In a new paper, a pair of statisticians at the University of Vermont argue that linguistic analysis — not just of song lyrics but of blogs and speeches — could add a new and valuable dimension to a growing area of mass psychology: the determination of national well-being.
“We argue that you can use this data as a kind of remote sensor of well-being,” said Peter Sheridan Dodds, a co-author of the new paper, with Christopher M. Danforth; both are in the department of mathematics and statistics.
“It’s information people are volunteering; they’re not being surveyed in the usual way,” Dr. Dodds went on. “You mess with people when you ask them questions about happiness. You’re not sure if they’re trying to make you happy, or have no idea whether they’re happy. It’s reactive.”
The paper is “Measuring the Happiness of Large-Scale Written Expression: Songs, Blogs, and Presidents;” Peter Sheridan Dodds and Christopher M. Danforth; Journal of Happiness Studies; doi: 10.1007/s10902-009-9150-9.