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Conference item

Editorial responsibilities arising from personalization algorithms

Abstract:

Social media platforms routinely apply personalization algorithms to ensure the content presented to the user is relevant and engaging. These algorithms are designed to prioritize and make some pieces of information more visible than others. However, there is typically no transparency in the criteria used for ranking the information, and more importantly, the consequences that the resulting content could have on users. Social media platforms argue that because they do not alter content, just ...

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Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Name:
Engineering and Physical Sciences Research Council
Grant:
EP/N02785X/1
Host title:
CEPE/ETHICOMP 2017
Journal:
CEPE/ETHICOMP 2017 More from this journal
Publication date:
2017-01-01
Acceptance date:
2017-02-01
Event location:
Turin, Italy
Event start date:
2017-06-05
Event end date:
2017-06-08
Keywords:
Pubs id:
pubs:676001
UUID:
uuid:63680fee-27ec-4e11-a2e5-95c08b79168c
Local pid:
pubs:676001
Source identifiers:
676001
Deposit date:
2017-02-06

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