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CfP: "Voting Advice Application Sample Bias: Sources, Magnitude and Methods" in the 8th ECPR General Conference

Ioannis Andreadis's picture

For the second time, there will be a complete Section at a Conference of the ECPR dedicated to research on VAAs. As you might have seen already, the application for a VAA-section at the ECPR General Conference in Glasgow, 3 – 6 September, 2014, has been accepted.

The next stage of the process is a call for papers. The VAA section proposal included five panels as part of the application. If you are interested in presenting your findings in Glasgow, please get in touch with the chair of the panel your paper might fit into. Since the finalized panels have to be submitted already before 15 February, the VAA section chairs have set January 31 as the deadline for the call for papers, so that the panel chairs have sufficient time to decide which papers could be included in their panels.

I would like to invite you to submit your paper proposals for the following panel:

Panel Title: Voting Advice Application Sample Bias: Sources, Magnitude and Methods
Chair: Ioannis Andreadis (Aristotle University of Thessaloniki), johnandsci@gmail.com
Co-Chair: Matthew Wall (Swansea University), matthewtwall@gmail.com
Discussant: Andre Krouwel (Free University of Amsterdam) a.p.m.krouwel-moredalaguna@vu.nl

Panel Abstract:

Voting Advice Applications (VAAs) are web applications that have been used in many countries (most of them European) to help voters compare their positions on political issues with the positions of political parties and/or candidates on the same issues. VAA data have been used lately by various researchers for many tasks: to explain the electoral behaviour of the voters, to study voter-party congruence, to position parties and their voters on political maps, etc. But the confidence on the conclusions of these studies is limited because the samples collected by VAAs have been found to be non-representative of the corresponding electorates. The objective of the present panel is to create an in-depth understanding of the sources of the bias of VAA samples, the magnitude of the bias and the methods to deal with it. Although cross-national or across time comparative studies are most welcomed (e.g. papers that explain the variation in VAA popularity between different electoral contexts and/or different levels of Internet penetration), case studies (e.g. explaining how the specific characteristics within a country have influenced the distribution of VAA users) are also thought to be valuable contributions to this panel. Paper givers should also try to propose ways of overcoming the problem of non-representativeness of VAA samples.

Please send your paper proposals to Ioannis Andreadis (johnandsci@gmail.com) and Matthew Wall (matthewtwall@gmail.com) including name(s), affiliation of the author(s), paper title and paper abstract. By sending your paper proposals before January 31, 2014 you will give us enough time to prepare and submit the complete panel before the deadline of 15 February 2014.