Unraveling Online Mental Health Through the Lens of Early Maladaptive Schemas: AI-Enabled Content Analysis of Online Mental Health Communities

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Overview

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This study analyzes 29,329 posts from online mental health communities to examine how early maladaptive schemas manifest in relation to various mental health problems. Using AI-enabled content analysis, the authors identify specific schema associations for conditions such as anxiety, depression, PTSD, and substance use disorder. The resource is primarily intended for researchers and clinicians interested in the intersection of schema therapy and digital mental health data.

ID
6fea25c1bf964f1b
Source org
PubMed Central
Author
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Published
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OA status
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DOI
10.2196/59524
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BibTeX

@article{allodium:6fea25c1bf964f1b,
  title = {Unraveling Online Mental Health Through the Lens of Early Maladaptive Schemas: AI-Enabled Content Analysis of Online Mental Health Communities},
  journal = {PubMed Central},
  doi = {10.2196/59524},
  url = {https://doi.org/10.2196/59524}
}

RIS

TY  - JOUR
TI  - Unraveling Online Mental Health Through the Lens of Early Maladaptive Schemas: AI-Enabled Content Analysis of Online Mental Health Communities
PB  - PubMed Central
DO  - 10.2196/59524
UR  - https://doi.org/10.2196/59524
ER  -

APA

Unraveling Online Mental Health Through the Lens of Early Maladaptive Schemas: AI-Enabled Content Analysis of Online Mental Health Communities. (n.d.). PubMed Central. https://doi.org/10.2196/59524

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