IDEAS home Printed from https://ideas.repec.org/a/oup/econjl/v132y2022i643p1037-1059..html
   My bibliography  Save this article

Emotion and Reason in Political Language

Author

Listed:
  • 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.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ej/ueab104
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. repec:cup:apsrev:v:113:y:2019:i:04:p:941-962_00 is not listed on IDEAS
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dmytro Marieiev & Igor Chornyi & Olena Balaban & Julia Kobets & Olena Berezovska-Chmil & Natalia Shchur, 2023. "Linguistic Means of Expressing the Category of Temporality in Modern Political Discourse," World Journal of English Language, Sciedu Press, vol. 13(4), pages 1-23, April.
    2. Luke Barber & Michael Jetter & Tim Krieger, 2023. "Foreshadowing Mars: Religiosity and Pre-Enlightenment Warfare," CESifo Working Paper Series 10806, CESifo.
    3. Grajzl, Peter & Murrell, Peter, 2023. "A macrohistory of legal evolution and coevolution: Property, procedure, and contract in early-modern English caselaw," International Review of Law and Economics, Elsevier, vol. 73(C).
    4. Peter Grajzl & Peter Murrell, 2023. "Of families and inheritance: law and development in England before the Industrial Revolution," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 17(3), pages 387-432, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Caroline Le Pennec, 2020. "Strategic Campaign Communication: Evidence from 30,000 Candidate Manifestos," SoDa Laboratories Working Paper Series 2020-05, Monash University, SoDa Laboratories.
    2. Elliott Ash & Germain Gauthier & Philine Widmer, 2021. "RELATIO: Text Semantics Capture Political and Economic Narratives," Papers 2108.01720, arXiv.org, revised Apr 2022.
    3. Jeremias Nieminen & Salla Simola & Janne Tukiainen, 2023. "Political representation and the evolution of group differences within parties: Evidence from 110 years of parliamentary speech," Discussion Papers 161, Aboa Centre for Economics.
    4. Gavin Abercrombie & Riza Batista-Navarro, 2020. "Sentiment and position-taking analysis of parliamentary debates: a systematic literature review," Journal of Computational Social Science, Springer, vol. 3(1), pages 245-270, April.
    5. Sami Diaf & Jörg Döpke & Ulrich Fritsche & Ida Rockenbach, 2020. "Sharks and minnows in a shoal of words: Measuring latent ideological positions of German economic research institutes based on text mining techniques," Macroeconomics and Finance Series 202001, University of Hamburg, Department of Socioeconomics.
    6. Diaf, Sami & Döpke, Jörg & Fritsche, Ulrich & Rockenbach, Ida, 2022. "Sharks and minnows in a shoal of words: Measuring latent ideological positions based on text mining techniques," European Journal of Political Economy, Elsevier, vol. 75(C).
    7. Bose, Neha, 2020. "Attitude towards Immigrants: Evidence from U.S. Congressional Speeches," CAGE Online Working Paper Series 464, Competitive Advantage in the Global Economy (CAGE).
    8. Bose, Neha, 2020. "Attitude towards Immigrants: Evidence from U.S. Congressional Speeches," The Warwick Economics Research Paper Series (TWERPS) 1259, University of Warwick, Department of Economics.
    9. Morales, Juan S., 2021. "Legislating during war: Conflict and politics in Colombia," Journal of Public Economics, Elsevier, vol. 193(C).
    10. Renáta Németh, 2023. "A scoping review on the use of natural language processing in research on political polarization: trends and research prospects," Journal of Computational Social Science, Springer, vol. 6(1), pages 289-313, April.
    11. 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.
    12. Mohamed M. Mostafa, 2023. "A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3905-3935, August.
    13. Albina Latifi & Viktoriia Naboka-Krell & Peter Tillmann & Peter Winker, 2023. "Fiscal Policy in the Bundestag: Textual Analysis and Macroeconomic Effects," MAGKS Papers on Economics 202307, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    14. Azzimonti, Marina, 2018. "Partisan conflict and private investment," Journal of Monetary Economics, Elsevier, vol. 93(C), pages 114-131.
    15. Gloria Gennaro & Giampaolo Lecce & Massimo Morelli, 2019. "Intertemporal Evidence on the Strategy of Populism," Working Papers 647, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    16. Martin Haselmayer & Marcelo Jenny, 2017. "Sentiment analysis of political communication: combining a dictionary approach with crowdcoding," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2623-2646, November.
    17. Draca, Mirko & Schwarz, Carlo, 2019. "How Polarized are Citizens? Measuring Ideology from the Ground-Up," The Warwick Economics Research Paper Series (TWERPS) 1218, University of Warwick, Department of Economics.
    18. Scott R. Baker & Nicholas Bloom & Brandice Canes-Wrone & Steven J. Davis & Jonathan Rodden, 2014. "Why Has US Policy Uncertainty Risen since 1960?," American Economic Review, American Economic Association, vol. 104(5), pages 56-60, May.
    19. Elliott Ash & Daniel L. Chen & Suresh Naidu, 2022. "Ideas Have Consequences : The Impact of Law and Economics on American Justice," Working Papers hal-03899739, HAL.
    20. Adriana Bunea & Raimondas Ibenskas, 2015. "Quantitative text analysis and the study of EU lobbying and interest groups," European Union Politics, , vol. 16(3), pages 429-455, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:econjl:v:132:y:2022:i:643:p:1037-1059.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.