Privacy Wedges: Area-Based Audience Selection for Social Network Posts

Frederic Raber; Alexander De Luca; Moritz Graus

In: Twelfth Symposium on Usable Privacy and Security. Symposium on Usable Privacy and Security (SOUPS-2016), Denver, CO, USENIX Association, 2016.


We present Privacy Wedges, a user interface designed to allow users of online social networks to make meaningful decisions on who to share their posts with. By displaying the privacy settings for historical posts, it is possible to visualize them in a meaningful and comprehensive way. We conducted a user study with 26 participants that showed that unwanted disclosure could be significantly reduced compared to the current implementation of Facebook. That is, there were significantly fewer posts shown to friends they were not appropriate for or intended for.

Weitere Links

wpi16_paper-raber.pdf (pdf, 899 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence