Measuring Emotion in Parliamentary Debates with Automated Textual Analysis

PLoS One. 2016 Dec 22;11(12):e0168843. doi: 10.1371/journal.pone.0168843. eCollection 2016.

Abstract

An impressive breadth of interdisciplinary research suggests that emotions have an influence on human behavior. Nonetheless, we still know very little about the emotional states of those actors whose daily decisions have a lasting impact on our societies: politicians in parliament. We address this question by making use of methods of natural language processing and a digitized corpus of text data spanning a century of parliamentary debates in the United Kingdom. We use this approach to examine changes in aggregate levels of emotional polarity in the British parliament, and to test a hypothesis about the emotional response of politicians to economic recessions. Our findings suggest that, contrary to popular belief, the mood of politicians has become more positive during the past decades, and that variations in emotional polarity can be predicted by the state of the national economy.

MeSH terms

  • Behavior*
  • Economics
  • Emotions*
  • Government Employees / psychology*
  • Humans
  • Natural Language Processing*
  • Politics*
  • United Kingdom

Grants and funding

This work was supported by 2013 Digging into Data Challenge, Jisc ID 3147, https://did3.jiscinvolve.org/wp/projects/dilipad/, with the participation of the National Sciences and Engineering Research Council of Canada (NSERC), Social Sciences and Humanities Research Council of Canada (SSHRC) and Canada Foundation for Innovation. Authors who received funding: CC GH. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.