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APA

Bruns, A. (2019). Filter bubble. Internet Policy Review, 8(4). https://doi.org/10.14763/2019.4.1426

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Chicago

Bruns, Axel. 2019. "Filter bubble". Internet Policy Review 8 (4). DOI: 10.14763/2019.4.1426. https://policyreview.info/concepts/filter-bubble.

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Harvard

Bruns, Axel (2019). Filter bubble. Internet Policy Review,[online] 8(4). Available at: https://policyreview.info/concepts/filter-bubble [Accessed: 16 Aug. 2026].

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MLA

Bruns, Axel. "Filter bubble". Internet Policy Review 8.4 (2019). Web. 16 Aug. 2026.

Modern Language Association, 7th Ed. For more info, see https://owl.purdue.edu/owl/research_and_citation/mla_style/index.html

Vancouver

Bruns A. Filter bubble. Internet Policy Review [Internet]. 2019 [16 August 2026];8(4). Available from: https://policyreview.info/concepts/filter-bubble

Vancouver Style. For more info, see https://library.vcc.ca/media/vcc-library/content-assets/documents/VancouverStyleGuide.pdf

This paper examines how algorithmic personalisation shapes electoral perceptions through the filter bubble phenomenon, using a multidimensional measurement tool applied to Romanian Facebook users.

KEYWORDS: Algorithmic personalisation, Filter bubble, Electoral communication, Ideological polarisation, Confirmation bias

Recommendation algorithms potentially amplifying extremist content has become a policy concern in recent years. We conduct a novel empirical experiment on three platforms (YouTube, Reddit, and Gab) to test this phenomenon. We find that YouTube’s “Recommended for you” system does promote extreme content. We synthesise the findings into the policy debate and argue that co-regulation may provide some solutions.

KEYWORDS: Filter bubble, Online radicalisation, Algorithms, Extremism, Regulation

Stefania Milan and Claudio Agosti present the Algorithms Exposed (ALEX) project as well as the browser extension fbtrex.

Volume 5, Issue 1

Should we worry about filter bubbles?

Frederik J. Zuiderveen Borgesius, University of Amsterdam
Damian Trilling, University of Amsterdam
Judith Möller, University of Amsterdam
Balázs Bodó, University of Amsterdam
Claes de Vreese, University of Amsterdam
Natali Helberger, University of Amsterdam
PUBLISHED ON: 31 Mar 2016 DOI: 10.14763/2016.1.401

Personalised news websites can have serious implications for democracy, but little is known about the extent and effects of personalisation.

KEYWORDS: Filter bubble, Personalisation, Selective exposure

Internet Policy Review is an open access and peer-reviewed journal on internet regulation.

Scholars, regulators, journalists, activists, and other stakeholders publish in the journal in a variety of formats

Research articles: In-depth scholarly research papers and essays
Concepts: Critical reflections on emerging core concepts of the digital society
Editorials: Contextual or thematic introductions to special issues
Essays: Free-form yet in-depth contentions with issues of academic or social relevance
News: Journalistic reports on events of interest to the Internet Policy Review community
Opinions: Opinion pieces commenting on developments in the realm of internet policy
Open Abstract: Extended abstracts for works in progress that receive public peer review

Published by

Alexander von Humboldt Institute for Internet and Society Center for Advanced Internet Studies in cooperation with additional partners

Special issue on the topic of
Inclusive by design? Participatory governance and the future of digital public spaces

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