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Measuring privacy risk in online social networks is a challenging task. One of the fundamental difficulties is quantifying the amount of information revealed unintentionally. The authors present PrivAware, a tool to detect and report unintended information loss in online social networks. The goal is to provide a rudimentary framework to identify privacy risk and provide solutions to reduce information loss. The first instance of the software is focused on information loss attributed to social circles. In subsequent releases they intend to incorporate additional capabilities to capture ancillary threat models. From the initial results, the authors quantify the privacy risk attributed to friend relationships in Facebook.
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