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5 March 2015

Picking The Right Audience: Adaptive Sharing for Online Social Networks

Location: Meeting Room 10, 2nd Floor, JLB
Time: 12:30pm - 13:45pm

Personal information is increasingly shared via online social networks (OSNs), raising significant privacy management challenges. OSN applications, such as Facebook, allow users to control which friends see shared information, but it can be laborious, tedious and difficult for average users to specify these kinds of privacy policy for each piece of information they share, especially as these policies will change depending on users contexts. In this talk, I will give an overview of our proposed adaptive sharing mechanism that recommends the appropriate audience to users based on the sensitivity of the information being shared, balancing the privacy risk of sharing the information against the social benefit. I will also describe some ongoing work that helps users make privacy-aware sharing decisions. Bio: Mu Yang is a Research Associate at the Open University. She joined the OU in October 2013 and has been working on the Adaptive Security and Adaptive Privacy project. She received a PhD from the University of Southampton. Her research interests include anonymity networks, game theory and adaptive privacy.

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Contact: mailto:paul.piwe@open.ac.uk