E-privacy in 2nd generation E-commerce: privacy preferences versus actual behavior
Proceedings of the 3rd ACM conference on Electronic Commerce
Privacy, economics, and price discrimination on the Internet
ICEC '03 Proceedings of the 5th international conference on Electronic commerce
Privacy practices of Internet users: self-reports versus observed behavior
International Journal of Human-Computer Studies - Special isssue: HCI research in privacy and security is critical now
Who's viewed you?: the impact of feedback in a mobile location-sharing application
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
From spaces to places: emerging contexts in mobile privacy
Proceedings of the 11th international conference on Ubiquitous computing
Nudging Privacy: The Behavioral Economics of Personal Information
IEEE Security and Privacy
Privacy in Context: Technology, Policy, and the Integrity of Social Life
Privacy in Context: Technology, Policy, and the Integrity of Social Life
Proceedings of the 13th international conference on Ubiquitous computing
Indirect content privacy surveys: measuring privacy without asking about it
Proceedings of the Seventh Symposium on Usable Privacy and Security
The implications of offering more disclosure choices for social location sharing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Social Media and Web 2.0 tools have dramatically increased the amount of previously private data that users share on the Web; now with the advent of GPS-enabled smartphones users are also actively sharing their location data through a variety of applications and services. Existing research has explored people's privacy attitudes, and shown that the way people trade their personal data for services of value can be inconsistent with their stated privacy preferences (a phenomenon known as the privacy paradox). In this paper we present a study into privacy and location sharing, using quantitative analysis to show the presence of the paradox, and qualitative analysis in order to reveal the factors that lie behind it. Our analysis indicates that privacy decision-making can be seen as a process of structuration, in that people do not make location-sharing decisions as entirely free agents and are instead heavily influenced by contextual factors (external structures) during trade-off decisions. Collectively these decisions may themselves become new structures influencing future decisions. Our work has important consequences both for the understanding of how users arrive at privacy decisions, and also for the potential design of privacy systems.