ACM Web Science 2013, May 2-4th in Paris

Speaker profile: Aristea M. Zafeiropoulou

April 16, 2013
by Lisa Harris

Unpicking the Privacy Paradox: Can Structuration Theory Help to Explain Location-Based Privacy Decisions?

By Aristea M. Zafeiropoulou, David E. Millard, Craig Webber and Kieron O’Hara

This paper presents a study into privacy and location sharing, using quantitative analysis to show the presence of the privacy paradox, and qualitative analysis in order to reveal the factors that lie behind it. The 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. This work has important consequences both for the understanding of how users arrive at privacy decisions, and also for the potential design of privacy systems.

Aristea became fascinated with Web Science from the first moment, when she attended the 1st Web Science Conference that took place in Athens where she was working as a Software Engineer.

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