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Journal article

Redefining filter bubbles as (escapable) socio-technical recursion

Abstract:

Personalisation of media content is not a new phenomenon. Now, however, by configuring our search results and data feeds, algorithms that ‘learn’ from our digital footprint are determining what we see and hear. Pariser calls this the ‘Filter Bubble Effect’. Yet, despite concerns that this effect is a threat to deliberative democracy, we are told there is relatively little evidence to substantiate its existence. This article draws on a case study to argue that this is because the existing rese...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1177/1360780418763824

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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
Publisher:
SAGE Publications Publisher's website
Journal:
Sociological Research Online Journal website
Volume:
23
Issue:
3
Pages:
637-654
Publication date:
2018-03-16
Acceptance date:
2018-02-08
DOI:
EISSN:
1360-7804
Source identifiers:
929702
Language:
English
Keywords:
Pubs id:
pubs:929702
UUID:
uuid:c78b6c16-0d9a-44f9-986a-ba4343fa384c
Local pid:
pubs:929702
Deposit date:
2019-10-25

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