Redefining filter bubbles as (escapable) socio-technical recursion - ORA (original) (raw)
Journal article
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...
Publication status:
Published
Peer review status:
Peer reviewed
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Authors
+ Davies, H [More by this author](/objects/?f[f%5Fcontributors%5F%5Fname][]=Davies, H)
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
Bibliographic Details
Item Description
Language:
English
Keywords:
Pubs id:
UUID:
uuid:c78b6c16-0d9a-44f9-986a-ba4343fa384c
Local pid:
pubs:929702
Source identifiers:
Deposit date:
2019-10-25
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