Language in Tweets Offers Insight Into Community-Level Well-Being During COVID-19
Penn Today
April 30, 2020
April 08, 2026
Penn’s World Well-Being Project analyzed 1.5 billion tweets to predict county-level well-being, launching a real-time COVID-19 wellness map showing dramatically higher stress, anxiety, and loneliness compared to prior years. A counterintuitive finding emerged: counties tweeting more words like “love” were often less satisfied, as people frequently use positive language to describe what they lack. Featured: Lyle Ungar.