Diverse needs and cooperative deeds: Comprehending users' identities in online health communities. Issue 5 (September 2022)

• Record Type: Journal Article
• Authors: Zhao, Yuehua; Chen, Kejun; Peng, Jiaer; Wang, Jiaqing; Song, Ningyuan
• Is Part Of: Information processing & management. Volume 59:Issue 5(2022)
• Publication Date: 2022-09
• Subjects: Online health community -- User identity -- Health communication -- Communication theory of identity; Information storage and retrieval systems -- Periodicals; Information science -- Periodicals; Systèmes d'information -- Périodiques; Sciences de l'information -- Périodiques; Information science; Information storage and retrieval systems; Periodicals; 658.4038
• DOI: 10.1016/j.ipm.2022.103060
• Languages: English
• ISSNs: 0306-4573

Abstract

Highlights: Elaborating on the communication theory of identity (CTI), this study proposed a multi-layered framework to analyze different layers of user identity portrayed in online health communities. The personal-layer identities appearing in an online health community comprise patients, partners, offspring, parents, friends and relatives, and others . The proposed detection models with logistic regression method for various personal-layer identities were validated on a real-world dataset and achieved F1-scores above 0.88. The features of enactment-layer identities differed significantly among users with diverse personal-layer identities in terms of both behaviors and communication needs. Abstract: In recent years, the number of online health communities (OHCs) has increased rapidly as more patients seek to access alternate sources of health information and connect with other patients who have similar health concerns. However, insufficient attention has been paid to investigating user identities in OHCs. To address this potential research gap, by elaborating on the communication theory of identity, this study presents a multi-layered framework to analyze the different layers of user identities that are portrayed in OHCs. Through coding analysis, we discovered that the personal-layer identities that appear in OHCs are patients, partners, offspring, parents, friends and relatives, and others . Moreover, a series of detection models for the personal-layer identities of users were developed, which incorporated content features into machine learning approaches, and they achieved F1-scores above 0.88. Furthermore, we analyzed the features of enactment-layer identities presented by users' posting behavior and content and the impact of the personal-layer identities of users on the features of the enactment-layer identities. The findings suggested that the features of the enactment-layer identities differed significantly among users with diverse personal-layer identities in terms of both behaviors and communication needs. Users who were identified as patients served as both information seekers and providers, whereas users with the personal-layer identities of parents tended to engage in the community continuously. Our findings extend the understanding of user identities within the context of OHCs.