范围(计算机科学)
互联网隐私
感知
个人可识别信息
计算机科学
控制(管理)
社交网络(社会语言学)
战略信息系统
光学(聚焦)
现象
信息隐私
社会化媒体
信息系统
业务
计算机安全
管理信息系统
心理学
万维网
光学
物理
电气工程
工程类
人工智能
量子力学
神经科学
程序设计语言
作者
Hanna Krasnova,Sarah Spiekermann,Ksenia Koroleva,Thomas Hildebrand
摘要
On online social networks such as Facebook, massive self-disclosure by users has attracted the attention of Industry players and policymakers worldwide. Despite the Impressive scope of this phenomenon, very little Is understood about what motivates users to disclose personal Information. Integrating focus group results Into a theoretical privacy calculus framework, we develop and empirically test a Structural Equation Model of self-disclosure with 259 subjects. We find that users are primarily motivated to disclose Information because of the convenience of maintaining and developing relationships and platform enjoyment. Countervailing these benefits, privacy risks represent a critical barrier to information disclosure. However, users’ perception of risk can be mitigated by their trust in the network provider and availability of control options. Based on these findings, we offer recommendations for network providers.
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