• Media type: E-Article
  • Title: Human language reveals a universal positivity bias
  • Contributor: Dodds, Peter Sheridan; Clark, Eric M.; Desu, Suma; Frank, Morgan R.; Reagan, Andrew J.; Williams, Jake Ryland; Mitchell, Lewis; Harris, Kameron Decker; Kloumann, Isabel M.; Bagrow, James P.; Megerdoomian, Karine; McMahon, Matthew T.; Tivnan, Brian F.; Danforth, Christopher M.
  • imprint: Proceedings of the National Academy of Sciences, 2015
  • Published in: Proceedings of the National Academy of Sciences
  • Language: English
  • DOI: 10.1073/pnas.1411678112
  • ISSN: 0027-8424; 1091-6490
  • Origination:
  • Footnote:
  • Description: <jats:title>Significance</jats:title> <jats:p>The most commonly used words of 24 corpora across 10 diverse human languages exhibit a clear positive bias, a big data confirmation of the Pollyanna hypothesis. The study’s findings are based on 5 million individual human scores and pave the way for the development of powerful language-based tools for measuring emotion.</jats:p>
  • Access State: Open Access