Cognitive dissonance and the effects of Voting Advice Applications on voting behaviour: evidence from the European Elections 2014

ABSTRACT

Voting Advice Applications (VAAs) – also known as Voting Engagement Applications – are online tools which inform users about their proximity to party positions before elections by indicating which parties are closest to the policy preferences of the individual voters. Referring to the theory of cognitive dissonance, this article examines the impact of using a VAA on voting behaviour by looking at the effect mechanisms. For the empirical analyses, we draw on data of a two-wave panel study we conducted before the European Elections 2014, thereby focusing on the German VAA – the Wahl-O-Mat. The findings show that irritation emerges if the preferred party is not positioned at the top of the VAA result list. In turn, a strong irritation can lead to a change in vote choice.     

VAAs as sources of volatility and fragmentation: self-selection effects and genuine effects

ABSTRACT

Recent studies show that using Voting Advice Applications (VAAs) affects party preferences of voters, and hence leads to party switching. Party switching is a necessary but insufficient condition for volatility (a net switch of voters to other parties) and fragmentation (more parties gaining seats) at the aggregate level of electoral constituencies. The research question addressed here is whether the availability of VAAs in electoral constituencies weakens or strengthens trends towards greater volatility and fragmentation as observed in western democracies in the last decades. The data come from 380 Dutch municipalities during the 2014 Dutch municipal council elections. In 133 of them a VAA was available. Using a moderated mediation model that controls for the municipal self-selection of a VAA, we find that a VAA by itself leads to higher levels of volatility and fragmentation. However, VAA availability has a dampening effect in municipal constituencies with characteristics (e.g. population size, ethnic diversity, young average age) that would otherwise make them more susceptible and prone to volatility and fragmentation.     

Selection biases in Voting Advice Application research

This paper focuses on methodological aspects of Voting Advice Application (VAA) research. Self-selection into the treatment and self-selection into the sample need to be controlled for if the aim is to deduce causal effects from VAA use in observational data. This paper outlines omnipresent endogeneity issues, partly imposed through unobserved factors that affect both whether individuals use VAAs and their subsequent electoral behavior. Some research on VAAs has acknowledged the problems associated with selection biases, but practically none have taken steps towards improving these shortcomings. This paper introduces various approaches for handling selection biases and applies them to VAA data from Switzerland. These methodological considerations are of outmost importance for the relevance and validity of VAA research.     

Voting Advice Applications and electoral turnout

In the last two decades Voting Advice Applications (VAAs) have become popular tools among voters, especially in several countries with a multi-party system. In this paper we test if the use of VAAs stimulates electoral participation. We use survey data from the Netherlands, where such tools are widely used. In order to overcome methodological problems of earlier studies, we use techniques that model the effect of confounding variables as a problem of selection into the treatment (VAA usage). We estimate that VAA usage accounted for about four per cent of the reported turnout in the election. The mobilising effect was largest among groups that typically vote in relatively small numbers, such as young voters and those less knowledgeable about politics.     

How to estimate the policy preferences of party supporters: Disaggregating data from voting advice applications versus modeling survey responses

Valid and reliable estimates of the policy preferences of political parties' supporters are essential for the study of political representation. However, such estimates are not directly available from standard surveys of public opinion, which are typically representative by design only at the national level and rarely ask questions about public support for specific policies. In this article, we explore the possibility to use data from voting advice applications (VAA) to estimate the policy preferences of party supporters. To do that, first, we identify 10 questions on preferences towards issues of public policy that were asked around the same time and with similar wording in traditional surveys of public opinion and in VAAs fielded in Germany and in the Netherlands. Then we compare the VAA data disaggregated by political affiliation of the respondents to the survey data adjusted via multilevel regression modeling with poststratification (MRP). We find strong positive correlations between the estimates derived from both methods, especially after weighting the VAA data. Yet, point estimates are not always very close, and the match is sensitive to the treatment of neutral and ‘don't know’ answers. Overall, our results bode well for the validity of using VAA data in empirical research on political representation.     

