Journal article
Regional personality assessment through social media language
S Giorgi, KL Nguyen, JC Eichstaedt, M Kern, DB Yaden, M Kosinski, MEP Seligman, LH Ungar, HA Schwartz, G Park
Journal of Personality | WILEY | Published : 2022
DOI: 10.1111/jopy.12674
Abstract
Objective: We explore the personality of counties as assessed through linguistic patterns on social media. Such studies were previously limited by the cost and feasibility of large-scale surveys; however, language-based computational models applied to large social media datasets now allow for large-scale personality assessment. Method: We applied a language-based assessment of the five factor model of personality to 6,064,267 U.S. Twitter users. We aggregated the Twitter-based personality scores to 2,041 counties and compared to political, economic, social, and health outcomes measured through surveys and by government agencies. Results: There was significant personality variation across cou..
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Awarded by National Institute of Mental Health
Funding Acknowledgements
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Preparation of this manuscript was supported by the Robert Wood Johnson Foundation's Pioneer Portfolio, the "Exploring Concepts of Positive Health" grant awarded to Martin Seligman, by TRT0048: The World Well--Being Project: Measuring well-being using big data, social media, and language analyses from the Templeton Religion Trust, and by the University of Pennsylvania Positive Psychology Center