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PreprintCC BY 4.0PsyArXiv

Self-Reported Precipitants of Psychosis, Mania, and Depression: An AI-Assisted Analysis of Reddit

  • Ari Brouwer
  • Charles L Raison
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Abstract

We examined self-reported precipitants of mania, psychosis, and depression on Reddit using AI-assisted code development and automated coding, with blinded human validation. Analyses compared precipitants of mania (n = 337), psychosis (n = 339), and depression (n = 252). Generic stress and sleep disruption were common to mania and psychosis but rare in depression. Cannabis and trauma/abuse/assault were more frequently reported for psychosis, while antidepressants and positive activation/reward were more frequently reported for mania, and self-evaluative thought patterns and social isolation/rejection for depression. Automated and human coding showed strong agreement (κ = 0.82), supporting the feasibility of AI-assisted analysis of perceived psychiatric precipitants.

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Cite

BibTeXRIS
BibTeX
@misc{brouwer2026selfreported,
  title = {{Self-Reported Precipitants of Psychosis, Mania, and Depression: An AI-Assisted Analysis of Reddit}},
  author = {Ari Brouwer and Charles L Raison},
  howpublished = {PsyArXiv},
  year = {2026},
  month = oct,
  doi = {10.31234/osf.io/qr2hk_v1},
  url = {https://osf.io/preprints/psyarxiv/qr2hk_v1/},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Self-Reported Precipitants of Psychosis, Mania, and Depression: An AI-Assisted Analysis of Reddit
AU  - Ari Brouwer
AU  - Charles L Raison
PY  - 2026
DA  - 2026/10/30
PB  - PsyArXiv
DO  - 10.31234/osf.io/qr2hk_v1
UR  - https://osf.io/preprints/psyarxiv/qr2hk_v1/
AB  - We examined self-reported precipitants of mania, psychosis, and depression on Reddit using AI-assisted code development and automated coding, with blinded human validation. Analyses compared precipitants of mania (n = 337), psychosis (n = 339), and depression (n = 252). Generic stress and sleep disruption were common to mania and psychosis but rare in depression. Cannabis and trauma/abuse/assault were more frequently reported for psychosis, while antidepressants and positive activation/reward were more frequently reported for mania, and self-evaluative thought patterns and social isolation/rejection for depression. Automated and human coding showed strong agreement (κ = 0.82), supporting the feasibility of AI-assisted analysis of perceived psychiatric precipitants.
ER  -