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Recommender systems and the amplification of extremist content

Author

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  • Whittaker, Joe
  • Looney, Seán
  • Reed, Alastair
  • Votta, Fabio

Abstract

Policymakers have recently expressed concerns over the role of recommendation algorithms and their role in forming "filter bubbles". This is a particularly prescient concern in the context of extremist content online; these algorithms may promote extremist content at the expense of more moderate voices. In this article, we make two contributions to this debate. Firstly, we provide a novel empirical analysis of three platforms' recommendation systems when interacting with far-right content. We find that one platform-YouTube-does amplify extreme and fringe content, while two-Reddit and Gab-do not. Secondly, we contextualise these findings into the regulatory debate. There are currently few policy instruments for dealing with algorithmic amplification, and those that do exist largely focus on transparency. We argue that policymakers have yet to fully understand the problems inherent in "de-amplifying" legal, borderline content and argue that a co-regulatory approach may offer a route towards tackling many of these challenges.

Suggested Citation

  • Whittaker, Joe & Looney, Seán & Reed, Alastair & Votta, Fabio, 2021. "Recommender systems and the amplification of extremist content," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 10(2), pages 1-29.
  • Handle: RePEc:zbw:iprjir:235968
    DOI: 10.14763/2021.2.1565
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    References listed on IDEAS

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    1. Napoli, Philip M., 2015. "Social media and the public interest: Governance of news platforms in the realm of individual and algorithmic gatekeepers," Telecommunications Policy, Elsevier, vol. 39(9), pages 751-760.
    2. Copland, Simon, 2020. "Reddit quarantined: Can changing platform affordances reduce hateful material online?," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 9(4), pages 1-26.
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    Cited by:

    1. Griffin, Rachel, 2022. "New school speech regulation as a regulatory strategy against hate speech on social media: The case of Germany's NetzDG," Telecommunications Policy, Elsevier, vol. 46(9).
    2. Padden, Michaela, 2023. "The transformation of surveillance in the digitalisation discourse of the OECD: A brief genealogy," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 12(3), pages 1-39.

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