Psychological language on Twitter predicts county-level heart disease mortality.

@article{Eichstaedt2015PsychologicalLO,
  title={Psychological language on Twitter predicts county-level heart disease mortality.},
  author={Johannes C. Eichstaedt and H. Andrew Schwartz and Margaret L. Kern and Gregory J. Park and DarwinR. Labarthe and Raina M Merchant and Sneha Jha and Monika Agrawal and Lukasz Dziurzynski and Maarten Sap and Christopher Weeg and Emily E Larson and Lyle H. Ungar and Martin E. P. Seligman},
  journal={Psychological science},
  year={2015},
  volume={26 2},
  pages={
          159-69
        }
}
Hostility and chronic stress are known risk factors for heart disease, but they are costly to assess on a large scale. We used language expressed on Twitter to characterize community-level psychological correlates of age-adjusted mortality from atherosclerotic heart disease (AHD). Language patterns reflecting negative social relationships, disengagement, and negative emotions-especially anger-emerged as risk factors; positive emotions and psychological engagement emerged as protective factors… CONTINUE READING
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