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

Authors

Le Ma, Wuhan UniversityFollow
Jie Fang, University of Nottingham Ningbo ChinaFollow
Mengyao Fu, City University of Hong KongFollow
Zhao Cai, University of Nottingham Ningbo ChinaFollow
Eric Lim, UNSW SydneyFollow
Chee-Wee Tan, Copenhagen Business SchoolFollow

Paper Number

1849

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.

Comments

Paper Number 1849

Recommended Citation

Ma, Le; Fang, Jie; Fu, Mengyao; Cai, Zhao; Lim, Eric; and Tan, Chee-Wee, "Eudemonic Well-Being Topics and Answer Acceptance in Online Depression Q&A Communities: A Configurational Approach" (2022). PACIS 2022 Proceedings. 239.
https://aisel.aisnet.org/pacis2022/239