County-by-County Comparison of Twitter and CDC Data (IMAGE)
Caption
Penn researchers compared the language of tweets and CDC data on coronary heart disease deaths on a county-by-county level. On one hand, they found that expressions of negative emotions such as anger, stress and fatigue in a county's tweets were associated with higher heart disease risk. On the other hand, positive emotions like excitement and optimism were associated with lower risk. Because the people tweeting these words were not the ones dying, the study suggests that Twitter language is capturing some greater aspect of community life in those counties that has implications for heart disease risk.
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University of Pennsylvania
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