My Research

I employ big data and computational models to address pressing issues, including privacy risks, psychometrics, online mass persuasion, and psychological profiling. In pursuing my research, I have published over 70 papers, which have been cited over 5,500 times. The following subsections summarize my work and its implications.

A list of all of my papers can be found in my CV.

Links Between Facial Features and Psychological Traits

The theoretical foundations of these links are well established. Faces shape others’ perceptions and expectations that, in turn, shape our behavior and psychological traits. Psychological traits and facial features are both influenced by many common factors, such as hormones and genes. Finally, psychological traits influence facial appearance; for example, attitudes affect group memberships that, in turn, influence facial grooming style.

Deep neural networks are more accurate than humans at detecting sexual orientation from facial images (2018)

Wang & Kosinski; Journal of Personality and Social Psychology (JPSP)

After discovering that governments and corporations had been using facial analysis algorithms to detect intimate traits, we decided to examine the privacy threats posed by such algorithms in the context of one of the most sensitive personal characteristics: sexual orientation.

We showed that an algorithm can detect sexual orientation from people’s faces with an accuracy comparable with that of mammograms or modern diagnostic tools for Parkinson's disease. The differences between the faces of gay and straight people were consistent with widely accepted theories explaining the origins of sexual orientation.

  • A replication of this study confirmed that sexual orientation can be predicted from facial images. Models were invariant to makeup, eyewear, facial hair, and head pose.

Impact:

Facial Width-to-Height Ratio Does Not Predict Self-Reported Behavioral Tendencies (2017)

Kosinski; Psychological Science

Many studies have linked facial width-to-height ratio (fWHR) with various antisocial and violent behavioral tendencies. However, those studies have predominantly been laboratory-based and low-powered. This paper showed that the links between fWHR and psychological traits were weak, and that their patterns were inconsistent with the previous findings and theoretical assumptions advanced in the fWHR literature.

And also …

Privacy

Private traits and attributes are predictable from digital records of human behavior (2013)

Kosinski, Stillwell, & Graepel; Proceedings of the National Academy of Sciences (PNAS)

We showed that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of sensitive traits, including sexual orientation, ethnicity, political views, personality, intelligence, use of addictive substances, parental separation, etc.

This paper called for, and triggered, an immediate tightening of Facebook’s privacy policies: Two weeks after its publication, Facebook switched off public access to its users’ Likes (until then, they were by default visible to anyone on the internet). This greatly limited exposure to privacy threats for millions of users.

This paper had a significant impact within and beyond academia:

Psychological targeting as an effective approach to digital mass persuasion (2017)

Matz, Kosinski, Nave, & Stillwell; Proceedings of the National Academy of Sciences (PNAS) (Kosinski is the second author & senior co-author)

This paper illustrated the feasibility and effectiveness of the mass persuasion techniques deployed by companies such as Cambridge Analytica and exposed the risks inherent to behavioral targeting, the principal source of income for many tech giants.

See also:

  1. Matz, S. C., Kosinski, M., Nave, G., & Stillwell, D. J. (2018). Reply to Sharp et al.: Psychological targeting produces robust effects. Proceedings of the National Academy of Sciences.
  2. Matz, S. C., Kosinski, M., Nave, G., & Stillwell, D. J. (2018). Reply to Eckles et al.: Facebook’s optimization algorithms are highly unlikely to explain the effects of psychological targeting. Proceedings of the National Academy of Sciences.

And also …

  1. Bachrach, Y., Graepel, T., Kohli, P., Kosinski, M., & Stillwell, D. J. (2014). Your Digital Image: Factors Behind Demographic And Psychometric Predictions From Social Network Profiles. Proceedings of the 2014 International Conference on Autonomous Agents and Multiagent Systems.
  2. Bi, B., Kosinski, M., Shokouhi, M., & Graepel, T. (2013). Inferring the Demographics of Search Users. Proceedings of 22nd International World Wide Web Conference.
  3. Quercia, D., Las, D., Jo, C., David, P., Kosinski, M., Almeida, V., & Crowcroft, J. (2012). Facebook and Privacy: The Balancing Act of Personality, Gender, and Relationship Currency. Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media.

