Journal
PLOS ONE
Volume 8, Issue 5, Pages -Publisher
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0064417
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Funding
- NASA [NNX 08A096G]
- Vermont Complex Systems Center
- National Science Foundation (NSF) [DMS-0940271]
- NSF CAREER Award [0846668]
- Divn Of Social and Economic Sciences
- Direct For Social, Behav & Economic Scie [846668] Funding Source: National Science Foundation
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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.
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