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arXiv:1912.11211cs.SI

Algorithmic Extremism: Examining YouTube's Rabbit Hole of Radicalization

Mark Ledwich, Anna Zaitsev

Abstract

The role that YouTube and its behind-the-scenes recommendation algorithm plays in encouraging online radicalization has been suggested by both journalists and academics alike. This study directly quantifies these claims by examining the role that YouTube's algorithm plays in suggesting radicalized content. After categorizing nearly 800 political channels, we were able to differentiate between political schemas in order to analyze the algorithm traffic flows out and between each group. After conducting a detailed analysis of recommendations received by each channel type, we refute the popular radicalization claims. To the contrary, these data suggest that YouTube's recommendation algorithm actively discourages viewers from visiting radicalizing or extremist content. Instead, the algorithm is shown to favor mainstream media and cable news content over independent YouTube channels with slant towards left-leaning or politically neutral channels. Our study thus suggests that YouTube's recommendation algorithm fails to promote inflammatory or radicalized content, as previously claimed by several outlets.

arXiv comments
Journal reference
DOI
Subjects
cs.SISocial and Information Networks cs.IRInformation Retrieval

On Hacker News

Linked by 8 identifiable commenters in 9 comments across 8 threads, from Dec 2019 to Aug 2021. Found in 3 HN submissions from Dec 2019 to Dec 2019. Open submission discussions.

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Discussed in comments8 threads

    • I'd appreciate any links you have to this evidence. I also found this: > After conducting a detailed analysis of recommendations received by each channel type, we refute the popular radicalization claims. To the contrary, these data suggest that YouTube’s recommendation…

      ctothView on HNParent context

    • Not sure why this is downvoted. The YouTube radicalization pathway is fairly well documented, e.g. [1][2][3]. Even if we can't all agree on the specific mechanism of action, the phenomenon certainly exists. [1] https://arxiv.org/abs/1912.11211 [2]…

      jakelazaroffView on HNParent context

    • I know a few journalists really want to push this narrative, but I think the more it's been carefully studied, the more it's been debunked. E.g: https://arxiv.org/pdf/1912.11211.pdf "After conducting a detailed analysis of recommendations received by each channel type, we refute…

      stolenmerchView on HNParent context

    • Some of this blandness may be by design, at least when it comes to political content. YouTube caught a lot of flak in 2018 for allegedly being a "radicalization pipeline", but research[0] shows that their "next video" recommendations consistently direct users away from fringe…

      pseudo0View on HNParent context

  1. The TikTok War 1 comment
    • Doing what you suggest has an immense issue of selection bias. You go into youtube trying to see if it recommends right wing videos, and you're going to be a lot more likely to click on right wing videos. Which then informs the algorithm that you're interested in right wing…

      manfredoView on HNParent context

    • My money is on it has the opposite effect, and by banning these people it moves their fans onto fringe platforms that will shuttle them towards even more bizarre/fringe/extreme views. Here's a study that shows it pushes people towards more moderate videos.…

      JamesBarneyView on HNParent context

    • Can you link to Tufekci's research? I can only find the NYTimes op-ed. Furthermore it's worth nothing that other studies determined the opposite, YouTube disproportionately recommends left leaning content: https://arxiv.org/pdf/1912.11211.pdf

      manfredoView on HNParent context

    • > I didn't have to look very far; Facebook did the study itself, internally, and executives directly chose to ignore it: https://www.theverge.com/2020/5/26/21270659/facebook-divisio.... While this is indeed a compelling data point, I want to point out 2 things: 1. We have no way…

      bhupyView on HNParent context

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