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Community Dynamics and Information Sharing in Online Networks: A Mixed-Method Analysis of WeChat Users Based on Cognitive Emotion Theory.

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Title: Community Dynamics and Information Sharing in Online Networks: A Mixed-Method Analysis of WeChat Users Based on Cognitive Emotion Theory.
Authors: Jamil, Khalid (AUTHOR), Wen, Zhang (AUTHOR), Anwar, Aliya (AUTHOR), Mustafa, Sohaib (AUTHOR)
Source: International Journal of Human-Computer Interaction. Apr2026, Vol. 42 Issue 7, p5193-5215. 23p.
Subjects: Information sharing, WeChat (Web resource), Virtual communities, Attitude (Psychology), Homogeneity, Social groups, Emotion recognition, Reciprocity (Psychology)
Abstract: Amid the growing significance of online communities in shaping social interaction and information exchange, this study investigates how community-level dynamics influence information-sharing behavior within WeChat communities, a platform uniquely embedded in Chinese digital culture and daily life. Grounded in cognitive emotion theory, we examine community reciprocity, homogeneity, and perceived community receptivity as antecedents of information-sharing behavior, with community informativeness as a moderating factor. This mixed-method study is quantitative-dominant, supported by exploratory qualitative interviews with 32 active users, which informed the development of a large-scale survey involving 365 respondents. Findings reveal that reciprocity and homogeneity significantly enhance perceptions of receptivity, promoting users' willingness to share information. Perceived community receptivity is a cognitive mechanism that fosters trust and psychological safety, encouraging active participation. Moreover, community informativeness significantly moderates the effect of receptivity on sharing behavior, amplifying user engagement in highly informative environments where shared content is perceived as valuable and relevant. These results offer new insights into the socio-cognitive processes underlying information-sharing in virtual settings and provide practical implications for community managers and platform designers seeking to foster participatory, trust-based digital settings. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Label: Title
  Group: Ti
  Data: Community Dynamics and Information Sharing in Online Networks: A Mixed-Method Analysis of WeChat Users Based on Cognitive Emotion Theory.
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  Data: <searchLink fieldCode="AR" term="%22Jamil%2C+Khalid%22">Jamil, Khalid</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wen%2C+Zhang%22">Wen, Zhang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Anwar%2C+Aliya%22">Anwar, Aliya</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mustafa%2C+Sohaib%22">Mustafa, Sohaib</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Apr2026, Vol. 42 Issue 7, p5193-5215. 23p.
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  Data: <searchLink fieldCode="DE" term="%22Information+sharing%22">Information sharing</searchLink><br /><searchLink fieldCode="DE" term="%22WeChat+%28Web+resource%29%22">WeChat (Web resource)</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+communities%22">Virtual communities</searchLink><br /><searchLink fieldCode="DE" term="%22Attitude+%28Psychology%29%22">Attitude (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Homogeneity%22">Homogeneity</searchLink><br /><searchLink fieldCode="DE" term="%22Social+groups%22">Social groups</searchLink><br /><searchLink fieldCode="DE" term="%22Emotion+recognition%22">Emotion recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Reciprocity+%28Psychology%29%22">Reciprocity (Psychology)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Amid the growing significance of online communities in shaping social interaction and information exchange, this study investigates how community-level dynamics influence information-sharing behavior within WeChat communities, a platform uniquely embedded in Chinese digital culture and daily life. Grounded in cognitive emotion theory, we examine community reciprocity, homogeneity, and perceived community receptivity as antecedents of information-sharing behavior, with community informativeness as a moderating factor. This mixed-method study is quantitative-dominant, supported by exploratory qualitative interviews with 32 active users, which informed the development of a large-scale survey involving 365 respondents. Findings reveal that reciprocity and homogeneity significantly enhance perceptions of receptivity, promoting users' willingness to share information. Perceived community receptivity is a cognitive mechanism that fosters trust and psychological safety, encouraging active participation. Moreover, community informativeness significantly moderates the effect of receptivity on sharing behavior, amplifying user engagement in highly informative environments where shared content is perceived as valuable and relevant. These results offer new insights into the socio-cognitive processes underlying information-sharing in virtual settings and provide practical implications for community managers and platform designers seeking to foster participatory, trust-based digital settings. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=192560280
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        Value: 10.1080/10447318.2025.2544002
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        Text: English
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        Type: general
      – SubjectFull: WeChat (Web resource)
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      – SubjectFull: Virtual communities
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      – SubjectFull: Emotion recognition
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      – TitleFull: Community Dynamics and Information Sharing in Online Networks: A Mixed-Method Analysis of WeChat Users Based on Cognitive Emotion Theory.
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            NameFull: Jamil, Khalid
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            NameFull: Wen, Zhang
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            NameFull: Anwar, Aliya
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              Text: Apr2026
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              Y: 2026
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