你并不孤单描述在线健康社区中用户的关系层身份

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Kejun Chen, Yuehua Zhao, Ningyuan Song, Yufei Han, Jiaer Peng, Jiaqing Wang
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引用次数: 0

摘要

在线健康社区(OHC)是人们用来获取信息和情感支持的重要平台。尽管有许多关于用户行为和关系的研究,但很少有人关注用户身份以及不同身份层是如何交织在一起的。为了弥补这一潜在的研究空白,本研究通过阐述身份沟通理论(CTI)和社会支持理论,研究了用户的关系层身份及其演变。此外,基于我们之前对 OHC 中用户个人层身份的研究,我们调查了用户的关系层身份与其个人层身份是如何互动的。本研究使用变压器双向编码器表示法(BERT)将用户的发帖和回帖分为提供信息支持、寻求信息支持、提供情感支持、寻求情感支持和陪伴,F1得分均在0.848以上。具有不同个人层身份的用户呈现出不同的关系层身份。用户的关系更多地由信息交流发起,互动较多的用户有更多的陪伴活动。单向HC为人们交流社会支持提供了有效的沟通渠道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
You are not alone: Characterizing users' relationship-layer identities in online health communities

Online health communities (OHCs) function as significant platforms that people use to obtain information and emotional support. Despite many studies on user behavior and relationships, little attention has been paid to user identities and how different layers of identities are interwoven. To address this potential research gap, this study examined users' relationship-layer identities and their evolution by elaborating on the communication theory of identity (CTI) and social support theory. Additionally, based on our previous study on users' personal-layer identities in OHCs, we investigated how users' relationship-layer identities interacted with their personal-layer identities. This study classified users' posts and replies into providing informational support, seeking informational support, providing emotional support, seeking emotional support, and companionship using the bidirectional encoder representation from transformers (BERT), with F1-scores above 0.848. Through social network analysis, this study found that users of OHCs constructed their relationship-layer identities more through informational interactions than through emotional interactions. Users with various personal-layer identities presented different relationship-layer identities. Users' relationships were more initiated by information exchange, and users with more interactions had more companionship activities. OHCs provided efficient communication channels for people to exchange social support.

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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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