2021
DOI: 10.1080/10584609.2020.1843572
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Meta-Analysis of the Effects of Voting Advice Applications

Abstract: We review the influence of voting advice applications (VAAs) on three core outcomes: turnout, vote choice, and issue knowledge. In a meta-analysis of 55 effects reported in 22 studies, comprising 73,673 participants in 9 countries, we find strong evidence for positive effects of VAA usage on reported turnout (OR = 1.87; 95% CI = [1.50, 2.33]) and vote choice (OR = 1.44; 95% CI = [1.16, 1.78]) as well as modest evidence on knowledge increase (partial correlation = 0.09; 95% CI = [-0.01, 0.18]). At the same time… Show more

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Cited by 24 publications
(15 citation statements)
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References 34 publications
(19 reference statements)
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“…We also find that VAAs clearly influence vote choices, which is in line with previous studies (Munzert and Ramirez Ruiz 2021). Endorsements of VAAs, based on a matching of issue positions of the voter and the candidates, has an effect on candidate favorability on par with endorsements from family members and close friends.…”
Section: Concluding Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…We also find that VAAs clearly influence vote choices, which is in line with previous studies (Munzert and Ramirez Ruiz 2021). Endorsements of VAAs, based on a matching of issue positions of the voter and the candidates, has an effect on candidate favorability on par with endorsements from family members and close friends.…”
Section: Concluding Discussionsupporting
confidence: 91%
“…Research on VAAs has expanded substantially over the last decade. While many studies in the field rely on less ideal cross-sectional and opt-in data, findings indicate that VAAs can influence political behaviour in a variety of ways (Munzert and Ramirez Ruiz 2021). VAA usage has for example been shown to mobilize voters (Gemenis and Rosema 2014;Garzia, Trechsel, and De Angelis 2017), to have positive cognitive effects (Schultze 2014;Kamoen et al 2015), and to influence vote choices (Kleinnijenhuis et al 2019).…”
Section: Endorsements and Candidate Choicementioning
confidence: 99%
“…Usually, the absence of randomized treatment assignment, an inevitably feature of observational data (e.g., survey data), precludes 2 We excluded causal evidence on the effects of voting advice applications from our summary as they are a very specific form of digital media, constructed to enhance political participation in democracies. The effects of voting advice applications are already extensively discussed in a meta analysis [52]. the identification of causal effects because individuals differ systematically on variables other than the treatment (or independent) variable.…”
Section: Causal Inferencementioning
confidence: 99%
“…The proposed designs should be tested for their capability to fulfill design objectives, recommendation accuracy, and user satisfaction. On a general note, a lot of VAA research has been focusing on algorithms and effects of VAA usage (see e.g., Munzert and Ramirez Ruiz 2021;Mendez 2017), while only a few studies have surveyed user experiences related to specific VAA designs (see Bruinsma 2020). I perceive this line of experimental research particularly necessary, as observing VAA usage could shed light on users' political information-seeking behavior and users' perception of political issues.…”
Section: Discussionmentioning
confidence: 99%