Tightness-looseness across the 50 united states

We conduct a detailed investigation of correlations between real-time expressions of individuals made across the United States and a wide range of emotional, geographic, demographic, and health characteristics. We do so by combining (1) a massive, geo-tagged data set comprising over 80 million words generated over the course of several recent years on the social network service Twitter and (2) annually-surveyed characteristics of all 50 states and close to 400 urban populations. Among many results, we generate taxonomies of states and cities based on their similarities in word use; estimate the happiness levels of states and cities; correlate highly-resolved demographic characteristics with happiness levels; and connect word choice and message length with urban characteristics such as education levels and obesity rates. Our results show how social media may potentially be used to estimate real-time levels and changes in population-level measures such as obesity rates.

Volumes of research show that people in different geographic regions differ psychologically. Most of that work converges on the conclusion that there are geographic differences in personality and values, but little attention has been paid to developing an integrative account of how those differences emerge, persist, and become expressed at the geographic level. Drawing from research in psychology and other social sciences, we present a theoretical account of the mechanisms through which geographic variation in psychological characteristics emerge and persist within regions, and we propose a model for conceptualizing the processes through which such characteristics become expressed in geographic social indicators. The proposed processes were examined in the context of theory and research on personality traits. Hypotheses derived from the model were tested using personality data from over half a million U.S. residents. Results provided preliminary support for the model, revealing clear patterns of regional variation across the U.S. and strong relationships between state-level personality and geographic indicators of crime, social capital, religiosity, political values, employment, and health. Overall, this work highlights the potential insights generated by including macrolevel perspectives within psychology and suggests new routes to bridging theory and research across several disciplines in the social sciences.