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 well- being, 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. © 2022, Association for Information Systems. All rights reserved.
| Original language | English |
|---|---|
| Title of host publication | Pacific Asia Conference on Information Systems, PACIS 2022 |
| Publisher | Association for Information Systems |
| ISBN (Print) | 9781958200018 |
| Publication status | Published - 2022 |
| Event | 2022 Annual Pacific Asia Conference on Information Systems (PACIS 2022): ARTIFICIAL INTELLIGENCE, INFORMATION SYSTEMS, IN PACIFIC ASIA (AI-IS-ASIA) - Virtual Duration: 5 Jul 2022 → 9 Jul 2022 https://pacis2022.aisconferences.org/ |
Publication series
| Name | Pacific Asia Conference on Information Systems |
|---|---|
| ISSN (Electronic) | 2689-6354 |
Conference
| Conference | 2022 Annual Pacific Asia Conference on Information Systems (PACIS 2022) |
|---|---|
| Period | 5/07/22 → 9/07/22 |
| Internet address |
Bibliographical note
Full text of this publication does not contain sufficient affiliation information. The Research Unit(s) information for this record is based on the then academic department affiliation of the author(s).Research Keywords
- eudemonic well-being
- fuzzy-set Qualitative Comparative Analysis
- Latent Dirichlet Allocation
- Online Q&A communities
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