You can find most of my published research on Google Scholar.

• Giorgi, S., Nguyen, K. L., Eichstaedt, J. C., Kern, M. L., Yaden, D. B., Kosinski, M., ... & Park, G. (2022). Regional personality assessment through social media language. Journal of Personality, 90(3), 405-425. [pdf] [scholar]
• Eichstaedt, J. C., Kern, M. L., Yaden, D. B., Schwartz, H. A., Giorgi, S., Park, G., ... & Ungar, L. H. (2021). Closed-and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations. Psychological Methods, 26(4), 398-427. [pdf] [scholar]
• Eichstaedt, J. C., Schwartz, H. A., Giorgi, S., Kern, M. L., Park, G., Sap, M., ... & Ungar, L. H. (2018). More evidence that Twitter language predicts heart disease: A response and replication. PsyArXiv Preprints, 10, 1-32. [pdf] [scholar]
• Park, G., Schwartz, H. A., Sap, M., Kern, M. L., Weingarten, E., Eichstaedt, J. C., ... & Seligman, M. E. (2017). Living in the past, present, and future: Measuring temporal orientation with language. Journal of Personality, 85(2), 270-280. [pdf] [scholar]
• Kern, M. L., Park, G., Eichstaedt, J. C., Schwartz, H. A., Sap, M., Smith, L. K., & Ungar, L. H. (2016). Gaining insights from social media language: Methodologies and challenges. Psychological Methods, 21(4), 507-528. [pdf] [scholar]
• Preoţiuc-Pietro, D., Schwartz, H. A., Park, G., Eichstaedt, J., Kern, M., Ungar, L., & Shulman, E. (2016). Modelling valence and arousal in Facebook posts. Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis, 7, 9-15. [pdf] [scholar]
• Park, G., Yaden, D. B., Schwartz, H. A., Kern, M. L., Eichstaedt, J. C., Kosinski, M., ... & Seligman, M. E. (2016). Women are warmer but no less assertive than men: Gender and language on Facebook. PloS One, 11(5), e0155885. [pdf] [scholar]
• Schwartz, H. A., Sap, M., Kern, M. L., Eichstaedt, J. C., Kapelner, A., Agrawal, M., ... & Ungar, L. H. (2016). Predicting individual well-being through the language of social media. Biocomputing 2016: Proceedings of the Pacific Symposium, 2016, 516-527. [pdf] [scholar]
• Eichstaedt, J. C., Schwartz, H. A., Kern, M. L., Park, G., Labarthe, D. R., Merchant, R. M., ... & Seligman, M. E. (2015). Psychological language on Twitter predicts county-level heart disease mortality. Psychological Science, 26(2), 159-169. [pdf] [scholar]
• Preoţiuc-Pietro, D., Eichstaedt, J., Park, G., Sap, M., Smith, L., Tobolsky, V., ... & Ungar, L. H. (2015). The role of personality, age, and gender in tweeting about mental illness. Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2, 21-30. [pdf] [scholar]
• Schwartz, H. A., Park, G., Sap, M., Weingarten, E., Eichstaedt, J., Kern, M., ... & Ungar, L. H. (2015). Extracting human temporal orientation from Facebook language. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2015, 409-419. [pdf] [scholar]
• Park, G., Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Kosinski, M., Stillwell, D. J., ... & Seligman, M. E. (2015). Automatic personality assessment through social media language. Journal of Personality and Social Psychology, 108(6), 934-953. [pdf] [scholar]
• Sap, M., Park, G., Eichstaedt, J., Kern, M., Stillwell, D., Kosinski, M., ... & Schwartz, H. A. (2014). Developing age and gender predictive lexica over social media. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014, 1146-1151. [pdf] [scholar]
• Schwartz, H. A., Eichstaedt, J., Kern, M., Park, G., Sap, M., Stillwell, D., ... & Ungar, L. H. (2014). Towards assessing changes in degree of depression through Facebook. Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 1, 118-125. [pdf] [scholar]
• Kern, M. L., Eichstaedt, J. C., Schwartz, H. A., Park, G., Ungar, L. H., Stillwell, D. J., ... & Seligman, M. E. (2014). From “Sooo excited!!!” to “So proud”: Using language to study development. Developmental Psychology, 50(1), 178-188. [pdf] [scholar]
• Park, G., Lubinski, D., & Benbow, C. P. (2013). When less is more: Effects of grade skipping on adult STEM productivity among mathematically precocious adolescents. Journal of Educational Psychology, 105(1), 176-198. [pdf] [scholar]
• Schwartz, H., Eichstaedt, J., Kern, M., Dziurzynski, L., Lucas, R., Agrawal, M., ... & Ungar, L. H. (2013). Characterizing geographic variation in well-being using tweets. Proceedings of the International AAAI Conference on Web and Social Media, 7(1), 583-591. [pdf] [scholar]
• Sumner, C., Byers, A., Boochever, R., & Park, G. (2012). Predicting dark triad personality traits from Twitter usage and a linguistic analysis of tweets. International Conference on Machine Learning and Applications, 2, 386-393. [pdf] [scholar]
• Park, G., Lubinski, D., & Benbow, C. P. (2008). Ability differences among people who have commensurate degrees matter for scientific creativity. Psychological Science, 19(10), 957-961. [pdf] [scholar]
• Park, G., Lubinski, D., & Benbow, C. P. (2007). Contrasting intellectual patterns predict creativity in the arts and sciences: Tracking intellectually precocious youth over 25 years. Psychological Science, 18(11), 948-952. [pdf] [scholar]