Publication | Closed Access
Autonomous and Interdependent
33
Citations
42
References
2016
Year
Unknown Venue
EngineeringSocial InfluenceAutonomous Agent SystemAutonomous SystemsCommunicationAutonomyComputational Social ScienceSocial MediaCollective Privacy GoalsOnline PrivacySocial Network AnalysisPrivacy ManagementSocial NetworksPrivacy By DesignPrivacy IssueData PrivacyPrivacy AnonymityPrivacy ConcernPrivacyData SecuritySocial ComputingAutonomous Intelligent SystemSystem AutonomyArts
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.
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