Matching voters with political parties and candidates: an empirical test of four algorithms
by Fernando Mendez
International Journal of Electronic Governance (IJEG), Vol. 5, No. 3/4, 2012

Abstract: Voting Advice Applications (VAAs) have enjoyed a growing popularity across Europe in recent years and, increasingly, in other parts of the globe too. In response a growing literature is emerging around the promises and potential perils associated with VAAs. This paper contributes to these debates by addressing a core methodological aspect of VAA design: how voters' policy preferences are aggregated to produce measures of concordance with parties/candidates. To this end, the paper analyses the performance of four VAA models that are based on competing algorithms. The findings, which draw from the analysis of VAA-generated data from four experiments, raise a number of concerns for the future design of VAA systems.

Online publication date: Sun, 30-Dec-2012

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Electronic Governance (IJEG):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com