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Should we worry about filter bubbles?

Bibliographic Data

ID23364438
AuthorsFrederik Zuiderveen Borgesius (0000-0001-5803-827X, Information Visualization and Innovative Research), Frederik J Zuiderveen Borgesius, Damian Trilling (0000-0002-2586-0352, University of Amsterdam), Judith Möller (University of Amsterdam), Béla Bodó (0000-0001-5623-5448, University of Amsterdam), Balazs Bodo, Claes H De Vreese (0000-0002-4962-1698, University of Amsterdam), Natali Helberger (0000-0003-1652-0580, University of Amsterdam)
Year2016
Volume5
Issue1
Publication date2016-03-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternet Policy Review (JOURNAL)
Journal identifiersISSN: 2197-6775 • E-ISSN: 2197-6775
PublisherInternet Policy Review, Alexander von Humboldt Institute for Internet and Society (PUBLISHER)
DOI10.14763/2016.1.401
OpenAlexW2340526123
LanguageEN
Citations received145
References cited23

Some fear that personalised communication can lead to information cocoons or filter bubbles. For instance, a personalised news website could give more prominence to conservative or liberal media items, based on the (assumed) political interests of the user. As a result, users may encounter only a limited range of political ideas. We synthesise empirical research on the extent and effects of self-selected personalisation, where people actively choose which content they receive, and pre-selected personalisation, where algorithms personalise content for users without any deliberate user choice. We conclude that at present there is little empirical evidence that warrants any worries about filter bubbles.

Advertising · Business · Content (measure theory) · Empirical evidence · Empirical research · Epistemology · Filter (signal processing) · Internet privacy · Personalization · Political science · Politics · Public relations · World Wide Web · Worry · Computer Science · Digital Games and Media · Law · Mathematics · Media Studies and Communication · Psychology · Social Media and Politics · Social Psychology

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Unique citing works145
Citations per year16,11
Citation span2017 - 2026 (10)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 137

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