Psychological language on Twitter predicts county-level heart disease mortality.
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ABSTRACT:
SUBMITTER: Eichstaedt JC
PROVIDER: S-EPMC4433545 | biostudies-literature | 2015 Feb
REPOSITORIES: biostudies-literature
Publications
Psychological language on Twitter predicts county-level heart disease mortality.
Eichstaedt Johannes C JC Schwartz Hansen Andrew HA Kern Margaret L ML Park Gregory G Labarthe Darwin R DR Merchant Raina M RM Jha Sneha S Agrawal Megha M Dziurzynski Lukasz A LA Sap Maarten M Weeg Christopher C Larson Emily E EE Ungar Lyle H LH Seligman Martin E P ME
Psychological science 20150120 2
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. M ...[more]
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