@inproceedings{0ac6cec551024c0e9807fcb5c9849469,
title = "Eudemonic Well-Being Topics and Answer Acceptance in Online Depression Q\&A Communities: A Configurational Approach",
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.",
keywords = "eudemonic well-being, fuzzy-set Qualitative Comparative Analysis, Latent Dirichlet Allocation, Online Q\&A communities",
author = "Le Ma and Mengyao Fu and Jie Fang and Zhao Cai and Lim, \{Eric T.K.\} and Tan, \{Chee Wee\}",
note = "Publisher Copyright: {\textcopyright} 2022, Association for Information Systems. All rights reserved.; 26th Pacific Asia Conference on Information Systems, PACIS 2022 ; Conference date: 05-07-2022 Through 09-07-2022",
year = "2022",
language = "English",
isbn = "9781958200018",
series = "Pacific Asia Conference on Information Systems",
publisher = "Association for Information Systems",
booktitle = "Pacific Asia Conference on Information Systems, PACIS 2022",
address = "United States",
}