Wired magazine’s science blog featured the results of a study led by 2011 graduate Isabel Kloumann along with applied mathematicians Chris Danforth and Peter Dodds working in the University of Vermont’s Advanced Computing Center.

According to the story, “Happy Words Trump Negativity in the English Language,” the researchers used “overwhelming mathematical force” to analyze 361 billion words used in databases from Google Books, Twitter, the New York Times and lyrics from popular songs. Read the story at Wired.com.