The design effects of voting advice applications: Comparing methods of calculating matches

Tom Louwerse, Martin Rosema

Research output: Contribution to journalArticleAcademicpeer-review

39 Citations (Scopus)

Abstract

In election times more and more voters consult voting advice applications (VAAs), which show them what party or candidate provides the best match. The potential impact of these tools on election outcomes is substantial and hence it is important to study the effects of their design. This article focuses on the method used to calculate the match between voters and parties. More specifically, we examine the use (explicit or implicit) of alternative spatial models and metrics. The analyses are based on the actual answers given by users of one of the most popular VAAs in Europe, StemWijzer in the Netherlands. The results indicate that the advice depends strongly on the spatial model adopted. A majority of the users of StemWijzer would have received another advice, if another spatial model had been used. At the aggregate level this means that how often a particular party is presented as best match depends strongly on the method used to determine the advice. These findings have important implications for the design of future VAAs
Original languageEnglish
Pages (from-to)286-312
JournalActa politica
Volume49
Issue number3
DOIs
Publication statusPublished - 2014

Fingerprint

voting
election
Netherlands
candidacy
time

Keywords

  • IR-91581
  • METIS-304756

Cite this

@article{60ee2daa95e54f49b38edf6ec9bc7c35,
title = "The design effects of voting advice applications: Comparing methods of calculating matches",
abstract = "In election times more and more voters consult voting advice applications (VAAs), which show them what party or candidate provides the best match. The potential impact of these tools on election outcomes is substantial and hence it is important to study the effects of their design. This article focuses on the method used to calculate the match between voters and parties. More specifically, we examine the use (explicit or implicit) of alternative spatial models and metrics. The analyses are based on the actual answers given by users of one of the most popular VAAs in Europe, StemWijzer in the Netherlands. The results indicate that the advice depends strongly on the spatial model adopted. A majority of the users of StemWijzer would have received another advice, if another spatial model had been used. At the aggregate level this means that how often a particular party is presented as best match depends strongly on the method used to determine the advice. These findings have important implications for the design of future VAAs",
keywords = "IR-91581, METIS-304756",
author = "Tom Louwerse and Martin Rosema",
year = "2014",
doi = "10.1057/ap.2013.30",
language = "English",
volume = "49",
pages = "286--312",
journal = "Acta politica",
issn = "0001-6810",
publisher = "Palgrave Macmillan Ltd.",
number = "3",

}

The design effects of voting advice applications: Comparing methods of calculating matches. / Louwerse, Tom; Rosema, Martin.

In: Acta politica, Vol. 49, No. 3, 2014, p. 286-312.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - The design effects of voting advice applications: Comparing methods of calculating matches

AU - Louwerse, Tom

AU - Rosema, Martin

PY - 2014

Y1 - 2014

N2 - In election times more and more voters consult voting advice applications (VAAs), which show them what party or candidate provides the best match. The potential impact of these tools on election outcomes is substantial and hence it is important to study the effects of their design. This article focuses on the method used to calculate the match between voters and parties. More specifically, we examine the use (explicit or implicit) of alternative spatial models and metrics. The analyses are based on the actual answers given by users of one of the most popular VAAs in Europe, StemWijzer in the Netherlands. The results indicate that the advice depends strongly on the spatial model adopted. A majority of the users of StemWijzer would have received another advice, if another spatial model had been used. At the aggregate level this means that how often a particular party is presented as best match depends strongly on the method used to determine the advice. These findings have important implications for the design of future VAAs

AB - In election times more and more voters consult voting advice applications (VAAs), which show them what party or candidate provides the best match. The potential impact of these tools on election outcomes is substantial and hence it is important to study the effects of their design. This article focuses on the method used to calculate the match between voters and parties. More specifically, we examine the use (explicit or implicit) of alternative spatial models and metrics. The analyses are based on the actual answers given by users of one of the most popular VAAs in Europe, StemWijzer in the Netherlands. The results indicate that the advice depends strongly on the spatial model adopted. A majority of the users of StemWijzer would have received another advice, if another spatial model had been used. At the aggregate level this means that how often a particular party is presented as best match depends strongly on the method used to determine the advice. These findings have important implications for the design of future VAAs

KW - IR-91581

KW - METIS-304756

U2 - 10.1057/ap.2013.30

DO - 10.1057/ap.2013.30

M3 - Article

VL - 49

SP - 286

EP - 312

JO - Acta politica

JF - Acta politica

SN - 0001-6810

IS - 3

ER -