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The Privacy Calculus of “Friending” Across Multiple Social Media Platforms

机译:跨多个社交媒体平台“合作”的隐私微积分

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Relationship building through social network sites (SNSs) requires privacy disclosure that involves a calculus of potential benefits against privacy risks. Tie formation (e.g., friending, following, or connecting) on SNSs is one of the most significant forms of privacy disclosure that not only communicate one’s willingness to disclose but can also reveal past activity history and invite future interactions. Based on the communication privacy management theory, the current study examines how users consider the privacy calculus and tie-formation affordances of the SNSs to manage ties across multiple SNSs. Using an online survey of 630 Facebook and/or Instagram users, the study revealed that individuals with higher privacy concerns strategically manage their privacy by connecting with different relationship ties through different SNSs as a way to construct sociotechnical boundaries between networks. The findings have implications for understanding privacy management online and provide a potential explanation for the privacy paradox.
机译:通过社交网站(SNSS)的关系建设需要隐私披露,涉及对隐私风险的潜在利益的微积分。 SNSS上的TIE形成(例如,交友,遵循或连接)是最重要的隐私披露之一,不仅传达一个人的披露意愿,还可以揭示过去的活动历史,并邀请未来的互动。基于沟通隐私管理理论,目前的研究介绍了用户如何考虑SNS的隐私微积分和捆绑形成可供性,以跨多个SNS管理联系。该研究使用630个Facebook和/或Instagram用户的在线调查,揭示了具有更高隐私的个人通过通过不同的SNS与不同的SNSS作为构建网络之间的社会技术边界的方式,战略性地管理其隐私。调查结果对在线了解隐私管理并提供了对隐私悖论的潜在解释。

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