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

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

Department of Entrepreneurship, Marketing and Management Systems

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	PACIS 2022 Proceedings
Publisher	Association for Information Systems
ISBN (Electronic)	9781958200018
Publication status	Published - 2022

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Cite this

@inproceedings{9940ff2de8f44d6b937c995c15e3d37a,

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.",

author = "Le Ma and Jie Fang and Mengyao Fu and Zhao Cai and Lim, \{Eric T.K.\} and Tan, \{Chee Wee\}",

year = "2022",

language = "English",

booktitle = "PACIS 2022 Proceedings",

publisher = "Association for Information Systems",

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T1 - Eudemonic Well-Being Topics and Answer Acceptance in Online Depression Q&A Communities: A Configurational Approach

AU - Ma, Le

AU - Fang, Jie

AU - Fu, Mengyao

AU - Cai, Zhao

AU - Lim, Eric T.K.

AU - Tan, Chee Wee

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

M3 - Conference contribution

BT - PACIS 2022 Proceedings

PB - Association for Information Systems

ER -

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

Abstract

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