Regional personality assessment through social media language.

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 counties. Openness to experience was higher on the coasts, conscientiousness was uni

SUBMITTER: Giorgi S 

PROVIDER: S-EPMC9714561 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature