Voting Advice Applications in Japan: An Overview

2016 ◽  
pp. 15-36
Author(s):  
Takayoshi Uekami ◽  
Hidenori Tsutsumi
Keyword(s):  
Voting Advice Applications ◽  
Applications In Japan

Evaluating Visualisations in Voting Advice Applications

2020 ◽  
Vol 11 (1) ◽  
pp. 1-21
Author(s):  
Bastiaan Bruinsma
Keyword(s):  
Small Scale ◽  
First Results ◽  
Scale Experiment ◽  
Voting Advice Applications

AbstractWhile the design of voting advice applications (VAAs) is witnessing an increasing amount of attention, one aspect has until now been overlooked: its visualisations. This is remarkable, as it are those visualisations that communicate to the user the advice of the VAA. Therefore, this article aims to provide a first look at which visualisations VAAs adopt, why they adopt them, and how users comprehend them. For this, I will look at how design choices, specifically those on matching, influence the type of visualisation VAAs not only do but also have to, use. Second, I will report the results of a small-scale experiment that looked if all users comprehend similar visualisations in the same way. Here, I find that this is often not the case and that the interpretations of the users often differ. These first results suggest that VAA visualisations are wrongly underappreciated and demand closer attention of VAA designers.

Party placement in supranational elections

2015 ◽  
Vol 23 (4) ◽  
pp. 333-341 ◽  
Author(s):  
Diego Garzia ◽  
Alexander Trechsel ◽  
Lorenzo De Sio
Keyword(s):  
Iterative Method ◽  
Longitudinal Research ◽  
Policy Issue ◽  
Party Competition ◽  
Parliamentary Elections ◽  
Policy Statements ◽  
Data Collection Procedure ◽  
Voting Advice Applications ◽  
The Eu ◽  
Cross National

Throughout the years, political scientists have devised a multitude of techniques to position political parties on various ideological and policy/issue dimensions. So far, however, none of these techniques was able to evolve into a “gold standard” in party positioning. Against this background, one could recently witness the appearance of a new methodology for party positioning tightly connected to the spread of Voting Advice Applications (VAAs), i.e. an iterative method that aims at improving existing techniques using a combination of party self-placement and expert judgement. Such a method, as pioneered by the Dutch Kieskompas, was first systematically employed on a large cross-national scale by the EU Profiler VAA in the context of the 2009 European Parliamentary elections. This article introduces the party placement datasets generated by euandi (reads: EU and I), a transnational VAA for the 2014 EP elections. The scientific relevance of the euandi endeavour lies primarily in its choice to stick to the iterative method of party positioning employed by the EU Profiler in 2009 as well as in the choice to keep as many as 17 policy statements in the 2014 questionnaire in order to allow for cross-national, longitudinal research on party competition in Europe across a five-year period. This article provides a brief review of traditional methods of party positioning and contrasts them to the iterative method employed by the euandi team. It then introduces the specifics of the project, facts and figures of the data collection procedure, and the details of the resulting dataset encompassing 242 parties from the whole EU28.

Getting Out the Vote With Voting Advice Applications

2018 ◽  
Vol 36 (1) ◽  
pp. 149-170 ◽  
Author(s):  
Micha Germann ◽  
Kostas Gemenis
Keyword(s):  
Voting Advice Applications

scholarly journals Looking through the mirror: representativeness of the Italian party system before the 2018 General Election

2021 ◽  
Vol 84 (1) ◽  
pp. 69-83
Author(s):  
Beniamino Masi
Keyword(s):  
Party System ◽  
Communication Technologies ◽  
General Election ◽  
Political Life ◽  
Policy Preferences ◽  
The Internet ◽  
Electoral Campaigns ◽  
Key Policy ◽  
Use Of The Internet ◽  
Voting Advice Applications

The use of the Internet and communication technologies has dramatically increased in recent times. This change has affected every aspect of political life, with electoral campaigns and parties making no exception. One of the most significant advancements on the theme is the spread of Voting Advice Applications (VAAs). These tools are developed before elections to match users’ policy preferences to those of the parties running. By looking at the dataset created with the answers of the users of an Italian VAA, Navigatore Elettorale, this study aims at understanding the representativeness of the six main parties running in the 2018 General Election. Through the development of a Representative Deficit Index, the study will also assess the key policy areas in which each of these parties performed best in the eyes of the electorate. The finding shows a diversified pattern of (in)successes for each of the parties, with some unexpected results.

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