Privacy Leakage through Innocent Content Sharing in Online Social Networks

Understand

The increased popularity and ubiquitous availability of online social networks and globalised Internet access have affected the way in which people share content.

• The information that users willingly disclose on these platforms can be used for various purposes, from building consumer models for advertising, to inferring personal, potentially invasive, information.
• In this work, we use Twitter, Instagram and Foursquare data to convey the idea that the content shared by users, especially when aggregated across platforms, can potentially disclose more information than was originally intended.
• We perform two case studies: First, we perform user de-anonymization by mimicking the scenario of finding the identity of a user making anonymous posts within a group of users.