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Recommender systems and the amplification of extremist content
16 references·2 citing·48 second hop
Recommender systems and the amplification of extremist content (2021)Recommender systems and the amplification…Right-Wing YouTube: A Supply and Demand Perspective (2020)Right-Wing YouTube: A Supply …Captivating algorithms: Recommender systems as traps (2018)Captivating algorithms: Recom…A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI (2018)A Right to Reasonable Inferen…Governing online platforms: From contested to cooperative responsibility (2017)Governing online platforms: F…The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms (2016)The algorithmic imaginary: ex…Should we worry about filter bubbles? (2016)Should we worry about filter …From Editors to Algorithms (2016)From Editors to AlgorithmsSocial media and the public interest: Governance of news platforms in the realm of individual and algorithmic gatekeepers (2015)Social media and the public i…Exposure to ideologically diverse news and opinion on Facebook (2015)Exposure to ideologically div…Automated Media: An Institutional Theory Perspective on Algorithmic Media Production and Consumption (2014)Automated Media: An Instituti…Radicalisation, De-Radicalisation, Counter-Radicalisation: A Conceptual Discussion and Literature Review (2013)Radicalisation, De-Radicalisa…Bias in algorithmic filtering and personalization (2013)Bias in algorithmic filtering…The Filter Bubble: What the Internet Is Hiding from You (2011)The Filter Bubble: What the I…The Law of Group Polarization (2002)The Law of Group PolarizationIndustry Self‐Regulation: An Institutional Perspective (1997)Industry Self‐Regulation: An …Responsive Regulation (1992)Responsive RegulationManifestations of xenophobia in AI systems (2024)Manifestations of xenophobia …Far-right social media communication in the light of technology affordances: a systematic literature review (2023)Far-right social media commun…Red Media, Blue Media: Evidence of Ideological Selectivity in Media Use (2009)Tweeting From Left to Right (2015)Filter Bubbles, Echo Chambers, and Online News Consumption (2016)Exposure to opposing views on social media can increase political polarization (2018)The Origins and Consequences of Affective Polarization in the United States (2018)The Logic of Collective Action. 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References

  • 2011The Filter Bubble: What the Internet Is Hiding from You4,429 cited
  • 2015Exposure to ideologically diverse news and opinion on Facebook3,237 cited
  • 1992Responsive Regulation2,482 cited
  • 2002The Law of Group Polarization1,367 cited
  • 2016The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms1,344 cited
  • 2013Radicalisation, De-Radicalisation, Counter-Radicalisation: A Conceptual Discussion and Literature Review650 cited
  • 2013Bias in algorithmic filtering and personalization648 cited
  • 1997Industry Self‐Regulation: An Institutional Perspective572 cited
  • 2016Should we worry about filter bubbles?541 cited
  • 2018Captivating algorithms: Recommender systems as traps498 cited
  • 2018A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI463 cited
  • 2014Automated Media: An Institutional Theory Perspective on Algorithmic Media Production and Consumption404 cited
  • 2017Governing online platforms: From contested to cooperative responsibility376 cited
  • 2016From Editors to Algorithms285 cited
  • 2020Right-Wing YouTube: A Supply and Demand Perspective265 cited

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  • 2015Social media and the public interest: Governance of news platforms in the realm of individual and algorithmic gatekeepers239 cited
  • Cited by

    • 2023Far-right social media communication in the light of technology affordances: a systematic literature review54 cited
    • 2024Manifestations of xenophobia in AI systems15 cited