Journal article
Redefining filter bubbles as (escapable) socio-technical recursion
- Abstract:
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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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- Files:
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(Accepted manuscript, pdf, 540.6KB)
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- Publisher copy:
- 10.1177/1360780418763824
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Authors
Bibliographic Details
- 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:
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929702
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:929702
- UUID:
-
uuid:c78b6c16-0d9a-44f9-986a-ba4343fa384c
- Local pid:
- pubs:929702
- Deposit date:
- 2019-10-25
Terms of use
- Copyright holder:
- Davies, H
- Copyright date:
- 2018
- Notes:
- © The Author(s) 2018. This is the accepted manuscript version of the article. The final version is available online from SAGE Publications at: https://doi.org/10.1177/1360780418763824
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