Published January 1, 2014 | Version v1
Journal article Open

Detecting and predicting privacy violations in online social networks

  • 1. Univ London, Dept Comp Sci, Egham TW20 0EX, Surrey, England
  • 2. Bogazici Univ, Dept Comp Engn, TR-34342 Istanbul, Turkey

Description

Online social networks have become an essential part of social and work life. They enable users to share, discuss, and create content together with various others. Obviously, not all content is meant to be seen by all. It is extremely important to ensure that content is only shown to those that are approved by the content's owner so that the owner's privacy is preserved. Generally, online social networks are promising to preserve privacy through privacy agreements, but still everyday new privacy leakages are taking place. Ideally, online social networks should be able to manage and maintain their agreements through well-founded methods. However, the dynamic nature of the online social networks is making it difficult to keep private information contained.

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