TY - JOUR
T1 - Examining Different Viewer Engagement Patterns for Social Capital on Streaming Communities
AU - Yuan, Chien Wen
AU - Lee, Yu Hao
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Ministry of Science and Technology, Taiwan, 109-2221-E-003 -010 -MY3
Publisher Copyright:
© The Author(s) 2022.
PY - 2022
Y1 - 2022
N2 - Live streaming is not only a popular form of entertainment but also a channel through which streamers and users can engage in social interactions and develop social capital. The current study surveyed 522 users of live streaming videos to examine how different engagement patterns (e.g., cognitive, affective, and behavioral) are associated with factors that contribute to social capital, including trust, identification, norms, volunteerism, and collective efficacy. Our findings indicate that affective and behavioral engagement were associated with increased social capital through different paths. However, cognitive engagement was not associated with any of the factors that predict social capital. The study argues that live streaming platforms, like other social networking platforms, can build social capital that can be mobilized for potential collective action. More importantly, the study expands our theoretical understanding of how different live streaming engagement patterns affect social capital through distinct factors.
AB - Live streaming is not only a popular form of entertainment but also a channel through which streamers and users can engage in social interactions and develop social capital. The current study surveyed 522 users of live streaming videos to examine how different engagement patterns (e.g., cognitive, affective, and behavioral) are associated with factors that contribute to social capital, including trust, identification, norms, volunteerism, and collective efficacy. Our findings indicate that affective and behavioral engagement were associated with increased social capital through different paths. However, cognitive engagement was not associated with any of the factors that predict social capital. The study argues that live streaming platforms, like other social networking platforms, can build social capital that can be mobilized for potential collective action. More importantly, the study expands our theoretical understanding of how different live streaming engagement patterns affect social capital through distinct factors.
KW - Live streaming
KW - community
KW - engagement patterns
KW - social capital
KW - social networking sites
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U2 - 10.1177/08944393221131930
DO - 10.1177/08944393221131930
M3 - Article
AN - SCOPUS:85139433644
SN - 0894-4393
JO - Social Science Computer Review
JF - Social Science Computer Review
ER -