Trustworthiness of voting advice applications in Europe

Voting Advice Applications (VAAs) are interactive tools used to assist in one’s choice of a party or candidate to vote for in an upcoming election. They have the potential to increase citizens’ trust and participation in democratic structures. However, there is no established ground truth for one’s electoral choice, and VAA recommendations depend strongly on architectural and design choices. We assessed several representative European VAAs according to the Ethics Guidelines for Trustworthy AI provided by the European Commission using publicly available information. We found scores to be comparable across VAAs and low in most requirements, with differences reflecting the kind of developing institution. Across VAAs, we identify the need for improvement in (i) transparency regarding the subjectivity of recommendations, (ii) diversity of stakeholder participation, (iii) user-centric documentation of algorithm, and (iv) disclosure of the underlying values and assumptions.

Publication Details

Journal
Repository for Publications and Research Data (ETH Zurich)
Published
2024-08-12
DOI
https://doi.org/10.3929/ethz-b-000688403
Primary Topic
Electoral Systems and Political Participation
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

Trustworthiness of voting advice applications in Europe

Repository for Publications and Research Data (ETH Zurich)
Electoral Systems and Political Participation
article

Trustworthiness of voting advice applications in Europe

article en

Abstract

Voting Advice Applications (VAAs) are interactive tools used to assist in one’s choice of a party or candidate to vote for in an upcoming election. They have the potential to increase citizens’ trust and participation in democratic structures. However, there is no established ground truth for one’s electoral choice, and VAA recommendations depend strongly on architectural and design choices. We assessed several representative European VAAs according to the Ethics Guidelines for Trustworthy AI provided by the European Commission using publicly available information. We found scores to be comparable across VAAs and low in most requirements, with differences reflecting the kind of developing institution. Across VAAs, we identify the need for improvement in (i) transparency regarding the subjectivity of recommendations, (ii) diversity of stakeholder participation, (iii) user-centric documentation of algorithm, and (iv) disclosure of the underlying values and assumptions.

Repository for Publications and Research Data (ETH Zurich)
Karlstads universitet, Eidgenössische Technische Hochschule Zürich, Umeå Universitet
Openalex Percentile: Top 42%
Electoral Systems and Political Participation
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