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PLoS One. 2013 May 29;8(5):e64417. doi: 10.1371/journal.pone.0064417. Print 2013.

The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place.

Author information

1
Computational Story Lab, Department of Mathematics and Statistics, Vermont Complex Systems Center, The University of Vermont, Burlington, Vermont, USA. lewis.mitchell@uvm.edu

Abstract

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 in 2011 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-scale measures such as obesity rates.

PMID:
23734200
PMCID:
PMC3667195
DOI:
10.1371/journal.pone.0064417
[Indexed for MEDLINE]
Free PMC Article

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