Cited by 248Psychological Well-being and Life SatisfactionMental Health via WritingSentiment Analysis and Opinion Mining

An unobtrusive behavioral model of "gross national happiness"

Kramer, Adam D.I.·2010·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

I analyze the use of emotion words for approximately 100 million Facebook users since September of 2007. "Gross national happiness" is operationalized as a standardized difference between the use of positive and negative words, aggregated across days, and present a graph of this metric. I begin to validate this metric by showing that positive and negative word use in status updates covaries with self-reported satisfaction with life (convergent validity), and also note that the graph shows peaks and valleys on days that are culturally and emotionally significant (face validity). I discuss the development and computation of this metric, argue that this metric and graph serves as a representation of the overall emotional health of the nation, and discuss the importance of tracking such metrics.

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Crossref · 10.1145/1753326.1753369

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Authors
Kramer, A. D. I.
Affiliations
University of Oregon (US)
Corresponding author
Kramer, Adam D.I.
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2010-04-10
Pages
287-290
OpenAlex
W2150819813
Cited by
247
References
17
Citations by year
2026: 2 · 2025: 7 · 2024: 5 · 2023: 8 · 2022: 13 · 2021: 39 · 2020: 12 · 2019: 12 · 2018: 13 · 2017: 10 · 2016: 16 · 2015: 29 · 2014: 26 · 2013: 28 · 2012: 14
FWCI
42.88
Type
conference paper
Language
en
Open access
closed
Locations
CHI Conference on Human Factors in Computing Systems (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
  • Social Sciences › Psychology › Social Psychology › Mental Health via Writing
  • Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
Keywords
Gross National Happiness, emotional words, Facebook status updates, life satisfaction, self-reported well-being, convergent validity, face validity, social media sentiment

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