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Language patterns reflecting negative social relationships, disengagement, and negative emotions\u2014especially anger\u2014emerged as risk factors; positive emotions and psychological engagement emerged as protective factors. Most correlations remained significant after controlling for income and education. A cross-sectional regression model based only on Twitter language predicted AHD mortality significantly better than did a model that combined 10 common demographic, socioeconomic, and health risk factors, including smoking, diabetes, hypertension, and obesity. Capturing community psychological characteristics through social media is feasible, and these characteristics are strong markers of cardiovascular mortality at the community level.<\/jats:p>","DOI":"10.1177\/0956797614557867","type":"journal-article","created":{"date-parts":[[2015,1,21]],"date-time":"2015-01-21T02:15:45Z","timestamp":1421806545000},"page":"159-169","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":363,"title":["Psychological Language on Twitter Predicts County-Level Heart Disease Mortality"],"prefix":"10.1177","volume":"26","author":[{"given":"Johannes C.","family":"Eichstaedt","sequence":"first","affiliation":[{"name":"Department of Psychology, University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hansen Andrew","family":"Schwartz","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of Pennsylvania"},{"name":"Department of Computer and Information Science, University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Margaret L.","family":"Kern","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of Pennsylvania"},{"name":"Graduate School of Education, University of Melbourne"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gregory","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Darwin R.","family":"Labarthe","sequence":"additional","affiliation":[{"name":"School of Medicine, Northwestern University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raina M.","family":"Merchant","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine, University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sneha","family":"Jha","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science, University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Megha","family":"Agrawal","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science, University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lukasz A.","family":"Dziurzynski","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maarten","family":"Sap","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher","family":"Weeg","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emily E.","family":"Larson","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lyle H.","family":"Ungar","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of Pennsylvania"},{"name":"Department of Computer and Information Science, University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin E. 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