Seven privacy worries in ubiquitous social computing

  • Authors:
  • Sara Motahari;Constantine Manikopoulos;Roxanne Hiltz;Quentin Jones

  • Affiliations:
  • New Jersey Institute of Technology, University Heights, Newark, NJ;New Jersey Institute of Technology, University Heights, Newark, NJ;New Jersey Institute of Technology, University Heights, Newark, NJ;New Jersey Institute of Technology, University Heights, Newark, NJ

  • Venue:
  • Proceedings of the 3rd symposium on Usable privacy and security
  • Year:
  • 2007

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Abstract

Review of the literature suggests seven fundamental privacy challenges in the domain of ubiquitous social computing. To date, most research in this area has focused on the features associated with the revelation of personal location data. However, a more holistic view of privacy concerns that acknowledges these seven risks is required if we are to deploy privacy respecting next generation social computing applications. We highlight the threat associated with user inferences made possible by knowledge of the context and use of social ties. We also describe work in progress to both understand user perceptions and build a privacy sensitive urban enclave social computing system.