同伴对隐私的关注如何影响社交网站的主动和被动使用:双重同伴隐私计算模型

Tin Trung Nguyen, Van Thi Thanh Tran, Minh Tu Tran Hoang
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引用次数: 0

摘要

社交网站(SNS)作为平行社会出现,为个人提供了一个与同龄人互动的平台,并构建了他们所期望的自我身份。然而,为了保持正面形象,避免受到社会评判,在表达自我身份时往往需要进行自我审查。本研究借鉴隐私计算理论,探讨 SNS 用户在决定主动还是被动使用 SNS 时,如何在同伴隐私关切和自我展示之间进行理性的成本效益分析。对 394 名 Facebook 用户进行的方差分析--部分最小二乘法结构方程建模(PLS-SEM)--结果表明,主动使用主要受感知收益的驱动,而被动使用则受感知隐私成本的影响。然而,本研究采用基于案例的分析方法--模糊集定性比较分析(fsQCA),发现虽然一些 SNS 用户不符合隐私计算,但许多其他用户却符合,从而证实了所提出的 SNS 使用的双重隐私计算模型。这些研究结果解决了以往关于隐私计算模型的研究结果相互矛盾的问题。本研究通过建立双重同伴隐私计算模型来理解 SNS 用户的被动和主动使用行为,并验证同伴隐私关切对这些行为模式的影响,从而扩展了有关隐私计算理论的文献。本研究强调了影响 SNS 使用模式的关键因素,使平台开发人员有能力为用户提供有效工具,打击同伴侵犯隐私的行为,从而促进用户更积极地参与。
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How Peer Privacy Concerns Affect Active and Passive Uses of Social Networking Sites: A Dual Peer Privacy Calculus Model
Social networking sites (SNSs) have emerged as parallel societies, providing individuals with a platform to interact with peers and construct their desired self-identities. However, maintaining a positive image and safeguarding oneself from social judgment often necessitate self-censorship in self-identity expression. Drawing upon the privacy calculus theory, this study investigates how SNS users engage in a rational cost–benefit analysis between peer privacy concerns and self-presentation when deciding whether to actively or passively use SNSs. Findings from a variance-based analysis—partial least squares structural equation modeling (PLS-SEM)—to a sample of 394 Facebook users revealed that active use was primarily driven by perceived benefits, while passive use was triggered by perceived privacy costs. However, employing a case-based analysis—fuzzy-set qualitative comparative analysis (fsQCA), the present study uncovered that while some SNS users do not conform to the privacy calculus, many others do, thereby confirming the proposed dual privacy calculus model for SNS use. These findings resolve the contradictory findings from previous research on the privacy calculus model. This study extends the literature on the privacy calculus theory by developing a dual peer privacy calculus model to understand SNS users’ passive and active uses and validate the significance of peer privacy concerns on these behavioral patterns. This study underscores critical factors influencing SNS usage patterns, empowering platform developers to provide users with effective tools to combat privacy violations by peers, thereby promoting increased active engagement.
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