THE INFLUENCE OF MUSIC RECOMMENDATION ALGORITHMS ON ADOLESCENT SELF-IDENTITY IN THE DIGITAL STREAMING ERA

Authors

  • Nirwansyah Revan F SMAS Unggulan Al Azhar Medan ID
  • Ahmad Zion Alfattah SMAS Unggulan Al Azhar Medan ID
  • Faiq Abrisam S SMAS Unggulan Al Azhar Medan ID
  • Ahmad Fadhil Muzaki L SMAS Unggulan Al Azhar Medan ID
  • Nurjamiaty SMAS Unggulan Al Azhar Medan ID

DOI:

https://doi.org/10.59733/besti.v3i4.148

Keywords:

This section provides a comprehensive overview of the research purpose, methodology, and main findings.

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References

• Beer, D. (2013). Popular culture and new media: The politics of circulation. Palgrave Macmillan.

• Hesmondhalgh, D. (2019). The cultural industries (3rd ed.). SAGE Publications.

• Pariser, E. (2011). The filter bubble: How the new personalized web is changing what we read and how we think. Penguin Press.

• Prey, R. (2018). Nothing personal: Algorithmic individuation on music-streaming platforms. Media, Culture & Society, 40(7), 1086–1100. https://doi.org/10.1177/0163443717736118

• Seaver, N. (2019). Captivating algorithms: Recommender systems as traps. Journal of Material Culture, 24(4), 421–436. https://doi.org/10.1177/1359183518820366

• Valkenburg, P. M., & Piotrowski, J. T. (2017). Plugged in: How media attract and affect youth. Yale University Press.

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Published

2025-11-17

How to Cite

Nirwansyah Revan F, Ahmad Zion Alfattah, Faiq Abrisam S, Ahmad Fadhil Muzaki L, & Nurjamiaty. (2025). THE INFLUENCE OF MUSIC RECOMMENDATION ALGORITHMS ON ADOLESCENT SELF-IDENTITY IN THE DIGITAL STREAMING ERA. Bulletin of Engineering Science, Technology and Industry, 3(4), 568–570. https://doi.org/10.59733/besti.v3i4.148

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