Beyond facebook personality prediction: A multidisciplinary approach to predicting social media users' personality

Abstract

We investigate creating a predictive model that increases accuracy in personality prediction of social media and social network site users through a multidisciplinary pilot analysis. We present a novel method for increasing personality prediction accuracy of Facebook users. We discuss an experiment that combines natural language processing and machine learning methods, as well as the Big Five Personality and other cognitive psychology metrics and scales. Our machine learning predictive model showed promising results in personality prediction accuracy of three personality traits. However, the results indicate that more research and further data collection will improve prediction accuracies. © 2014 Springer International Publishing Switzerland.