Political Matchmakers – How do the decision rules employed by Vote Advice Application Sites influence their advice?

Research output: Contribution to ConferencePaperAcademic

Abstract

Voter Advice Application (VAA) websites are an increasingly important feature of electoral campaigns, especially in established multi-party democracies. VAA’s seek to enhance issue voting by showing each user how ‘close’ or ‘similar’ individuals users’ stated personal issue positions with the issue positions of the parties. This paper highlights three aspects of VAA’s.
First, the visual presentation or advice that VAA’s present to their users is critically
dependent on the precise built-in Multi-Attribute-Utility-Decision (MAUD) rule to
conceptualize issue voting that underlies a VAAs advices. This paper employs the logfiles of over 600,000 users of the Kieskompas.nl site during the 2010 election campaign in the Netherlands to simulate the advice that the site would have generated under alternative MAUD rules. The results show that different MAUDs result in strikingly different vote advices. Next we employ a representative multiwave panel survey of IntomartGfK among show that the simulation results hold for VAA users. Advices generated by VAAs based on different decision rules generate strikingly different advices. These advices have a huge impact on the vote.
Original languageEnglish
Publication statusPublished - 2012
EventELECDEM conference : Advancing Electoral Research - ELECDEM closing conference - Florence, Italy
Duration: 28 Jun 201230 Jun 2012
https://www.exeter.ac.uk/elecdem/events/title_84741_en.html

Conference

ConferenceELECDEM conference
CountryItaly
Period28/06/1230/06/12
Internet address

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voter
voting
election campaign
website
Netherlands
campaign
democracy
simulation
present

Cite this

@conference{986b136e3777401a90908f67529fdaf8,
title = "Political Matchmakers – How do the decision rules employed by Vote Advice Application Sites influence their advice?",
abstract = "Voter Advice Application (VAA) websites are an increasingly important feature of electoral campaigns, especially in established multi-party democracies. VAA’s seek to enhance issue voting by showing each user how ‘close’ or ‘similar’ individuals users’ stated personal issue positions with the issue positions of the parties. This paper highlights three aspects of VAA’s.First, the visual presentation or advice that VAA’s present to their users is criticallydependent on the precise built-in Multi-Attribute-Utility-Decision (MAUD) rule toconceptualize issue voting that underlies a VAAs advices. This paper employs the logfiles of over 600,000 users of the Kieskompas.nl site during the 2010 election campaign in the Netherlands to simulate the advice that the site would have generated under alternative MAUD rules. The results show that different MAUDs result in strikingly different vote advices. Next we employ a representative multiwave panel survey of IntomartGfK among show that the simulation results hold for VAA users. Advices generated by VAAs based on different decision rules generate strikingly different advices. These advices have a huge impact on the vote.",
author = "Matthew Wall and Andr{\'e} Krouwel and Jan Kleinnijenhuis",
year = "2012",
language = "English",
note = "ELECDEM conference : Advancing Electoral Research - ELECDEM closing conference ; Conference date: 28-06-2012 Through 30-06-2012",
url = "https://www.exeter.ac.uk/elecdem/events/title_84741_en.html",

}

Political Matchmakers – How do the decision rules employed by Vote Advice Application Sites influence their advice? / Wall, Matthew; Krouwel, André; Kleinnijenhuis, Jan.

2012. Paper presented at ELECDEM conference , Italy.

Research output: Contribution to ConferencePaperAcademic

TY - CONF

T1 - Political Matchmakers – How do the decision rules employed by Vote Advice Application Sites influence their advice?

AU - Wall, Matthew

AU - Krouwel, André

AU - Kleinnijenhuis, Jan

PY - 2012

Y1 - 2012

N2 - Voter Advice Application (VAA) websites are an increasingly important feature of electoral campaigns, especially in established multi-party democracies. VAA’s seek to enhance issue voting by showing each user how ‘close’ or ‘similar’ individuals users’ stated personal issue positions with the issue positions of the parties. This paper highlights three aspects of VAA’s.First, the visual presentation or advice that VAA’s present to their users is criticallydependent on the precise built-in Multi-Attribute-Utility-Decision (MAUD) rule toconceptualize issue voting that underlies a VAAs advices. This paper employs the logfiles of over 600,000 users of the Kieskompas.nl site during the 2010 election campaign in the Netherlands to simulate the advice that the site would have generated under alternative MAUD rules. The results show that different MAUDs result in strikingly different vote advices. Next we employ a representative multiwave panel survey of IntomartGfK among show that the simulation results hold for VAA users. Advices generated by VAAs based on different decision rules generate strikingly different advices. These advices have a huge impact on the vote.

AB - Voter Advice Application (VAA) websites are an increasingly important feature of electoral campaigns, especially in established multi-party democracies. VAA’s seek to enhance issue voting by showing each user how ‘close’ or ‘similar’ individuals users’ stated personal issue positions with the issue positions of the parties. This paper highlights three aspects of VAA’s.First, the visual presentation or advice that VAA’s present to their users is criticallydependent on the precise built-in Multi-Attribute-Utility-Decision (MAUD) rule toconceptualize issue voting that underlies a VAAs advices. This paper employs the logfiles of over 600,000 users of the Kieskompas.nl site during the 2010 election campaign in the Netherlands to simulate the advice that the site would have generated under alternative MAUD rules. The results show that different MAUDs result in strikingly different vote advices. Next we employ a representative multiwave panel survey of IntomartGfK among show that the simulation results hold for VAA users. Advices generated by VAAs based on different decision rules generate strikingly different advices. These advices have a huge impact on the vote.

M3 - Paper

ER -