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Can electoral popularity be predicted using socially generated big data?

Abstract:

Today, our more-than-ever digital lives leave significant footprints in cyberspace. Large scale collections of these socially generated footprints, often known as big data, could help us to re-investigate different aspects of our social collective behaviour in a quantitative framework. In this contribution we discuss one such possibility: the monitoring and predicting of popularity dynamics of candidates and parties through the analysis of socially generated data on the web during electoral c...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1515/itit-2014-1046

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More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
Publisher:
Oldenbourg Verlag Publisher's website
Journal:
it - Information Technology Journal website
Volume:
56
Issue:
5
Publication date:
2014-09-30
Acceptance date:
2014-09-09
DOI:
Source identifiers:
607167
Keywords:
Pubs id:
pubs:607167
UUID:
uuid:b5d543cb-e0ac-4f78-b99e-3950bda6ab63
Local pid:
pubs:607167
Deposit date:
2016-06-29

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