Predictors of Professional Responses in Nonprofit Mental Health Forums: Interpretable Machine Learning Analysis
This study provides insights into how textual and contextual features of patient posts influence professional responses in nonprofit mental health forums. It enhances understanding of voluntary knowledge contribution behaviors in online mental health communities and offers practical guidance for optimizing platform functional design and user posting strategies. Future researchers are encouraged to address the limitations of this study, which focuses solely on response quantity and length, and to explore details of professional responses, such as by developing a comprehensive measure of response quality.
Authors
- Xusheng Wu
- Peixuan Chen (ORCID: https://orcid.org/0009-0000-6327-869X)
- Zhiqun Zhang (ORCID: https://orcid.org/0000-0002-9068-9715)
- Yanghui Li (ORCID: https://orcid.org/0000-0002-8366-2098)
- Shuang Geng (ORCID: https://orcid.org/0000-0002-7566-6398)
- Jie Wang (ORCID: https://orcid.org/0000-0001-9704-3725)
Institutions
- Central South University (CN)
- Shenzhen University (CN)
- Shenzhen Technology University (CN)
- Shenzhen Pingle Orthopedic Hospital (CN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-11-24
- DOI
- https://doi.org/10.2196/74359
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 0.00