IDEAS home Printed from https://ideas.repec.org/a/spr/jcsosc/v5y2022i2d10.1007_s42001-022-00181-9.html
   My bibliography  Save this article

Strategic sentiments and emotions in post-Second World War party manifestos in Finland

Author

Listed:
  • Juha Koljonen

    (University of Helsinki)

  • Emily Öhman

    (University of Helsinki
    Waseda University)

  • Pertti Ahonen

    (University of Helsinki)

  • Mikko Mattila

    (University of Helsinki)

Abstract

We contribute to the growing number of studies on emotions and politics by investigating how political parties strategically use sentiments and emotions in party manifestos. We use computational methods in examining changes of sentiments and emotions in Finnish party manifestos from 1945 to 2019. We use sentiment and emotion lexicons first translated from English into Finnish and then modified for the purposes of our study. We analyze how the use of emotions and sentiments differs between government and opposition parties depending on their left/right ideology and the specific type of party manifesto. In addition to traditional sentiment and emotion analysis, we use emotion intensity analysis. Our results indicate that in Finland, government and opposition parties do not differ substantially from each other in their use of emotional language. From a historical perspective, the individual emotions used in party manifestos have persisted, but changes have taken place in the intensity of using emotion words. We also find that in comparison with other parties, populist parties both appeal to different emotions and appeal to the same emotions with different intensities.

Suggested Citation

  • Juha Koljonen & Emily Öhman & Pertti Ahonen & Mikko Mattila, 2022. "Strategic sentiments and emotions in post-Second World War party manifestos in Finland," Journal of Computational Social Science, Springer, vol. 5(2), pages 1529-1554, November.
    • Handle: RePEc:spr:jcsosc:v:5:y:2022:i:2:d:10.1007_s42001-022-00181-9
    DOI: 10.1007/s42001-022-00181-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42001-022-00181-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s42001-022-00181-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Kim L. Fridkin & Patrick Kenney, 2011. "Variability in Citizens’ Reactions to Different Types of Negative Campaigns," American Journal of Political Science, John Wiley & Sons, vol. 55(2), pages 307-325, April.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    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. Hiroki Takikawa & Takuto Sakamoto, 2020. "The moral–emotional foundations of political discourse: a comparative analysis of the speech records of the U.S. and the Japanese legislatures," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(2), pages 547-566, April.
    2. Rauh, Christian, 2018. "Validating a sentiment dictionary for German political language—a workbench note," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 15(4), pages 319-343.
    3. Eyal Eckhaus & Zachary Sheaffer, 2018. "Managerial hubris detection: the case of Enron," Risk Management, Palgrave Macmillan, vol. 20(4), pages 304-325, November.
    4. Wolfinger, Julia & Köhler, Ekkehard A. & Feld, Lars P. & Thomas, Tobias, 2018. "57 Channels (And Nothin On): Does TV-News on the Eurozone affect Government Bond Yield Spreads?," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181610, Verein für Socialpolitik / German Economic Association.
    5. Shrub, Yuliya & Rieger, Jonas & Müller, Henrik & Jentsch, Carsten, 2022. "Text data rule - don't they? A study on the (additional) information of Handelsblatt data for nowcasting German GDP in comparison to established economic indicators," Ruhr Economic Papers 964, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Shesen Guo & Ganzhou Zhang, 2020. "Using Machine Learning for Analyzing Sentiment Orientations Toward Eight Countries," SAGE Open, , vol. 10(3), pages 21582440209, August.
    7. Katja Pietrzyck & Nora Berke & Vanessa Wendel & Julia Steinhoff-Wagner & Sebastian Jarzębowski & Brigitte Petersen, 2021. "Understanding the Importance of International Quality Standards Regarding Global Trade in Food and Agricultural Products: Analysis of the German Media," Agriculture, MDPI, vol. 11(4), pages 1-20, April.
    8. Alessandro Nai & Mike Medeiros & Michaela Maier & Jürgen Maier, 2022. "Euroscepticism and the use of negative, uncivil and emotional campaigns in the 2019 European Parliament election: A winning combination," European Union Politics, , vol. 23(1), pages 21-42, March.
    9. Ivar Kolstad & Arne Wiig, 2016. "How do voters respond to information on self-serving elite behaviour? Evidence from a randomized survey experiment in Tanzania," CMI Working Papers 9, CMI (Chr. Michelsen Institute), Bergen, Norway.
    10. Robert Hogenraad, 2019. "Fear in the West: a sentiment analysis using a computer-readable “Fear Index”," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1239-1261, May.
    11. Alessandro Nai & Ferran Martínez i Coma, 2019. "Losing in the Polls, Time Pressure, and the Decision to Go Negative in Referendum Campaigns," Politics and Governance, Cogitatio Press, vol. 7(2), pages 278-296.
    12. Katarina Böttcher & Kerstin Lopatta, 2020. "Gender-Sensitive Language in German Annual Reports," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 8(4), pages 1-1, March.
    13. Lingling Zhang & Doug J. Chung, 2020. "The Air War vs. the Ground Game: An Analysis of Multichannel Marketing in U.S. Presidential Elections," Marketing Science, INFORMS, vol. 39(5), pages 872-892, September.
    14. Ralf Dewenter & Uwe Dulleck & Tobias Thomas, 2020. "Does the 4th estate deliver? The Political Coverage Index and its application to media capture," Constitutional Political Economy, Springer, vol. 31(3), pages 292-328, September.
    15. Hirsch, Patrick & Köhler, Ekkehard A. & Feld, Lars P. & Thomas, Tobias, 2020. ""Whatever it takes!": How tonality of TV-news affects government bond yield spreads during crises," Freiburg Discussion Papers on Constitutional Economics 20/9, Walter Eucken Institut e.V..
    16. Hugo Oriola & Matthieu Picault, 2023. "Opportunistic Political Central Bank Coverage: Does media coverage of ECB's Monetary Policy Impacts German Political Parties' Popularity?," EconomiX Working Papers 2023-30, University of Paris Nanterre, EconomiX.
    17. Elif Günalan & Saadet Turhan & Betül Yıldırım Çavak & İrem Kaya Cebioğlu & Özge Çonak, 2022. "The Evaluation of Videos about Branched-Chain Amino Acids Supplements on YouTube ™ : A Multi-Approach Study," IJERPH, MDPI, vol. 19(24), pages 1-15, December.
    18. Franz Reiter & Jörg Matthes, 2022. "How Partisanship Matters: A Panel Study on the Democratic Outcomes of Perceived Dirty Campaigning," Politics and Governance, Cogitatio Press, vol. 10(4), pages 247-260.
    19. Robert Hogenraad, 2021. "The way of visionaries: foresight and imagination, computed," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1631-1660, October.
    20. Zobel, Malisa & Lehmann, Pola, 2018. "Positions and saliency of immigration in party manifestos: A novel dataset using crowd coding," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 57(4), pages 1056-1083.

    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:spr:jcsosc:v:5:y:2022:i:2:d:10.1007_s42001-022-00181-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.