Abstract
Prior research on online Q&A communities has concentrated primarily on how such communities can benefit patients with physical illnesses. Coming from the angle of mental disorders, this study explores how content on online Q&A communities can be structured to benefit individuals with depression. Espousing the theoretical lens of eudemonic wellbeing, we derive a typology of content elements that influence the receptivity of answers posted in online Q&A communities for depression. Data for this study was first collected from Zhihu, an online Q&A community in China before Latent Dirichlet Allocation (LDA) was employed to extract topic content. Fuzzy-set Qualitative Comparative Analysis (fsQCA) was subsequently applied to verify the association of distinct eudemonic topical configurations with answer acceptance.
| Original language | English |
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| Title of host publication | PACIS 2022 Proceedings |
| Number of pages | 9 |
| Place of Publication | Atlanta, GA |
| Publisher | Association for Information Systems. AIS Electronic Library (AISeL) |
| Publication date | 2022 |
| Article number | 239 |
| Publication status | Published - 2022 |
| Event | The 26th Pacific Asia Conference on Information Systems. PACIS 2022 - Virtual, WWW Duration: 5 Jul 2022 → 9 Jul 2022 Conference number: 26 https://pacis2022.aisconferences.org/ |
Conference
| Conference | The 26th Pacific Asia Conference on Information Systems. PACIS 2022 |
|---|---|
| Number | 26 |
| Location | Virtual |
| Country/Territory | WWW |
| Period | 05/07/2022 → 09/07/2022 |
| Internet address |
Keywords
- Online Q&A communitites
- Eudemonic well-being
- Latent dirichlet allocation
- Fuzzy-set qualitative comparative analysis