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Human language reveals a universal positivity bias.

Peter Sheridan Dodds1, Eric M Clark2, Suma Desu3

  • 1Computational Story Lab, Vermont Advanced Computing Core, and the Department of Mathematics and Statistics, University of Vermont, Burlington, VT 05401; Vermont Complex Systems Center, University of Vermont, Burlington, VT 05401; peter.dodds@uvm.edu btivnan@mitre.org chris.danforth@uvm.edu.

Proceedings of the National Academy of Sciences of the United States of America
|February 13, 2015
PubMed
Summary
This summary is machine-generated.

Human language shows a universal positivity bias in word emotion, consistent across translations and independent of word frequency. This finding reveals deep sociality within language, enabling new text analysis tools.

Keywords:
happinesslanguagepositivitysocial psychology

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Area of Science:

  • Psycholinguistics
  • Computational Linguistics
  • Sociolinguistics

Background:

  • Human language reflects social cognition.
  • Understanding the emotional valence of words is crucial for linguistic analysis.
  • Cross-cultural linguistic studies are essential for identifying universal patterns.

Purpose of the Study:

  • To investigate the universality of emotional bias in human language.
  • To determine if emotional content is preserved across languages.
  • To explore the relationship between word frequency and emotional bias.

Main Methods:

  • Human evaluation of 100,000 words across 24 corpora in 10 languages.
  • Cross-lingual translation analysis of emotional content.
  • Statistical analysis of word frequency and positivity bias.

Main Results:

  • A universal positivity bias was observed in natural human language.
  • Emotional content of words remained consistent across languages under translation.
  • Positivity bias was independent of word frequency.

Conclusions:

  • Human sociality is deeply imprinted in language.
  • A universal positivity bias exists in word emotion.
  • Developed methods allow for emotional content measurement in large texts.