IDEAS home Printed from https://ideas.repec.org/a/spr/jcsosc/v5y2022i2d10.1007_s42001-022-00182-8.html
   My bibliography  Save this article

Using word embedding models to capture changing media discourses: a study on the role of legitimacy, gender and genre in 24,000 music reviews, 1999–2021

Author

Listed:
  • Stijn Daenekindt

    (Ghent University)

  • Julian Schaap

    (Erasmus University Rotterdam)

Abstract

Studies suggest that popular music genres are increasingly discussed by cultural intermediaries in ‘legitimate’ or ‘highbrow’ terms, rather than merely ‘lowbrow’ commercial entertainment. In addition, popular music discourse as produced by such intermediaries has historically been decidedly masculine—a trait which tends to increase on par with legitimation. However, seeing that women are gradually gaining symbolic and numerical representation in popular music production, this may have been changing over the last decade(s). In this article, we assess how popular music discourse within a key music media outlet (Pitchfork) changed between 1999 and 2021. We use word embedding models—a novel technique in computational social science—to assess legitimacy and gender in the discourses used in 23,992 reviews, and how this varies between genres. We find four notable patterns. First, reviews increasingly use a discourse that legitimates popular music, while, second, also increasingly using more feminine terms. This does not, third, occur simultaneously; however, discourse is either legitimate or feminine. Finally, these patterns also differ based on which popular music genres are discussed. The overall pattern is consistently found in pop, electronic and experimental, but not in historically masculine genres rap/hip-hop, metal and jazz which seem rather resistant to discursive change.

