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It has been recently shown that the digital footprint of users can be used to automatically infer their demographics. On this page, you can find examples of exisitng work.

User Profiling using User Generated Text

  1. Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach. A. Schwartz, J. Eichstaedt, M. Kern, L. Dziurzynski, S. Ramones, M. Agrawal, A Shah, M. Kosinski, D. Stillwell, M.E.P. Seligman, L.H. Ungar. PLoS ONE, 2013. The 10th most impactful paper of 2013. paper

  2. Computational Personality Recognition in Social Media. G. Farnadi, G. Sitaraman, S. Sushmita, F. Celli, M.Kosinski, D. Stillwell, S. Davalos, M-F. Moens, M. De Cock. User Modeling and User-Adapted Interaction: The Journal of Personalization Research (UMUAI), 2015. paper

User Profiling using visual content

  1. Minimalistic CNN-based ensemble model for gender prediction from face images. Antipov, G., Berrani, S. A., & Dugelay, J. L. Pattern recognition letters, 70, 59-65 (2016). paper

User Profiling using relational data

  1. Computer-based personality judgments are more accurate than those made. humansby W. Youyou, M. Kosinski*, D. Stillwell. Proceedings of the National Academy of Sciences (PNAS), 2015. The 19th most impactful paper of 2015. paper

  2. User profiling through deep multimodal fusion. Farnadi, G., Tang, J., De Cock, M., & Moens, M. F.. In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (pp. 171-179). ACM. 2018. paper