Personality

Birds of a feather do flock together: behavior-based personality assessment method reveals personality similarity among couples and friends (2017)

Youyou, Schwartz, Stillwell, & Kosinski; Psychological Science (Kosinski is the second & senior author with a student co-author)

Computer-based personality judgments are more accurate than those made by humans (2015)

Youyou, Kosinski, & Stillwell; Proceedings of the National Academy of Sciences (Kosinski shares the first authorship with a student co-author)

And also …

  1. Kulkarni, V., Kern, M.L., Stillwell, D., Kosinski, M., Matz, S., Ungar, L., Skiena, S., & Schwartz, H.A. (2018). Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach. PLOS ONE.
  2. Mo, F., Zhou, J., Kosinski, M., & Stillwell, D. (2018). Usage patterns and social circles on Facebook among elderly people with diverse personality traits. Educational Gerontology.
  3. Segalin, C., Celli, F., Polonio, L., Kosinski, M., Stillwell, D., Sebe, N., … Lepri, B. (2017). What your Facebook profile picture reveals about your personality. Proceedings of the 2017 ACM on Multimedia Conference.
  4. Rohrer, J., Egloff, B., Schmukle, S., Stillwell, D., & Kosinski, M. (2017). In Your Eyes Only? Discrepancies and Agreement Between Self- and Other-Reports of Personality From Age 14 to 29. Journal of Personality and Social Psychology.
  5. Matz, S., Chan, F., & Kosinski, M. (2016). Models of Personality. In M. Tkalčič (Ed.), Emotions and Personality in Personalized Systems.
  6. Yaden, D., Park, G., Schwartz, A., Kern, M.L., Eichstaedt, J.C., Kosinski, M., … Seligman, M.E.P. (2016). Women are Warmer but No Less Assertive Than Men: Gender and Language on Facebook. PLOS ONE.
  7. Lambiotte, R., & Kosinski, M. (2015). Tracking the Digital Footprints of Personality. Proceedings of the Institute of Electrical and Electronics Engineers.
  8. Aghaee, S., Blackwell, A., Kosinski, M., & Stillwell, D. (2015). Personality and Intrinsic Motivational Factors in End-User Programming. Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing.
  9. Mahalingam, V., Stillwell, D., Kosinski, M., Rust, J., & Kogan, A. (2013). Who Can Wait for the Future? A Personality Perspective. Social Psychological and Personality Science.
  10. Cantador, I., Fernandez-Tobias, I., Bellogin, A., Kosinski, M., & Stillwell, D. J. (2013). Relating Personality Types with User Preferences in Multiple Entertainment Domains. Proceedings of the 1st Workshop on Emotions and Personality in Personalized Services.
  11. Schwartz, H. A., Eichstaedt, J. C., Dziurzynski, L., Kern, M. L., Blanco, E., Kosinski, M., ... Ungar, L. H. (2013). Toward Personality Insights from Language Exploration in Social Media. Proceedings of the AAAI Spring Symposium Series. [Also see poster.]
  12. Kern, M. L., Eichstaedt, J. C., Schwartz, H. A., Dziurzynski, L., Ungar, L. H., Kosinski, M., ... Seligman, M. E. P. (2013). The Online Social Self: An Open Vocabulary Approach to Personality. Assessment.
  13. Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Dziurzynski, L., Ramones, S. M., Kosinski, M.... Ungar, L. H. (2013). Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach. PLOS ONE.
  14. Kosinski, M., Bachrach, Y., Kohli, P., Stillwell, D. J., & Graepel, T. (2013). Manifestations Of User Personality In Website Choice And Behaviour On Online Social Networks. Machine Learning.
  15. Kosinski, M., Kohli, P., Stillwell, D. J., Bachrach, Y., & Graepel, T. (2012). Personality and Website Choice. Proceedings of the ACM Web Science Conference (WebSci).
  16. Bachrach, Y., Kosinski, M., Graepel, T., Kohli, P. & Stillwell, D. J. (2012). Personality and Patterns of Facebook Usage. Proceedings of the ACM Web Science Conference (WebSci).
  17. Quercia, D., Lambiotte, R., Stillwell, D., Kosinski, M., & Crowcroft, J. The Personality of Popular Facebook Users. Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW).
  18. Quercia, D., Kosinski, M., Stillwell, D. J., & Crowcroft, J. (2011). Our Twitter Profiles, Our Selves: Predicting Personality with Twitter. Proceedings of the IEEE International Conference on Privacy, Security, Risk and Trust, and the IEEE International Conference on Social Computing.