Suggested Citation

  • Stijn Daenekindt & Julian Schaap, 2022. "Using word embedding models to capture changing media discourses: a study on the role of legitimacy, gender and genre in 24,000 music reviews, 1999–2021," Journal of Computational Social Science, Springer, vol. 5(2), pages 1615-1636, November.
  • Handle: RePEc:spr:jcsosc:v:5:y:2022:i:2:d:10.1007_s42001-022-00182-8
    DOI: 10.1007/s42001-022-00182-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42001-022-00182-8
    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/s42001-022-00182-8?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. 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.
    2. Dustin S. Stoltz & Marshall A. Taylor, 2019. "Concept Mover’s Distance: measuring concept engagement via word embeddings in texts," Journal of Computational Social Science, Springer, vol. 2(2), pages 293-313, July.
    3. Taylor, Marshall A. & Stoltz, Dustin S., 2020. "Integrating Semantic Directions with Concept Mover's Distance to Measure Binary Concept Engagement," SocArXiv 36r2d, Center for Open Science.
    4. repec:dau:papers:123456789/1425 is not listed on IDEAS
    5. Laura K. Nelson, 2020. "Computational Grounded Theory: A Methodological Framework," Sociological Methods & Research, , vol. 49(1), pages 3-42, February.
    6. Stéphane Debenedetti, 2006. "The roles of media critics in the cultural industries," Post-Print halshs-00169482, HAL.
    7. Styhre, Alexander & Szczepanska, Anna Maria & Remneland-Wikhamn, Björn, 2018. "Consecrating video games as cultural artifacts: Intellectual legitimation as a source of industry renewal," Scandinavian Journal of Management, Elsevier, vol. 34(1), pages 22-28.
    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. Alex Luscombe & Kevin Dick & Kevin Walby, 2022. "Algorithmic thinking in the public interest: navigating technical, legal, and ethical hurdles to web scraping in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1023-1044, June.
    2. AJ Alvero & Jasmine Pal & Katelyn M. Moussavian, 2022. "Linguistic, cultural, and narrative capital: computational and human readings of transfer admissions essays," Journal of Computational Social Science, Springer, vol. 5(2), pages 1709-1734, November.
    3. Taylor, Marshall A. & Stoltz, Dustin S., 2020. "Integrating Semantic Directions with Concept Mover's Distance to Measure Binary Concept Engagement," SocArXiv 36r2d, Center for Open Science.
    4. Batabyal, Amitrajeet & Nijkamp, Peter, 2022. "Introduction to The Creative Class Revisited: New Analytical Advances," MPRA Paper 114163, University Library of Munich, Germany, revised 10 Aug 2022.
    5. Özgür Özvatan & Bastian Neuhauser & Gökçe Yurdakul, 2023. "The ‘Arab Clans’ Discourse: Narrating Racialization, Kinship, and Crime in the German Media," Social Sciences, MDPI, vol. 12(2), pages 1-18, February.
    6. María-Angeles Rastrollo-Horrillo, 2020. "Strategic Decisions to Enhance the Internationalization of the Performing Arts and Their Sustainability: The Case of Flamenco," Sustainability, MDPI, vol. 12(9), pages 1-16, May.
    7. Mangiò, Federico & Mismetti, Marco & Lissana, Elena & Andreini, Daniela, 2023. "That's the Press, Baby! How journalists co-create family business brands meanings: A mixed method analysis," Journal of Business Research, Elsevier, vol. 161(C).
    8. van Loon, Austin, 2022. "Three Families of Automated Text Analysis," SocArXiv htnej, Center for Open Science.
    9. Gloria Gennaro & Elliott Ash, 2022. "Emotion and Reason in Political Language," The Economic Journal, Royal Economic Society, vol. 132(643), pages 1037-1059.
    10. Marozzi, Armando, 2021. "The ECB's tracker: nowcasting the press conferences of the ECB," Working Paper Series 2609, European Central Bank.
    11. Fontan, Clément & Goutsmedt, Aurélien, 2023. "The ECB and the inflation monsters: strategic framing and the responsibility imperative (1998-2023)," SocArXiv 92r54, Center for Open Science.
    12. Jana Lasser & Segun T. Aroyehun & Fabio Carrella & Almog Simchon & David Garcia & Stephan Lewandowsky, 2023. "From alternative conceptions of honesty to alternative facts in communications by US politicians," Nature Human Behaviour, Nature, vol. 7(12), pages 2140-2151, December.
    13. Andrea Voyer & Zachary D. Kline & Madison Danton & Tatiana Volkova, 2022. "From Strange to Normal: Computational Approaches to Examining Immigrant Incorporation Through Shifts in the Mainstream," Sociological Methods & Research, , vol. 51(4), pages 1540-1579, November.
    14. Wang, Xincheng & Li, Yuan & Tian, Longwei & Hou, Ye, 2023. "Government digital initiatives and firm digital innovation: Evidence from China," Technovation, Elsevier, vol. 119(C).
    15. Marshall A. Taylor & Dustin S. Stoltz, 2021. "Integrating semantic directions with concept mover’s distance to measure binary concept engagement," Journal of Computational Social Science, Springer, vol. 4(1), pages 231-242, May.
    16. Usman Sattar, 2022. "A Conceptual Framework of Climate Action Needs of the Least Developed Party Countries of the Paris Agreement," IJERPH, MDPI, vol. 19(16), pages 1-13, August.
    17. Miguel Won & Jorge M. Fernandes, 2022. "Analyzing Twitter networks using graph embeddings: an application to the British case," Journal of Computational Social Science, Springer, vol. 5(1), pages 253-263, May.
    18. Nathaniel Poor, 2020. "Open-Source’s Inspirations for Computational Social Science: Lessons from a Failed Analysis," Media and Communication, Cogitatio Press, vol. 8(3), pages 231-238.
    19. Jun Pang & Angela Xia Liu & Peter N. Golder, 2022. "Critics’ conformity to consumers in movie evaluation," Journal of the Academy of Marketing Science, Springer, vol. 50(4), pages 864-887, July.
    20. Juan Pablo Pardo-Guerra & Prithviraj Pahwa, 2022. "The Extended Computational Case Method: A Framework for Research Design," Sociological Methods & Research, , vol. 51(4), pages 1826-1867, November.

    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_s42001-022-00182-8. 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.