VAAs Users’ Voting Behavior and the Role of Partisanship. Evidence from the 2014 Belgian Federal Elections

Abstract

Abstract In this article, I investigate the effects of Voting Advice Applications (VAAs) on voting behavior of their users. It has been already demonstrated that voters are more likely to follow VAAs recommendation when this latter is consistent with their previous vote intentions. However, the role of partisan attachments in this process has been generally overlooked. The basic idea that I intend to test, indeed, is that partisanship works as strong attitude in voters’ minds, making their preferences less amenable to VAAs advices if compared to those of non-partisan citizens. By implementing logistic regression models on panel data from the 2014 Belgian Federal elections, I show that it is actually unlikely that citizens decide to switch their vote after having played the test, if the advice is not consistent with pre-existing vote intentions. More importantly, I find that the impact of VAAs advice on vote choice is even weaker among citizens that declare to feel attached to a party.