Twitter Can Predict Heart Disease, Says Study

Researchers from the University of Pennsylvania found that expressions of negative emotions such as anger, stress and fatigue in a county’s tweets were associated with higher heart disease risk.

Conversely, positive emotions such as excitement and optimism were associated with lower risk.

Negative emotional language and topics, such as words like “hate” or expletives, remained strongly correlated with heart disease mortality, even after variables like income and education were taken into account.