Enhancing Voting Advice Applications: Politicians’ Perspectives on Additional Contextual Information and AI Integration

Despite the popularity of voting advice applications (VAAs), users often struggle to fully understand the political statements. Since users rarely resolve these comprehension issues by searching for information outside the tool, one promising solution is to enrich VAAs with additional contextual information, either through clickable explanations in a so-called VAA+, or through a conversational agent VAA with an integrated chatbot. Responding to user-centric and normative calls for additional information in VAAs, the current study investigates how to add this information in a neutral and ethically sound way. In 20 semi-structured interviews with local politicians from two large Dutch municipalities, we explored (a) perceived acceptability and feasibility of four different types of contextual information—semantic clarifications, status quo descriptions, summaries of arguments in the political debate, and party positions—and (b) how AI could be used to disseminate this information. Discussions addressed appropriate resources, language use, and ethical concerns such as the risk of political bias. Findings show broad support for the addition of all four types of information, including summaries of pro and con arguments. Roughly half of the politicians emphasised that VAA developers should not evaluate the quality of arguments but could instead summarise the arguments as given by political parties to create concise and balanced overviews. Most politicians emphasised that implementation of AI is possible to some extent, but information must be accurate, politically neutral, and transparently sourced. This article reflects on the implications for theory and practice of future VAA development.

Institutions

Publication Details

Journal
Politics and Governance
Published
2026-01-08
DOI
https://doi.org/10.17645/pag.11146
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Voting Advice Applications: Politicians’ Perspectives on Additional Contextual Information and AI Integration

Politics and Governance
AI in Service Interactions
article

Enhancing Voting Advice Applications: Politicians’ Perspectives on Additional Contextual Information and AI Integration

article en

Abstract

Despite the popularity of voting advice applications (VAAs), users often struggle to fully understand the political statements. Since users rarely resolve these comprehension issues by searching for information outside the tool, one promising solution is to enrich VAAs with additional contextual information, either through clickable explanations in a so-called VAA+, or through a conversational agent VAA with an integrated chatbot. Responding to user-centric and normative calls for additional information in VAAs, the current study investigates how to add this information in a neutral and ethically sound way. In 20 semi-structured interviews with local politicians from two large Dutch municipalities, we explored (a) perceived acceptability and feasibility of four different types of contextual information—semantic clarifications, status quo descriptions, summaries of arguments in the political debate, and party positions—and (b) how AI could be used to disseminate this information. Discussions addressed appropriate resources, language use, and ethical concerns such as the risk of political bias. Findings show broad support for the addition of all four types of information, including summaries of pro and con arguments. Roughly half of the politicians emphasised that VAA developers should not evaluate the quality of arguments but could instead summarise the arguments as given by political parties to create concise and balanced overviews. Most politicians emphasised that implementation of AI is possible to some extent, but information must be accurate, politically neutral, and transparently sourced. This article reflects on the implications for theory and practice of future VAA development.

Politics and GovernanceVol. 14
Tilburg University (NL)
Universiteit van Tilburg
Openalex Percentile: Top 93%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Enhancing Voting Advice Applications: Politicians’ Perspectives on Additional Contextual Information and AI Integration · Politics and Governance (2026) | TGRS Research Map | TGRS