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The bias beneath: analyzing drift in YouTube’s algorithmic recommendations

Research article (Social Network Analysis and Mining, 2024) · cited 14× · AI/ML
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The bias beneath: analyzing drift in YouTube’s algorithmic recommendations

Summary

The bias beneath: analyzing drift in YouTube’s algorithmic recommendations is a scholarly article[1].

Key Facts

  • The bias beneath: analyzing drift in YouTube’s algorithmic recommendations's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). The bias beneath: analyzing drift in YouTube’s algorithmic recommendations. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-bias-beneath-analyzing-drift-in-youtubes-algorithmic-recommendations
MLA “The bias beneath: analyzing drift in YouTube’s algorithmic recommendations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-bias-beneath-analyzing-drift-in-youtubes-algorithmic-recommendations.
BibTeX @misc{4ortxyz_the-bias-beneath-analyzing-drift-in-youtubes-algorithmic-recommendations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The bias beneath: analyzing drift in YouTube’s algorithmic recommendations}}, year = {2026}, url = {https://4ort.xyz/entity/the-bias-beneath-analyzing-drift-in-youtubes-algorithmic-recommendations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The bias beneath: analyzing drift in YouTube’s algorithmic recommendations — https://4ort.xyz/entity/the-bias-beneath-analyzing-drift-in-youtubes-algorithmic-recommendations (retrieved 2026-05-24)

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