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Wiki-worthy: collective judgment of candidate notability

Margolin, DB and Goodman, S and Keegan, B and Lin, YR and Lazer, D (2016) Wiki-worthy: collective judgment of candidate notability. Information Communication and Society, 19 (8). 1029 - 1045. ISSN 1369-118X

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Abstract

© 2015 Taylor & Francis. The use of socio-technical data to predict elections is a growing research area. We argue that election prediction research suffers from under-specified theoretical models that do not properly distinguish between ‘poll-like’ and ‘prediction market-like’ mechanisms understand findings. More specifically, we argue that, in systems with strong norms and reputational feedback mechanisms, individuals have market-like incentives to bias content creation toward candidates they expect will win. We provide evidence for the merits of this approach using the creation of Wikipedia pages for candidates in the 2010 US and UK national legislative elections. We find that Wikipedia editors are more likely to create Wikipedia pages for challengers who have a better chance of defeating their incumbent opponent and that the timing of these page creations coincides with periods when collective expectations for the candidate's success are relatively high.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Margolin, DB
Goodman, S
Keegan, B
Lin, YRyurulin@pitt.eduYURULIN
Lazer, D
Date: 2 August 2016
Date Type: Publication
Journal or Publication Title: Information Communication and Society
Volume: 19
Number: 8
Page Range: 1029 - 1045
DOI or Unique Handle: 10.1080/1369118x.2015.1069871
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 1369-118X
Date Deposited: 28 Jun 2016 16:12
Last Modified: 18 Oct 2017 06:55
URI: http://d-scholarship.pitt.edu/id/eprint/28286

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