IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2108.01720.html
   My bibliography  Save this paper

RELATIO: Text Semantics Capture Political and Economic Narratives

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2108.01720
    File Function: Latest version
    Download Restriction: no
    ---><---

    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. 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�ghaug Larsen & Leif Anders Thorsrud, 2018. "Business cycle narratives," Working Papers No 6/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    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.
    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. Łukasz Baszczak, 2023. "Ekonomia narracji – początki nowego nurtu," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 66-81.

    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. Gloria Gennaro & Elliott Ash, 2022. "Emotion and Reason in Political Language," The Economic Journal, Royal Economic Society, vol. 132(643), pages 1037-1059.
    3. Matthew Gentzkow & Bryan T. Kelly & Matt Taddy, 2017. "Text as Data," NBER Working Papers 23276, National Bureau of Economic Research, Inc.
    4. Andres Algaba & David Ardia & Keven Bluteau & Samuel Borms & Kris Boudt, 2020. "Econometrics Meets Sentiment: An Overview Of Methodology And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 512-547, July.
    5. 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.
    6. Rodríguez Chatruc, Marisol & Stein, Ernesto H. & Vlaicu, Razvan, 2019. "Trade Attitudes in Latin America: Evidence from a Multi-Country Survey Experiment," IDB Publications (Working Papers) 9603, Inter-American Development Bank.
    7. 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.
    8. Carsten Hefeker & Michael Neugart, 2019. "Policy Coordination Under Model Disagreement and Uncertainty," Open Economies Review, Springer, vol. 30(4), pages 719-737, September.
    9. Azzimonti, Marina, 2018. "Partisan conflict and private investment," Journal of Monetary Economics, Elsevier, vol. 93(C), pages 114-131.
    10. Yuting Chen & Don Bredin & Valerio Potì & Roman Matkovskyy, 2022. "COVID risk narratives: a computational linguistic approach to the econometric identification of narrative risk during a pandemic," Digital Finance, Springer, vol. 4(1), pages 17-61, March.
    11. Aprigliano, Valentina & Emiliozzi, Simone & Guaitoli, Gabriele & Luciani, Andrea & Marcucci, Juri & Monteforte, Libero, 2023. "The power of text-based indicators in forecasting Italian economic activity," International Journal of Forecasting, Elsevier, vol. 39(2), pages 791-808.
    12. Arthur Blouin & Sharun W. Mukand, 2019. "Erasing Ethnicity? Propaganda, Nation Building, and Identity in Rwanda," Journal of Political Economy, University of Chicago Press, vol. 127(3), pages 1008-1062.
    13. Michalopoulos, Stelios & ,, 2019. "Folklore," CEPR Discussion Papers 13425, C.E.P.R. Discussion Papers.
    14. 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).
    15. 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.
    16. Hacioglu Hoke, Sinem, 2019. "Macroeconomic effects of political risk shocks," Bank of England working papers 841, Bank of England.
    17. Rodríguez Chatruc, Marisol & Stein, Ernesto & Vlaicu, Razvan, 2021. "How issue framing shapes trade attitudes: Evidence from a multi-country survey experiment," Journal of International Economics, Elsevier, vol. 129(C).
    18. Rafael Di Tella & Dani Rodrik, 2020. "Labour Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys," The Economic Journal, Royal Economic Society, vol. 130(628), pages 1008-1030.
    19. Greene, Zac & Ceron, Andrea & Schumacher, Gijs & Fazekas, Zoltan, 2016. "The Nuts and Bolts of Automated Text Analysis. Comparing Different Document Pre-Processing Techniques in Four Countries," OSF Preprints ghxj8, Center for Open Science.
    20. Oscar Calvo-Gonz'alez & Axel Eizmendi & Germ'an Reyes, 2022. "The Shifting Attention of Political Leaders: Evidence from Two Centuries of Presidential Speeches," Papers 2209.00540, arXiv.org, revised Jun 2023.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:2108.01720. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.