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Systematic review: YouTube recommendations and problematic content.

Muhsin Yesilada1, Stephan Lewandowsky1

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|December 5, 2022
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This summary is machine-generated.

This review found that the YouTube recommender system may lead users to problematic content, including extremist material. Further research is needed due to limited understanding of the platform's algorithms.

Keywords:
Content recommender systemsExtremismOnline radicalisationRecommendation algorithmsYouTube

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Area of Science:

  • Social Sciences
  • Media Studies
  • Computer Science

Background:

  • Concerns exist regarding social media platforms, especially YouTube, potentially fostering online radicalization and polarization.
  • The YouTube recommender system's role in directing users toward harmful content requires investigation.

Purpose of the Study:

  • To systematically review existing research on whether the YouTube recommender system facilitates pathways to problematic content, such as extremist or radicalizing material.

Main Methods:

  • A systematic review employing a narrative synthesis approach.
  • Screened 1,187 studies, with 23 studies included in the final analysis following PRISMA guidelines.

Main Results:

  • 14 studies suggested the YouTube recommender system facilitates problematic content pathways.
  • Seven studies yielded mixed results, and two found no implication of the recommender system.
  • Evidence indicates a potential for the YouTube recommender system to guide users toward problematic content.

Conclusions:

  • The YouTube recommender system may contribute to users accessing problematic content.
  • Limited access and understanding of YouTube's algorithms hinder accurate modeling of its mechanisms and content pathways.
  • Further research is essential to fully comprehend the recommender system's impact on problematic content exposure.