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Journal article

From individual to group privacy in big data analytics

Abstract:

Mature information societies are characterised by mass production of data that provide insight into human behaviour. Analytics (as in big data analytics) has arisen as a practice to make sense of the data trails generated through interactions with networked devices, platforms and organisations. Persistent knowledge describing the behaviours and characteristics of people can be constructed over time, linking individuals into groups or classes of interest to the platform. Analytics allows for a...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s13347-017-0253-7

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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
Publisher:
Springer Netherlands Publisher's website
Journal:
Philosophy and Technology Journal website
Volume:
30
Issue:
4
Pages:
475–494
Publication date:
2017-02-11
Acceptance date:
2017-01-13
DOI:
EISSN:
2210-5441
ISSN:
2210-5433
Source identifiers:
680661
Keywords:
Pubs id:
pubs:680661
UUID:
uuid:c5b9bfff-c534-4c3a-b267-c1fec40964c2
Local pid:
pubs:680661
Deposit date:
2017-02-17

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