Skip to main content

On the Popularity of Classical Music Composers on Community-Driven Platforms

  • Conference paper
  • First Online:
Web Engineering (ICWE 2023)

Abstract

Traditionally, the popularity of classical music composers is approximated through commercial figures like album releases, record sales, or live performances. However, commercial factors only provide one piece of the overall picture. The success of community-driven platforms has profoundly changed how people consume and interact with music, and, consequently, our understanding of what popularity is. People discuss their favourite artists, archive knowledge regarding them and share their work through multimedia platforms. In this paper, we investigate how data from these platforms can provide a more comprehensive view on popularity and engagement regarding the long-tail of classical music composers. We combine album release data provided by MusicBrainz, the commitment of people in maintaining the composers’ Wikipedia pages and user engagement in classical music videos on YouTube. Our analysis provides a complementary multi-faceted view on community engagement and urges future research to expand on user-generated content for a more diverse expression of popularity in the music domain.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    https://musicbrainz.org/.

  2. 2.

    https://en.wikipedia.org/wiki/Wikipedia.

  3. 3.

    https://www.youtube.com/.

  4. 4.

    https://github.com/ipsamiotis/classical_popularity.

  5. 5.

    https://wiki.dbpedia.org/.

  6. 6.

    https://dbpedia.org/sparql.

  7. 7.

    https://www.mediawiki.org/wiki/API:Main_page.

  8. 8.

    https://python-musicbrainzngs.readthedocs.io/en/v0.7.1/.

  9. 9.

    https://pypi.org/project/youtube_dl/.

References

  1. MacDonald, G.M.: The economics of rising stars. Am. Econ. Rev. 155–166 (1988)

    Google Scholar 

  2. Adler, M.: Stardom and talent. Am. Econ. Rev. 75(1), 208–212 (1985)

    MathSciNet  Google Scholar 

  3. Stigler, G.J., Becker, G.S.: De gustibus non est disputandum. Am. Econ. Rev. 67(2), 76–90 (1977)

    Google Scholar 

  4. Mestyán, M., Yasseri, T., Kertész, J.: Early prediction of movie box office success based on Wikipedia activity big data. PloS One 8(8) (2013)

    Google Scholar 

  5. Wei, P., Wang, N.: Wikipedia and stock return: Wikipedia usage pattern helps to predict the individual stock movement. In: Proceedings of the 25th International Conference Companion on World Wide Web, pp. 591–594 (2016)

    Google Scholar 

  6. Wattenhofer, M., Wattenhofer, R., Zhu, Z.: The Youtube social network. In: Sixth International AAAI Conference on Weblogs and Social Media (2012)

    Google Scholar 

  7. Siersdorfer, S., Chelaru, S., Pedro, J.S., Altingovde, I.S., Nejdl, W.: Analyzing and mining comments and comment ratings on the social web. ACM Trans. Web (TWEB) 8(3), 17 (2014)

    Google Scholar 

  8. Paolillo, J., Ghule, S., Harper, B.: A network view of social media platform history: social structure, dynamics and content on Youtube. In: Proceedings of the 52nd Hawaii International Conference on System Sciences (2019)

    Google Scholar 

  9. Siersdorfer, S., Chelaru, S., Nejdl, W., Pedro, J.S.: How useful are your comments?: analyzing and predicting Youtube comments and comment ratings. In: Proceedings of the 19th International Conference on World Wide Web, pp. 891–900. ACM (2010)

    Google Scholar 

  10. Orellana-Rodriguez, C., Diaz-Aviles, E., Nejdl, W.: Mining emotions in short films: user comments or crowdsourcing? In: Proceedings of the 22nd International Conference on World Wide Web, pp. 69–70. ACM (2013)

    Google Scholar 

  11. Severyn, A., Moschitti, A., Uryupina, O., Plank, B., Filippova, K.: Multi-lingual opinion mining on Youtube. Inf. Process. Manag. 52(1), 46–60 (2016)

    Article  Google Scholar 

  12. Severyn, A., Uryupina, O., Plank, B., Moschitti, A., Filippova, K.: Opinion mining on Youtube (2014)

    Google Scholar 

  13. Chatzopoulou, G., Sheng, C., Faloutsos, M.: A first step towards understanding popularity in Youtube. In: 2010 INFOCOM IEEE Conference on Computer Communications Workshops, pp. 1–6. IEEE (2010)

    Google Scholar 

  14. Budzinski, O., Gaenssle, S.: The economics of social media stars: an empirical investigation of stardom, popularity, and success on Youtube. Ilmenau Econ. Discussion Pap. 21(112) (2018)

    Google Scholar 

  15. Adler, M.: Stardom and talent. Handb. Econ. Art Cult. 1, 895–906 (2006)

    Article  Google Scholar 

  16. Cayari, C.: The Youtube effect: how Youtube has provided new ways to consume, create, and share music. Int. J. Educ. Arts 12(6), n6 (2011)

    Google Scholar 

  17. Bellogín, A., de Vries, A.P., He, J.: Artist popularity: do web and social music services agree? In: Seventh International AAAI Conference on Weblogs and Social Media (2013)

    Google Scholar 

  18. Schedl, M., Tkalčič, M.: Genre-based analysis of social media data on music listening behavior: are fans of classical music really averse to social media? In: Proceedings of the First International Workshop on Internet-Scale Multimedia Management, pp. 9–13 (2014)

    Google Scholar 

  19. Myers, L., Sirois, M.J.: Spearman correlation coefficients, differences between. Encyclopedia Stat. Sci. 12 (2004)

    Google Scholar 

  20. Jaccard, P.: The distribution of the flora in the alpine zone. 1. New Phytol. 11(2), 37–50 (1912)

    Article  Google Scholar 

Download references

Acknowledgements

This work is partially supported by the European Commission under the TROMPA project (H2020 770376). We thank Cynthia C.S. Liem for her insights on popularity in music and contributions in discussions around the topic.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrea Mauri .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Samiotis, I.P., Mauri, A., Lofi, C., Bozzon, A. (2023). On the Popularity of Classical Music Composers on Community-Driven Platforms. In: Garrigós, I., Murillo Rodríguez, J.M., Wimmer, M. (eds) Web Engineering. ICWE 2023. Lecture Notes in Computer Science, vol 13893. Springer, Cham. https://doi.org/10.1007/978-3-031-34444-2_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-34444-2_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34443-5

  • Online ISBN: 978-3-031-34444-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics