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Wikipedia traffic data and electoral prediction: towards theoretically informed models

Abstract:

This aim of this article is to explore the potential use of Wikipedia page view data for predicting electoral results. Responding to previous critiques of work using socially generated data to predict elections, which have argued that these predictions take place without any understanding of the mechanism which enables them, we first develop a theoretical model which highlights why people might seek information online at election time, and how this activity might relate to overall electoral o...

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Publication status:
Submitted

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Institution:
University of Oxford
Department:
Unknown
Role:
Author
Source identifiers:
607168
Keywords:
Pubs id:
pubs:607168
UUID:
uuid:4b22e023-f406-4e6f-a956-fc11e3fd2100
Local pid:
pubs:607168
Deposit date:
2016-03-02

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