Cited by 2Music History and CultureCopyright and Intellectual PropertyMusic Technology and Sound Studies

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index; 1 of the 27 sources its claims cite were checked for support.

Homogenization of Pop Music: How Social Media’s Algorithms Prevents Creativity and Innovation

Open access
Wang, Emily·2024·Scholarly Review Journal

Abstract

This paper examines the impact of social media on the homogenization of pop music, arguing that platforms like Spotify, YouTube, and TikTok contribute to narrowing creative possibilities within the genre. By analyzing the role of algorithms, audience behavior, and industry practices, the study highlights how social media’s emphasis on viral content and mass appeal stifles artistic diversity and innovation. Algorithms prioritize music with broad, mainstream appeal, creating a feedback loop that reinforces popular trends while marginalizing experimental or niche genres. Audience engagement further drives this homogenization, as artists increasingly tailor their work to fit algorithmic preferences and audience expectations. Industry practices, particularly the focus on producing “TikTok-friendly” hits, exacerbate this trend by favoring formulaic production over creative risk-taking. The research underscores the implications of these dynamics for global music culture, where the pressure to conform to a globalized pop standard threatens to erode local musical traditions. The paper concludes by advocating for strategies to preserve artistic diversity, including alternative distribution models, support for independent artists, and developing algorithms that promote a broader range of musical expressions.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This paper argues that social media algorithms, audience behavior, and industry practices contribute to the homogenization of pop music by prioritizing viral potential and mass appeal over artistic diversity and innovation. It also notes countervailing cases where platforms enable independent or unexpected artists to reach audiences.

Key findings

  • Algorithms on platforms such as Spotify, YouTube, and TikTok are described as favoring mainstream, high-engagement content, reinforcing popular music’s dominance and marginalizing niche or experimental music.
  • Audience behavior is said to reinforce algorithmic preferences through engagement metrics like likes, shares, comments, and watch time, though some listeners seek experimental or niche genres.
  • Industry practices increasingly emphasize formulaic, short, catchy “TikTok hits” designed for viral success, which the paper links to risk-averse production and reduced creative experimentation.
  • The paper acknowledges counterexamples: TikTok helped Lil Nas X’s “Old Town Road” gain popularity, Billie Eilish leveraged social media for a non-mainstream fanbase, and independent artists can use YouTube and SoundCloud to bypass traditional gatekeepers. No numerical results are reported.

Methods

  • Mixed-methods approach combining qualitative content analysis and case studies, examining three areas: algorithms, audience behavior, and industry practices.
  • Algorithm analysis used publicly available engagement metrics—likes, shares, comments, and watch time—from major platforms including Spotify, YouTube, and TikTok, comparing mainstream versus independent or genre-diverse musicians.
  • Audience behavior was studied through surveys and interviews with music consumers and artists; industry practices were examined through three case studies: a major record label, an independent label, and a well-known artist who gained popularity through TikTok.

Limitations

  • The paper states that existing literature lacks exploration of how artists navigate or subvert algorithmic constraints, global implications for non-Western music cultures, and strategies to mitigate homogenization; it calls for future research on algorithmic diversity, local traditions, and audience education.
  • Evident from the text: the study reports no sample sizes, no quantitative findings, and no named case-study organizations or artists beyond illustrative examples such as Lil Nas X and Billie Eilish.
  • Evident from the text: the “Abstract” section functions as an author biography rather than a study abstract, and the methodology does not specify survey/interview participant numbers or detailed analytic procedures.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.70121/001c.124652

Cites

0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

22 Sources not found · 13 Own interpretation · 2 No basis given · 1 Partly supported · 1 Own result · accuracy not yet measured

Show all 23 claims

  • Probably not a substantial claim. 6
  • It may state two separate claims as one. 11
16 of 16
  • The paper relies on this without support.

    Non-Western music cultures face particular challenges in adapting to digital environments, where the globalized nature of pop music can overshadow local traditions.

    “Non-Western music cultures face particular challenges in adapting to these digital environments, where the globalized nature of pop music can overshadow local traditions.”
  • The paper relies on this without support.

    Algorithms are designed to optimize user retention and satisfaction, often based on past consumption patterns, which favor popular, easily accessible content.

    “Algorithms are designed to optimize user retention and satisfaction, often based on past consumption patterns, which favor popular, easily accessible content.”
2 of 2

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

1 of 1

Citations

Cites

The publisher hasn’t deposited this paper’s reference list.

Research works printed but not linked: 1

  1. Bonini, T., & Sellas, T. (2019). Spotify as a tool for music discovery: The role of algorithms in music recommendation. International Journal of Communication, 13, 2360-2378.

Metadata

Authors
Wang, E.
Corresponding author
Wang, Emily
Venue
Scholarly Review Journal
Published
2024-10-20
Volume
SR Online: Showcase
Issue
Equinox 2024
ISSN
2996-8380 (ISSN-L)
OpenAlex
W4403326785
Cited by
2
References
0
Citations by year
2026: 1 · 2025: 1
FWCI
10.55
Type
journal article
Language
en
Open access
Locations
Scholarly review . (publishedVersion, cc-by)
Topics
  • Social Sciences › Arts and Humanities › Music › Music History and Culture
  • Social Sciences › Business, Management and Accounting › Marketing › Copyright and Intellectual Property
  • Social Sciences › Arts and Humanities › Music › Music Technology and Sound Studies
Keywords
pop music, homogenization, social media algorithms, algorithmic curation, TikTok, Spotify, YouTube, viral content, artistic diversity, audience engagement, globalization of music, independent artists, music distribution

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CoChat. (2026). Citation check: Homogenization of Pop Music: How Social Media’s Algorithms Prevents Creativity and Innovation. https://app.cochat.ai/papers/10.70121/001c.124652
The paper
Wang, E. (2024). Homogenization of Pop Music: How Social Media’s Algorithms Prevents Creativity and Innovation. Scholarly Review Journal. https://doi.org/10.70121/001c.124652