Online social networks, such as Facebook, Twitter, Yahoo and Google+ are utilized by many people. These networks allow users to publish details about themselves and to connect to their friends. Some of the information revealed inside these networks is meant to be private or public. Yet it is possible to use learning algorithms on released data to predict private or public information and use the classification algorithm on the collected data. In this paper, the authors explore how to get social networking data to predict information.