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RELATIO: Text Semantics Capture Political and Economic Narratives

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  • Elliott Ash
  • Germain Gauthier
  • Philine Widmer

Abstract

Social scientists have become increasingly interested in how narratives -- the stories in fiction, politics, and life -- shape beliefs, behavior, and government policies. This paper provides an unsupervised method to quantify latent narrative structures in text documents. Our new software package RELATIO identifies coherent entity groups and maps explicit relations between them in the text. We provide an application to the United States Congressional Record to analyze political and economic narratives in recent decades. Our analysis highlights the dynamics, sentiment, polarization, and interconnectedness of narratives in political discourse.

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  • Elliott Ash & Germain Gauthier & Philine Widmer, 2021. "RELATIO: Text Semantics Capture Political and Economic Narratives," Papers 2108.01720, arXiv.org, revised Apr 2022.
  • Handle: RePEc:arx:papers:2108.01720
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    References listed on IDEAS

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    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. Rodrik, Dani & Mukand, Sharun, 2018. "The Political Economy of Ideas: On Ideas versus Interests in Policymaking," CEPR Discussion Papers 12820, C.E.P.R. Discussion Papers.
    3. Benjamin Enke, 2020. "Moral Values and Voting," Journal of Political Economy, University of Chicago Press, vol. 128(10), pages 3679-3729.
    4. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    5. 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.
    6. Benabou, Roland & Falk, Armin & Tirole, Jean, 2018. "Narratives, Imperatives, and Moral Reasoning," IZA Discussion Papers 11665, Institute of Labor Economics (IZA).
    7. Lauderdale, Benjamin E. & Herzog, Alexander, 2016. "Measuring Political Positions from Legislative Speech," Political Analysis, Cambridge University Press, vol. 24(3), pages 374-394, July.
    8. Vegard H. Larsen & Leif Anders Thorsrud, 2018. "Business cycle narratives," Working Paper 2018/3, Norges Bank.
    9. Mukand, Sharun W. & Rodrik, Dani, 2018. "The Political Economy of Ideas," CAGE Online Working Paper Series 370, Competitive Advantage in the Global Economy (CAGE).
    10. Leland Bybee & Bryan T. Kelly & Asaf Manela & Dacheng Xiu, 2020. "The Structure of Economic News," NBER Working Papers 26648, National Bureau of Economic Research, Inc.
    11. Wolfgang Kuhle, 2018. "Thought Viruses and Asset Prices," Papers 1812.11417, arXiv.org.
    12. Kfir Eliaz & Ran Spiegler, 2020. "A Model of Competing Narratives," American Economic Review, American Economic Association, vol. 110(12), pages 3786-3816, December.
    13. Mukand, Sharun W. & Rodrik, Dani, 2018. "The Political Economy of Ideas," The Warwick Economics Research Paper Series (TWERPS) 1163, University of Warwick, Department of Economics.
    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.
    15. Monroe, Burt L. & Colaresi, Michael P. & Quinn, Kevin M., 2008. "Fightin' Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict," Political Analysis, Cambridge University Press, vol. 16(4), pages 372-403.
    16. 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.
    17. Kevin M. Quinn & Burt L. Monroe & Michael Colaresi & Michael H. Crespin & Dragomir R. Radev, 2010. "How to Analyze Political Attention with Minimal Assumptions and Costs," American Journal of Political Science, John Wiley & Sons, vol. 54(1), pages 209-228, January.
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    Cited by:

    1. Łukasz Baszczak, 2023. "Ekonomia narracji – początki nowego nurtu," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 66-81.

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