Unraveling Online Mental Health Through the Lens of Early Maladaptive Schemas: AI-Enabled Content Analysis of Online Mental Health Communities
We uncovered various associations between EMSs and mental health problems among online support seekers, highlighting the prominence of specific EMSs in each problem and the unique complexities of each problem in terms of EMSs. We also identified EMS features as expressed by support seekers in OMHCs, reinforcing the relevance of EMSs in these online support-seeking contexts. These insights are valuable for understanding how EMS are characterized in OMHCs and can inform the development of more effective artificial intelligence-powered tools to enhance support on these platforms.
Authors
- Sujatha Das Gollapalli (ORCID: https://orcid.org/0000-0002-4567-8937)
- See-Kiong Ng (ORCID: https://orcid.org/0000-0001-6565-7511)
- Mingzhe Du (ORCID: https://orcid.org/0000-0001-7832-0459)
- Beng Heng Ang (ORCID: https://orcid.org/0009-0008-3096-195X)
Institutions
- National University of Singapore (SG)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-02-07
- DOI
- https://doi.org/10.2196/59524
- Citations
- 4
- Primary Topic
- Personality Disorders and Psychopathology
- Type
- article
- Field-Weighted Citation Impact
- 9.23