Methods

Mining Big Data to Extract Patterns and Predict Real-Life Outcomes (2016)

Kosinski, Wang, Lakkaraju, & Leskovec; Psychological Methods.

Computational Psychology (book chapter) (in press)

Kosinski; Advanced Social Psychology (textbook)

Facebook as a Research Tool for the Social Sciences: Opportunities, Challenges, Ethical Considerations, and Practical Guidelines (2015)

Kosinski, Matz, Gosling, Popov, & Stillwell; American Psychologist

And also …

  1. Kosinski, M., & Behrend, T. (2017). Editorial overview: Big data in the behavioral sciences. Current Opinion in Behavioral Sciences.
  2. Inkster, B., Stillwell, D. J., Kosinski, M., & Jones, P. B. (2016). A decade into Facebook: where is psychiatry in the digital age? The Lancet Psychiatry.
  3. Kosinski, M., Matz, S., Gosling, S. D., Popov, V., & Stillwell, D. J. (2016). Facebook as a Research Tool. Monitor on Psychology.
  4. Mahalingam, V., Palkovic, M., Kosinski, M., & Stillwell, D. (2016). A computer adaptive measure of delay discounting. Assessment.
  5. Wilmot, M.P., Kostal, J., Stillwell, D. J., & Kosinski, M. (2015). Using Item Response Theory to Develop Measures of Acquisitive and Protective Self-Monitoring from the Original Self-Monitoring Scale. Assessment.
  6. Farnadi, G., Sitaraman, G., Sushmita, S., Celli, F., Kosinski, M., Stillwell, D., … De Cock, M. (2015). Computational Personality Recognition in Social Media. User Modeling and User-Adapted Interaction: The Journal of Personalization Research (UMUAI).
  7. Sap, M., Park, G., Eichstaedt, J. C., Kern, M. L., Stillwell, D. J., Kosinski, M., … Schwartz, H. A. (2014). Developing Age and Gender Predictive Lexica over Social Media. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
  8. Park, G., Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Kosinski, M., Stillwell, D. J., … Seligman, M. E. P. (2014). Automatic Personality Assessment through Social Media Language. Journal of Personality and Social Psychology (JPSP).
  9. Rife, S. C., Cate, K. L., Kosinski, M., & Stillwell, D. J. (2014). Participant recruitment and data collection through Facebook: the role of personality factors. International Journal of Social Research Methodology (IJSRM).
  10. Han, K. T., & Kosinski, M. (2013). Software Tools for Multistage Testing Simulations. In D. Yan, C. Lewis, & A. von Davier (Eds.), Computerized Multistage Testing: Theory and Applications.
    • AERA Division D Significant Contributions Award
  11. Celli, F., Pianesi, F., Stillwell, D. J., & Kosinski, M. (2013). Workshop on Computational Personality Recognition. Proceedings of the AAAI International Conference on Weblogs and Social Media (ICWSM).
  12. Markovikj, D., Gievska, S., Kosinski, M., & Stillwell, D. J. (2013). Mining Facebook Data for Predictive Personality Modeling. Proceedings of the AAAI International Conference on Weblogs and Social Media (ICWSM).
  13. Stillwell, D. J., & Kosinski, M. (2012). myPersonality project: Example of successful utilization of online social networks for large-scale social research. Proceedings of the ACM Workshop on Mobile Systems for Computational Social Science (MobiSys).

