Autonomous and Interdependent: Collaborative Privacy Management on Social Network Sites

被引:19
作者
Jia, Haiyan [1 ]
Xu, Heng [1 ]
机构
[1] Penn State Univ, University Pk, PA 16802 USA
来源
34TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2016 | 2016年
关键词
Privacy; collaboration; collaborative privacy management; social networking sites (SNSs);
D O I
10.1145/2858036.2858415
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Although information sharing on social networking sites (SNSs) usually involves multiple stakeholders, limited attention has been paid so far to conceptualizing users' information practices as a collaborative process. To fill this gap in the literature, we develop a survey study to examine collaborative privacy management strategies involving co-owners of shared content. By conducting two online surveys (N = 304, 427) with different samples, our findings show how individuals protect online privacy collaboratively and how their autonomous decision making regarding privacy management is shaped by the interdependent use of SNSs with their social connections. We discuss theoretical implications to privacy research and suggest design guidelines for better supporting users' needs for collaborating with their social ties to achieve collective privacy goals.
引用
收藏
页码:4286 / 4297
页数:12
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