Amount and Diversity of Digital Emotional Expression Predicts Happiness

Open Access
Authors
  • L. Vuillier
  • A. Wood Brooks
  • J. Gruber
  • R. Sun ORCID logo
  • M.I. Norton
  • M.J. Samson
  • E. Simon-Thomas
  • P. Piff
  • S. Fan
  • J. Quoidbach
  • C. Gorintin
  • P. Fleming
  • A. Bejar
  • D. Keltner
Publication date 2018
Series Harvard Business School working paper, 18-083
Number of pages 42
Publisher Boston: Harvard Business School
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
Abstract
Emotional expression in digital form has become increasingly ubiquitous via the proliferation of computers and handheld devices. Using online surveys and live chat experiments across four studies and 1325 individuals (Study 1A-B and 2A-B), and a large social media dataset spanning 4.9 billion individuals (Study 3), we examine whether digital emotion expression (emojis) predicts happiness at the individual and national levels. Our studies converge on three central findings. First, people use emojis in text-based communication to convey emotional experience. Second, the amount and diversity of emojis causally increases happiness during social interactions. Third, across 122 countries, higher total amount and greater diversity of emoji usage per capita and per user correlate with higher national happiness. Across levels of analysis, our results suggest that both the amount and diversity of digital emotion expression influences well-being.
Document type Working paper
Language English
Published at https://www.hbs.edu/faculty/Publication%20Files/18-083_f3507e25-1e7c-4840-a97c-6e893c0a98fe.pdf
Downloads
36086381 (Final published version)
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