Well-Being

  1. Chen, L., Gong, T., Kosinski, M., Stillwell, D. J., & Davidson, R. L. (2017). Building a profile of subjective well-being for social media users. PLOS ONE.
  2. Schwartz, H. A., Sap, M., Kern, M. L., Eichstaedt, J. C., Kapelner, A., Agrawal, M., … Kosinski, M. (2016). Predicting Individual Well-Being Through the Language of Social Media. Pacific Symposium on Biocomputing.
  3. Liu, P., Tov, W., Kosinski, M., Stillwell, D. J., & Qiu, L. (2015). Do Facebook Status Updates Reflect Subjective Well-being? Valence and Time Matter. Cyberpsychology, Behavior, and Social Networking.
  4. Collins, S., Sun, Y., Kosinski, M., Stillwell, D. J., & Markuzon, N. (2015). Are You Satisfied with Life?: Predicting Satisfaction with Life from Facebook. Proceedings of the International Social Computing, Proceedings of Behavioral Modeling and Prediction Conference.
  5. Farnadi, G., Sitaraman, G., Rohani, M., Kosinski, M., Stillwell, D. J., Moens, M.-F., … De Cock, M. (2014). How are you doing? Emotions and Personality in Facebook. Proceedings of the International Conference on User Modelling, Adaptation and Personalization (UMAP).
  6. Wang, N., Kosinski, M., Stillwell, D. J., & Rust, J. (2014). Can Well-Being be Measured Using Facebook Status Updates? Validation of Facebook’s Gross National Happiness Index. Social Indicators Research.

Psychology of Music

  1. Nave, G., Minxha, J., Greenberg, D. M., Kosinski, M., Stillwell, D. J. & Rentfrow, J. (2018). Musical Preferences Predict Personality: Evidence from Active Listening and Facebook Likes. Psychological Science.
  2. Bonneville-Roussy, A., Stillwell, D., Kosinski, M., & Rust, J. (2017). Age trends in musical preferences in adulthood: Conceptualization and empirical investigation. Musicae Scientiae.
  3. Greenberg, D. M., Kosinski, M., Stillwell, D. J., Monteiro, B. L., Levitin, D. J., & Rentfrow P. J. (2016). The Song Is You: Preferential Reactions to Musical Attribute Dimensions Reflect Personality. Social Psychological and Personality Science.
  4. Greenberg, D. M., Baron-Cohen, S., Stillwell, D. J., Kosinski, M., & Rentfrow, P. J. (2015). Musical Preferences are Linked to Cognitive Styles. PLOS ONE.
  5. Rentfrow, P. J., Goldberg, L. R., Stillwell, D. J., Kosinski, M., Gosling, S. D., & Levitin, D. J. (2012). The Song Remains the Same: A Replication and Extension of the MUSIC Model. Music Perception.

