Eudemonic Well-Being Topics and Answer Acceptance in Online Depression Q&A Communities: A Configurational Approach

Le Ma, Jie Fang, Mengyao Fu, Zhao Cai, Eric T.K. Lim, Chee-Wee Tan

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


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 languageEnglish
Title of host publicationPACIS 2022 Proceedings
Number of pages9
Place of PublicationAtlanta, GA
PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
Publication date2022
Article number239
Publication statusPublished - 2022
EventThe 26th Pacific Asia Conference on Information Systems. PACIS 2022 - Virtual, WWW
Duration: 5 Jul 20229 Jul 2022
Conference number: 26


ConferenceThe 26th Pacific Asia Conference on Information Systems. PACIS 2022
Internet address


  • Online Q&A communitites
  • Eudemonic well-being
  • Latent dirichlet allocation
  • Fuzzy-set qualitative comparative analysis

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