For su-pervised approaches, major feature sources are the text the user has written and also her profile which may list the name, interests, friends, etc.
we consider the task of user gender prediction on YouTube and contrast two information sources: (1) the comments written by the user and (2) her social neighborhood as defined by the bipartite user-video graph.