Other Journal Publications

  1. Garcia, D., Drejing, K., Amato, C., Kosinski, M., & Sikström, S. (2018). The Promotion of a Bright Future and the Prevention of a Dark Future: Time Anchored Incitements in News Articles and Facebook's Status Updates. Frontiers of Psychology.
  2. Gil-Lopez, T., Shen, C., Benefield, G. A., Palomares, N. A., Kosinski, M., & Stillwell, D. J. (2018). One Size Fits All: Context Collapse, Self-Presentation Strategies and Language Styles on Facebook. Journal of Computer-Mediated Communication.
  3. Yaden, D., Eichstaedt, J. C., Kern, M.L., Smith, L. Bufonne, A., Stillwell, D. J., … Kosinski, M. (2017). The Language of Religious Affiliation: Social, Emotional, and Cognitive Difference. Social Psychological and Personality Science.
  4. Mao, M., Stillwell, D. J., Kosinski, M., & Good D. (2017). Testing Ageing Theory among Later Middle-aged and Older Users Using Social Media Authors. Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing.
  5. Feldman, G., Lian H., Kosinski, M., & Stillwell, D. (2016). Frankly, we do give a damn: The relationship between profanity and honesty. Social Psychological and Personality Science.
  6. Mao, M., Stillwell, D. J., Kosinski, M., & Good D. (2016). Age Differences in Social Media: Testing Continuity and Activity Theory among Later Middle-aged and Older Facebook Users. Proceedings of Human-Computer Interaction Conference (CHI).
  7. Gillan, C.M., Kosinski, M., Whelan, R., Phelps, E. A., & Daw, N. D. (2016). Characterizing a psychiatric symptom dimension related to deficits in goal-directed control. eLife.
  8. Park, G., Schwartz, H.A., Sap, M., Kern, M. L., Weingarten, E., Eichstaedt, J., … Kosinski M. (2015). Living in the Past, Present, and Future: Measuring Temporal Orientation with Language. Journal of Personality.
  9. Schwartz, A., Park, G. J. Sap, M., Weingarten, E., Eichstaedt, J., Kern, M. L., … Kosinski, M. (2015). Extracting Human Temporal Orientation through Facebook. Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT).
  10. Boyd, R. L., Wilson, S. R., Pennebaker, J. W., Kosinski, M., Stillwell, D. J., & Mihalcea, R. (2015). Values in Words: Using Language to Evaluate and Understand Personal Values. Proceedings of the Ninth International AAAI Conference on Web and Social Media.
  11. Wilmot, M. P., DeYoung, C. G., Stillwell, D. J., & Kosinski, M. (2015). Self-Monitoring and the Metatraits. Journal of Personality.
  12. Na, J., Kosinski, M., & Stillwell, D. (2015). When a new tool is introduced in different cultural contexts: Individualism-Collectivism and social network on Facebook. Journal of Cross-Cultural Psychology.
  13. He, Q., Glas, C., Kosinski, M., Stillwell, D. J., & Veldkamp, B. P. (2014). Predicting self-monitoring skills using textual posts on Facebook. Computers in Human Behavior.
  14. Rentfrow, P. J., Gosling, S. D., Jokela, M., Stillwell, D. J., Kosinski, M., & Potter, J. (2013). Divided We Stand: Three Psychological Regions of the United States and their Political, Economic, Social, and Health Correlates. Journal of Personality and Social Psychology (JPSP).
  15. Kern, M. L., Eichstaedt, J. C., Schwartz, H. A., Park, G., Ungar, L. H., Stillwell, D. J., … Kosinski, M. From "sooo excited!!!" to "so proud": Using Language to Study Development. Developmental Psychology.
  16. Friggeri, A., Lambiotte, R., Kosinski, M., & Fleury, E. (2012). Psychological Aspects of Social Communities. Proceedings of the International Conference on Privacy, Security, Risk and Trust and the IEEE International Conference on Social Computing.
  17. Kosinski, M., Bachrach, Y., Kasneci, G., Van Gael, J., & Graepel, T. (2012). Crowd IQ: Measuring the Intelligence of Crowdsourcing Platforms. Proceedings of the ACM Web Science Conference (WebSci).
  18. Kosinski, M., Bachrach, Y., Graepel, T., Kasneci, G., & Van Gael, J. (2012). Crowd IQ - Aggregating Opinions to Boost Performance. Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS). [View poster]

Dissertations

  1. Measurement and prediction of individual and group differences in the digital environment by M. Kosinski, Ph.D. Dissertation, University of Cambridge, 2014.
  2. Application of the dominance and ideal point IRT models to the Extraversion scale from the IPIP Big Five Personality Questionnaire by M. Kosinski, MPhil dissertation, University of Cambridge, 2009.
  3. Protocol validity indices in the sample from an on-line personality questionnaire by M. Kosinski, Technical Report, Cambridge University, 2009.
  4. On-line auctions: The influence of the Buy-It-Now price on the auction outcome by M. Kosinski, MA dissertation, Warsaw School of Social Sciences (SWPS), 2008.