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You are not alone: Characterizing users' relationship‐layer identities in online health communities

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  • Kejun Chen
  • Yuehua Zhao
  • Ningyuan Song
  • Yufei Han
  • Jiaer Peng
  • Jiaqing Wang

Abstract

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.

Suggested Citation

  • Kejun Chen & Yuehua Zhao & Ningyuan Song & Yufei Han & Jiaer Peng & Jiaqing Wang, 2024. "You are not alone: Characterizing users' relationship‐layer identities in online health communities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(7), pages 807-828, July.
    • Handle: RePEc:bla:jinfst:v:75:y:2024:i:7:p:807-828
    DOI: 10.1002/asi.24883
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    References listed on IDEAS

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    1. Xiangyu Wang & Andrew High & Xi Wang & Kang Zhao, 2021. "Predicting users' continued engagement in online health communities from the quantity and quality of received support," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(6), pages 710-722, June.
    2. Ellen L. Rubenstein, 2015. "“They are always there for me”: The convergence of social support and information in an online breast cancer community," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1418-1430, July.
    3. Tiffany C. Veinot, 2009. "Interactive acquisition and sharing: Understanding the dynamics of HIV/AIDS information networks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2313-2332, November.
    4. Jenny Preece, 2001. "Sociability and usability in online communities: Determining and measuring success," Behaviour and Information Technology, Taylor & Francis Journals, vol. 20(5), pages 347-356.
    5. Jing Zhao & Kathleen Abrahamson & James G. Anderson & Sejin Ha & Richard Widdows, 2013. "Trust, empathy, social identity, and contribution of knowledge within patient online communities," Behaviour and Information Technology, Taylor & Francis Journals, vol. 32(10), pages 1041-1048, October.
    6. Shimrit Zigron & Jenny Bronstein, 2019. "“Help is where you find it”: The role of weak ties networks as sources of information and support in virtual health communities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(2), pages 130-139, February.
    7. Pietro Panzarasa & Tore Opsahl & Kathleen M. Carley, 2009. "Patterns and dynamics of users' behavior and interaction: Network analysis of an online community," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(5), pages 911-932, May.
    8. Wang, Kai-Yu & Ting, I-Hsien & Wu, Hui-Ju, 2013. "Discovering interest groups for marketing in virtual communities: An integrated approach," Journal of Business Research, Elsevier, vol. 66(9), pages 1360-1366.
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