Characterising social media users by gender and place of residence

Characterising users through demographic attributes is a necessary step before conducting opinion surveys from information published by such users in social media. In this paper, we describe, compare and evaluate different techniques for the identification of the attributes "gender"' and "place of residence" by mining the metadata associated to the users, the content published and shared by themselves, and their friendship networks. The results obtained show that the social network is a valuable source of information for obtaining the sociodemographic attributes of single users.