Autonomous and interdependent: Collaborative privacy management on social network sites

Haiyan Jia, Heng Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

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 coowners 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.

Original languageEnglish (US)
Title of host publicationCHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages4286-4297
Number of pages12
ISBN (Electronic)9781450333627
DOIs
StatePublished - May 7 2016
Event34th Annual Conference on Human Factors in Computing Systems, CHI 2016 - San Jose, United States
Duration: May 7 2016May 12 2016

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other34th Annual Conference on Human Factors in Computing Systems, CHI 2016
CountryUnited States
CitySan Jose
Period5/7/165/12/16

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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