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Matching voters to parties: voting advice applications and models of party choice

机译:使选民与政党匹配:投票建议应用和政党选择模型

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摘要

Online voting advice applications (VAAs) have become very popular and may significantly influence voting behaviour. It is therefore important to ask which model of party choice VAAs follow. We establish that VAAs see party choice largely as proximity-based issue congruence, with some elements of the directional and salience models. We then assess how well VAAs follow the proximity model by comparing policy positions extracted from 13 VAAs in seven European countries with established policy measures from expert surveys and party manifestos. Party positions extracted from VAAs show strong convergent validity with left-right and economic positions, but compare less favourably with immigration and environment measures. The voting advice given to users is also inherently limited: VAAs mostly disregard accountability, salience, competence and non-policy factors; they treat policy positions and not outcomes as paramount; and they can be subject to strategic manipulation by political parties. As recommended by their designers, voters should treat these applications as tools and guides rather than as stringent recommendations.
机译:在线投票建议应用程序(VAA)变得非常流行,并且可能会严重影响投票行为。因此,重要的是要询问遵循哪种党派选择VAA模型。我们确定,VAA将方向的选择和基于显着性模型的某些元素视为在很大程度上基于基于接近度的问题。然后,我们通过比较从七个欧洲国家的13个VAA中提取的政策立场与专家调查和政党宣言中确定的政策措施,来评估VAA遵循邻近模型的程度。从VAA中提取的政党职位在左右和经济职位上显示出很强的收敛效度,但与移民和环境措施相比却不太有利。向用户提供的投票建议也有固有的局限性:VAA在很大程度上不考虑问责制,显着性,能力和非政策因素。他们将政策立场而不是结果视为重中之重;他们可能会受到政党的战略操纵。根据设计人员的建议,选民应将这些应用程序视为工具和指南,而不是严格的建议。

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