/SuicideWatch Users. Journal of Medical Internet Research 2024;26:e53968 View