April 18, 2018
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.
The Socionomist enables you to see trend-shaping waves of social mood, as reflected by the stock market — and capitalize on them. The June issue looks at phases of social mood and features a “Research Roundup,” which highlights five academic studies that shine a light on important aspects of socionomic theory. Mood Riffs topics include “quiet luxury,” loneliness, the Writers Guild strike and efforts by countries to trade in currencies other than the U.S. dollar. Read the June issue when you become a Socionomics Premier Member.
