Suppose you wanted to predict rates of heart disease in a community. You might look at the age of the population and other demographic factors, rates of smoking and obesity, and levels of income and education. But there’s one factor that’s a better heart disease predictor than all the others combined: the emotions that people in the community express in their tweets. This surprising research from lead investigator Dr. Johannes Eichstaedt of the University of Pennsylvania and colleagues is only one of many examples of how our feelings shape our susceptibility to disease
If you look closely, you can see patterns in social mood that help you predict social trends. Learn more with the Socionomics Premier Membership.