The World Well-Being Project (WWBP) is pioneering scientific techniques for measuring psychological well-being and physical health based on the analysis of language in social media. As a collaboration between computer scientists, psychologists, and medical researchers, we are shedding new light on the psychosocial processes that affect health and happiness and exploring the potential for our unobtrusive well-being measures to supplement — and in part replace — expensive survey methods. Ultimately, we hope that our insights and analyses will help individuals, organizations, and governments choose actions and policies that are not just in the best economic interest of the people or companies, but which truly improve their well-being.

Language of Extraversion

We have built models distinguishing the language of people with different traits including personality (extraversion, neuroticism, conscientiousness, agreeableness, openness to experience), mental well-being (stress, depression, ADHD), political orientation, health behaviors (as measured in medical records). We also work on deep learning modeling including building chatbots which reflect different styles and traits.

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NIH, Templeton Religious Trust

Students and Postdocs

  • Joao Sedoc
  • Anneke Buffone
  • Johannes Eichstaedt
  • Kokil Jaidka
  • Sharath Guntuku