Mining facebook data for predictive personality modeling
Date Issued
2013
Author(s)
Kosinski, Michal
Stillwell, David
Markovikj, Dejan
Abstract
Beyond being facilitators of human interactions, social networks have become an interesting target of research, providing rich information for studying and modeling user’s behavior. Identification of personality-related indicators encrypted in Facebook profiles and activities are of special
concern in our current research efforts. This paper explores
the feasibility of modeling user personality based on a proposed set of features extracted from the Facebook data. The encouraging results of our study, exploring the suitability
and performance of several classification techniques, will
also be presented.
