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‘Do songs tell stories?’ An empirical analysis of the effect of emotional arcs on success in a national song contest

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  • Jürgen Rösch

    (Faculty Media, Bauhaus-Universität Weimar)

  • Maxi-Josephine Rauch

    (Faculty Media, Bauhaus-Universität Weimar)

Abstract

This article explores whether the lyrics of songs influence their success in a national song contest. We constructed emotional arcs from over 6.763 song lyrics and examined their impact on contest performance. Our findings reveal that these emotional arcs echo established behavioral phenomena such as the ‘paradox of negative emotion’ and the ‘peak-end rule’. Typically, songs characterized by sorrowful plots and endings receive higher scores than those with more joyful emotional themes. Furthermore, such songs are more likely to be awarded points initially. Despite this, contestants often choose songs with positive endings for their performances. To isolate the effects of lyrics from other song characteristics, we utilized Spotify metrics, including danceability, energy, and tempo. This methodology allows us to differentiate the influence of musical and lyrical elements on listener decision-making. This study contributes to the growing literature on the behavioral aspects of music and its impact on decision-making.

Suggested Citation

  • Jürgen Rösch & Maxi-Josephine Rauch, 2025. "‘Do songs tell stories?’ An empirical analysis of the effect of emotional arcs on success in a national song contest," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 49(3), pages 603-637, September.
  • Handle: RePEc:kap:jculte:v:49:y:2025:i:3:d:10.1007_s10824-025-09532-6
    DOI: 10.1007/s10824-025-09532-6
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    1. Robert J. Oxoby, 2009. "On The Efficiency Of Ac/Dc: Bon Scott Versus Brian Johnson," Economic Inquiry, Western Economic Association International, vol. 47(3), pages 598-602, July.
    2. Victor A. Ginsburgh & Jan C. van Ours, 2003. "Expert Opinion and Compensation: Evidence from a Musical Competition," American Economic Review, American Economic Association, vol. 93(1), pages 289-296, March.
    3. Marco Palomeque & Juan de-Lucio, 2024. "The Soundtrack of a Crisis: More Positive Music Preferences During Economic and Social Adversity," Journal of Happiness Studies, Springer, vol. 25(5), pages 1-24, June.
    4. Ginsburgh, Victor & Noury, Abdul G., 2008. "The Eurovision Song Contest. Is voting political or cultural?," European Journal of Political Economy, Elsevier, vol. 24(1), pages 41-52, March.
    5. Regner, Tobias & Barria, Javier A., 2009. "Do consumers pay voluntarily? The case of online music," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 395-406, August.
    6. Trine Bille, 2024. "The values of cultural goods and cultural capital externalities: state of the art and future research prospects," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 48(3), pages 347-365, September.
    7. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2023. "Measuring partisan media bias in US newscasts from 2001 to 2012," European Journal of Political Economy, Elsevier, vol. 78(C).
    8. Noémi Berlin & Anna Bernard & Guillaume Fürst, 2015. "Time spent on new songs: word-of-mouth and price effects on teenager consumption," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(2), pages 205-218, May.
    9. Sana El Harbi & Gilles Grolleau & Insaf Bekir, 2014. "Substituting piracy with a pay-what-you-want option: does it make sense?," European Journal of Law and Economics, Springer, vol. 37(2), pages 277-297, April.
    10. Dang, Tri Vi & Xu, Zhaoxia, 2018. "Market Sentiment and Innovation Activities," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1135-1161, June.
    11. Minsu Park & Jennifer Thom & Sarah Mennicken & Henriette Cramer & Michael Macy, 2019. "Global music streaming data reveal diurnal and seasonal patterns of affective preference," Nature Human Behaviour, Nature, vol. 3(3), pages 230-236, March.
    12. Liebowitz, Stan J, 2006. "File Sharing: Creative Destruction or Just Plain Destruction?," Journal of Law and Economics, University of Chicago Press, vol. 49(1), pages 1-28, April.
    13. Mariangela Sciandra & Irene Carola Spera, 2022. "A model-based approach to Spotify data analysis: a Beta GLMM," Journal of Applied Statistics, Taylor & Francis Journals, vol. 49(1), pages 214-229, January.
    14. Kai Fischer & Justus Haucap, 2021. "Does Crowd Support Drive the Home Advantage in Professional Football? Evidence from German Ghost Games during the COVID-19 Pandemic," Journal of Sports Economics, , vol. 22(8), pages 982-1008, December.
    15. Juan Lucio & Marco Palomeque, 2023. "Music preferences as an instrument of emotional self-regulation along the business cycle," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(2), pages 181-204, June.
    16. repec:osf:socarx:3j6wx_v1 is not listed on IDEAS
    17. Alexander V. Mantzaris & Samuel R. Rein & Alexander D. Hopkins, 2018. "Preference and neglect amongst countries in the Eurovision Song Contest," Journal of Computational Social Science, Springer, vol. 1(2), pages 377-390, September.
    18. Dewenter, Ralf & Linder, Melissa & Thomas, Tobias, 2019. "Can media drive the electorate? The impact of media coverage on voting intentions," European Journal of Political Economy, Elsevier, vol. 58(C), pages 245-261.
    19. Noémi Berlin & Anna Bernard & Guillaume Fürst, 2015. "Time spent on new songs: word-of-mouth and price effects on teenager consumption," Post-Print halshs-03157574, HAL.
    20. Oliver Budzinski & Julia Pannicke, 2017. "Culturally biased voting in the Eurovision Song Contest: Do national contests differ?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(4), pages 343-378, November.
    21. Karol Jan Borowiecki, 2017. "How Are You, My Dearest Mozart? Well-Being and Creativity of Three Famous Composers Based on Their Letters," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 591-605, July.
    22. Marco Del Vecchio & Alexander Kharlamov & Glenn Parry & Ganna Pogrebna, 2021. "Improving productivity in Hollywood with data science: Using emotional arcs of movies to drive product and service innovation in entertainment industries," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(5), pages 1110-1137, May.
    23. Saura, Jose Ramon & Palacios-Marqués, Daniel & Ribeiro-Soriano, Domingo, 2023. "Exploring the boundaries of open innovation: Evidence from social media mining," Technovation, Elsevier, vol. 119(C).
    24. Michael Berlemann & Tobias Thomas, 2019. "The distance bias in natural disaster reporting – empirical evidence for the United States," Applied Economics Letters, Taylor & Francis Journals, vol. 26(12), pages 1026-1032, July.
    25. Brand, Charlotte Olivia & Acerbi, Alberto & Mesoudi, Alex, 2019. "Cultural evolution of emotional expression in 50 years of song lyrics," SocArXiv 3j6wx, Center for Open Science.
    26. Victor Ginsburgh & Renato Flores Galvao, 1996. "The Queen Elisabeth Musical Competition: how fair is the final ranking," ULB Institutional Repository 2013/1713, ULB -- Universite Libre de Bruxelles.
    27. Peter Dodds & Christopher Danforth, 2010. "Measuring the Happiness of Large-Scale Written Expression: Songs, Blogs, and Presidents," Journal of Happiness Studies, Springer, vol. 11(4), pages 441-456, August.
    28. Meijun Liu & Xiao Hu & Markus Schedl, 2018. "The relation of culture, socio-economics, and friendship to music preferences: A large-scale, cross-country study," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-29, December.
    29. Budzinski, Oliver & Gänßle, Sophia & Weimar, Daniel, 2023. "Disentangling individual biases in jury voting: An empirical analysis of voting behavior in the Eurovision Song Contest," Ilmenau Economics Discussion Papers 171, Ilmenau University of Technology, Institute of Economics.
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