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A critical review of filter bubbles and a comparison with selective exposure

Dahlgren, Peter, 1983 (author)
Gothenburg University,Göteborgs universitet,Institutionen för journalistik, medier och kommunikation (JMG),Department of Journalism, Media and Communication (JMG)
 (creator_code:org_t)
2021-01-29
2021
English.
In: Nordicom Review. - : Walter de Gruyter GmbH. - 1403-1108 .- 2001-5119. ; 42:1, s. 15-33
  • Research review (peer-reviewed)
Abstract Subject headings
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  • The new high-choice media environment has raised concerns that users of social networking sites primarily select political information that supports their political opinions and avoid information that challenges them. This behaviour is reinforced by personalisation algorithms that create filter bubbles and both narrow the available content and exclude challenging information over time. These concerns have, however, been contested. This article challenges the underlying theoretical assumptions about filter bubbles, and compares filter bubbles to what we already know about selective exposure and human psychology. The article lists nine counterarguments to the filter bubble thesis. In short, I argue that the assumptions of filter bubbles contradict many of the previous findings of selective exposure research. More specifically, when discussing filter bubbles there is a risk of confusing two arguments: one strong - but also trivial - that is about technology (e.g., personalisation leads to different information), and one weak and speculative - but also the most interesting - that is about society (e.g., personalisation increases political polarisation in society).

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Annan teknik -- Mediateknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Other Engineering and Technologies -- Media Engineering (hsv//eng)
SAMHÄLLSVETENSKAP  -- Medie- och kommunikationsvetenskap (hsv//swe)
SOCIAL SCIENCES  -- Media and Communications (hsv//eng)
SAMHÄLLSVETENSKAP  -- Psykologi -- Tillämpad psykologi (hsv//swe)
SOCIAL SCIENCES  -- Psychology -- Applied Psychology (hsv//eng)

Keyword

Audience fragmentation
Confirmation bias
Echo chambers
Personalisation algorithms
Selective exposure

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