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題名 Pieces of me: Theorizing affordance-based social media usage styles and their impact on social capital and well-Being
作者 林日璇
Lin, Jih-Hsuan (Tammy)
貢獻者 傳播學院
關鍵詞 Affordances; Social network sites; Cross-platform social media usage style; Social capital; Well-being; Content valence; Anonymity; Network structure; Visual presentation
日期 2027-01
上傳時間 13-Aug-2026 14:04:00 (UTC+8)
摘要 People use multiple social network sites (SNSs) to interact and present different facets of themselves. However, existing studies often focus on a single platform, lacking a holistic view of users' behavior across multiple SNSs. Drawing on signaling theory, an affordance-based social media usage framework is proposed, incorporating three affordances: network structure, anonymity, and visual presentation. The framework contrasts honest signals with conventional signals, theorized as ego-centric versus interest-based networks, low versus high anonymity, and self-included versus non-self-included visual presentations. These six affordances-based behaviors were operationalized using a national representative sample of 1549 participants from the Taiwan Communication Survey. The latent class analysis (LCA) identified six latent user styles: ego-centric networkers, anonymous hobbyists, public social butterflies, cross-platform masqueraders, relationship maintainers, and lurkers. The strategic use of both honest and conventional signals across platforms leads to the greatest social benefits, such as close-tie networks, social capital, and well-being, particularly among cross-platform masqueraders.
關聯 Computers in Human Behavior, Vol.186, Article:109114
資料類型 article
DOI https://doi.org/10.1016/j.chb.2026.109114
dc.contributor 傳播學院
dc.creator (作者) 林日璇
dc.creator (作者) Lin, Jih-Hsuan (Tammy)
dc.date (日期) 2027-01
dc.date.accessioned 13-Aug-2026 14:04:00 (UTC+8)-
dc.date.available 13-Aug-2026 14:04:00 (UTC+8)-
dc.date.issued (上傳時間) 13-Aug-2026 14:04:00 (UTC+8)-
dc.identifier.uri (URI) https://ah.lib.nccu.edu.tw/item?item_id=184478-
dc.description.abstract (摘要) People use multiple social network sites (SNSs) to interact and present different facets of themselves. However, existing studies often focus on a single platform, lacking a holistic view of users' behavior across multiple SNSs. Drawing on signaling theory, an affordance-based social media usage framework is proposed, incorporating three affordances: network structure, anonymity, and visual presentation. The framework contrasts honest signals with conventional signals, theorized as ego-centric versus interest-based networks, low versus high anonymity, and self-included versus non-self-included visual presentations. These six affordances-based behaviors were operationalized using a national representative sample of 1549 participants from the Taiwan Communication Survey. The latent class analysis (LCA) identified six latent user styles: ego-centric networkers, anonymous hobbyists, public social butterflies, cross-platform masqueraders, relationship maintainers, and lurkers. The strategic use of both honest and conventional signals across platforms leads to the greatest social benefits, such as close-tie networks, social capital, and well-being, particularly among cross-platform masqueraders.
dc.format.extent 105 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Computers in Human Behavior, Vol.186, Article:109114
dc.subject (關鍵詞) Affordances; Social network sites; Cross-platform social media usage style; Social capital; Well-being; Content valence; Anonymity; Network structure; Visual presentation
dc.title (題名) Pieces of me: Theorizing affordance-based social media usage styles and their impact on social capital and well-Being
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1016/j.chb.2026.109114
dc.doi.uri (DOI) https://doi.org/10.1016/j.chb.2026.109114