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Emotion and Reason in Political Language

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  • Gloria Gennaro
  • Elliott Ash

Abstract

This paper studies the use of emotion and reason in political discourse. Adopting computational-linguistics techniques to construct a validated text-based scale, we measure emotionality in six million speeches given in U.S. Congress over the years 1858–2014. Intuitively, emotionality spikes during times of war and is highest in speeches about patriotism. In the time series, emotionality was relatively low and stable in earlier years but increased significantly starting in the late 1970s. Across Congress members, emotionality is higher for Democrats, for women, for ethnic/religious minorities, for the opposition party and for members with ideologically extreme roll-call voting records.

Suggested Citation

  • Gloria Gennaro & Elliott Ash, 2022. "Emotion and Reason in Political Language," The Economic Journal, Royal Economic Society, vol. 132(643), pages 1037-1059.
    • Handle: RePEc:oup:econjl:v:132:y:2022:i:643:p:1037-1059.
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    References listed on IDEAS

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    1. Rheault, Ludovic & Cochrane, Christopher, 2020. "Word Embeddings for the Analysis of Ideological Placement in Parliamentary Corpora," Political Analysis, Cambridge University Press, vol. 28(1), pages 112-133, January.
    2. Ted Brader & Nicholas A. Valentino & Elizabeth Suhay, 2008. "What Triggers Public Opposition to Immigration? Anxiety, Group Cues, and Immigration Threat," American Journal of Political Science, John Wiley & Sons, vol. 52(4), pages 959-978, October.
    3. Jacob Jensen & Ethan Kaplan & Suresh Naidu & Laurence Wilse-Samson, 2012. "Political Polarization and the Dynamics of Political Language: Evidence from 130 Years of Partisan Speech," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 45(2 (Fall)), pages 1-81.
    4. Matthew Gentzkow & Jesse M. Shapiro & Matt Taddy, 2019. "Measuring Group Differences in High‐Dimensional Choices: Method and Application to Congressional Speech," Econometrica, Econometric Society, vol. 87(4), pages 1307-1340, July.
    5. Grimmer, Justin & Stewart, Brandon M., 2013. "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts," Political Analysis, Cambridge University Press, vol. 21(3), pages 267-297, July.
    6. Lowe, Will & Benoit, Kenneth, 2013. "Validating Estimates of Latent Traits from Textual Data Using Human Judgment as a Benchmark," Political Analysis, Cambridge University Press, vol. 21(3), pages 298-313, July.
    7. Jacob Jensen & Ethan Kaplan & Suresh Naidu & Laurence Wilse-Samson, 2012. "Political Polarization and the Dynamics of Political Language: Evidence from 130 Years of Partisan Speech," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 1-81.
    8. Rodman, Emma, 2020. "A Timely Intervention: Tracking the Changing Meanings of Political Concepts with Word Vectors," Political Analysis, Cambridge University Press, vol. 28(1), pages 87-111, January.
    9. repec:cup:apsrev:v:113:y:2019:i:04:p:941-962_00 is not listed on IDEAS
    10. Dietrich, Bryce J. & Hayes, Matthew & O’Brien, Diana Z., 2019. "Pitch Perfect: Vocal Pitch and the Emotional Intensity of Congressional Speech," American Political Science Review, Cambridge University Press, vol. 113(4), pages 941-962, November.
    11. W. Bentley MacLeod, 1996. "Decision, Contract, and Emotion: Some Economics for a Complex and Confusing World," Canadian Journal of Economics, Canadian Economics Association, vol. 29(4), pages 788-810, November.
    12. Goet, Niels D., 2019. "Measuring Polarization with Text Analysis: Evidence from the UK House of Commons, 1811–2015," Political Analysis, Cambridge University Press, vol. 27(4), pages 518-539, October.
    13. Elliott Ash & Daniel L. Chen & Arianna Ornaghi, 2024. "Gender Attitudes in the Judiciary: Evidence from US Circuit Courts," American Economic Journal: Applied Economics, American Economic Association, vol. 16(1), pages 314-350, January.
    14. Peterson, Andrew & Spirling, Arthur, 2018. "Classification Accuracy as a Substantive Quantity of Interest: Measuring Polarization in Westminster Systems," Political Analysis, Cambridge University Press, vol. 26(1), pages 120-128, January.
    15. Kenneth Benoit & Kevin Munger & Arthur Spirling, 2019. "Measuring and Explaining Political Sophistication through Textual Complexity," American Journal of Political Science, John Wiley & Sons, vol. 63(2), pages 491-508, April.
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