Mining Facebook Data for Predictive Personality Modeling

Authors

  • Dejan Markovikj Saints Cyril and Methodius University in Skopje
  • Sonja Gievska Saints Cyril and Methodius University in Skopje
  • Michal Kosinski University of Cambridge
  • David Stillwell University of Cambridge

DOI:

https://doi.org/10.1609/icwsm.v7i2.14466

Keywords:

Big Five Personality Model, Personality, Social Networks, Machine Learning, Support Vector Machines

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.

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Published

2021-08-03

How to Cite

Markovikj, D., Gievska, S., Kosinski, M., & Stillwell, D. (2021). Mining Facebook Data for Predictive Personality Modeling. Proceedings of the International AAAI Conference on Web and Social Media, 7(2), 23-26. https://doi.org/10.1609/icwsm.v7i2.14466

Issue

Vol. 7 No. 2 (2013): ICWSM Workshop Technical Report WS-13-01 (Computational Personality Recognition — Shared Task)

Section

Computational Personality Recognition