Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/36303
Title: The power of alignment: how personalized information shapes voter decisions
Authors: Ioannidis, Nikandros 
Major Field of Science: Social Sciences
Field Category: Political Science
Keywords: Voting advice applications (VAAs);electoral engagement;voter-party congruence;personalised information
Issue Date: Jun-2025
Source: Journal of Information Technology & Politics, 2025
Journal: Journal of Information Technology and Politics 
Abstract: This study examines the effects of personalized political information on voter-party congruence and electoral behavior through an online survey experiment embedded in a Voting Advice Application (VAA) during the 2021 parliamentary elections in Cyprus. Drawing on Downs’ paradox, it hypothesizes that personalized affinity information would increase electoral participation and proximity voting by lowering informational costs. The experiment, involving approximately 4% of the Cypriot electorate, finds that such information significantly increases the likelihood of participation – by up to 10 percentage points – and encourages broader party consideration beyond single-party allegiance. However, no evidence is found that it shifts vote intentions toward more ideologically congruent parties. Despite increased awareness, voting choices remain largely stable, suggesting that short VAA interactions may activate participation without altering entrenched preferences. These findings underscore the value of VAAs as tools for engagement, even if their capacity to reshape vote choice is limited.
URI: https://hdl.handle.net/20.500.14279/36303
DOI: 10.1080/19331681.2025.2512856
Rights: © The Author(s)
Type: Article
Affiliation : Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

Files in This Item:
CORE Recommender
Show full item record

Page view(s)

69
Last Week
1
Last month
17
checked on Jun 9, 2026

Download(s)

31
checked on Jun 9, 2026

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.