A perfect match? The impact of statement selection on voting advice applications' ability to match voters and parties

This study examines how statement selection systematically affects the output of voting advice applications (VAAs). Does the statement selection influence how often voters are matched with parties that ‘should be’ close to them? Our benchmark is a classic account of issue voting, the proximity left–right model. We analyze the Belgian VAA Do the Vote Test and find that the output resembles the left–right model. When more left–right statements are included, more left-wing voters get the advice to vote for left-wing parties and the same is true on the right, while simultaneously advantaging parties with more extreme positions on this dimension. We also analyze issue saliency and find that parties are disadvantaged when more statements about salient issues are included. These findings imply tough choices for VAA builders.     

Modeling proximity and directional decisional logic: What can we learn from applying statistical learning techniques to VAA-generated data?

ABSTRACT

Voting advice applications-(VAA) generated data provide an ideal data source for testing competing theories of voting behavior. To that end, this paper focuses on comparing metrics of voter-party ideological concordance based on rival theories of issue voting (proximity and directional theory). Classification performance of the competing models, in terms of correctly predicting party choice, is evaluated in diverse cross-national settings. Drawing on the EUvox dataset (a VAA for the European Parliament elections in 2014) statistical learning techniques are used to model the decisional logic of voters in high- and low-dimensional policy space. The results show that statistical learning methods can improve classification performance significantly and that how dimensionality is modeled affects the performance of competing issue voting models.     

Spatial models in voting advice applications

We examine the use of spatial models in Voting Advice Applications. A successful branch of VAAs uses multidimensional models of the political space to inform users of their policy match with political parties. Creators of these VAAs offer only a very generalized justification for the choice of their underlying spatial model. We examine whether these spatial representations offer a valid depiction of policy differences between parties. We compare the spatial models from the available national ‘electoral compasses’, which include established democracies as well as semi-authoritarian and transitional systems. We find that the two-dimensional ‘one-size fits all’ model that is used in all of these countries fails to accommodate significant variation between party systems.     

A look into the mirror: Preferences,representation and electoral participation

Voting Advice Applications (VAA) are often praised as tools helping users to find their best matching candidates or parties. Using such tools, so the claim goes, might trigger a positive impact on electoral participation. We show that the relationship between VAA usage and the intention to take part in elections indeed exists. The mechanism through which users are drawn to the polls or, inversely, detracted from taking part in the elections is, however, primarily working through the extent with which users' preferences overlap with those of the political parties running in the campaign. The further users find themselves away – in terms of this overlap – from the political parties, the higher the probability of a VAA deterring this user from participating.     

Designing Policy Pilots under Climate Uncertainty: A Conceptual Framework for Comparative Analysis

Abstract

An ongoing challenge while designing policies pertains to their proportionality with the change that is likely or expected in a future policy context. This article conceptualizes proportionality as a feature of policy design to compare different policy strategies launched in response to current and expected changes in the policy context and contributes to comparative policy theory and practice. The conceptual framework is operationalized with climate change as a complex policy problem that challenges policymakers in designing proportionate strategies to enable adaptation to change in the climate and associated impacts. Under conditions of uncertainty, policy piloting provides an opportunity to experiment and test the design features of alternatives to status quo policies to function in a changed policy context. The theoretical discussion is supplemented with examples of policy pilots launched as a form of policy experimentation to address climatic risks to agriculture in rainfed zones of India. Policy design features in four settings of change in policy context, ranging from small-scale incremental to highly flexible adaptive responses, are compared using the framework of proportionality.     

Understanding multi-purpose hybrid voluntary organizations: The contributions of theories on civil society,social movements and non-profit organizations

Abstract

The paper offers a theoretical framework to study the conditions that lead to the emergence of multi-purpose hybrid voluntary organizations and the factors that influence their ability to mobilize resources and enlist commitment. These organizations are characterized by four interrelated attributes: (a) they set out as their mission to uphold and promote cultural values that are typically at variant with dominant and institutionalized values; (b) they offer services to members and the public that express their distinct values, using the services as a model and catalyst for social change; (c) in addition to their instrumental goals, they aim to meet the expressive and social identity needs of their members by promoting a collective identity; and (d) they evolve into hybrid organizations by having multiple purposes—combining to various degrees goals of value change, service provision and mutual-aid. Because they deliberately combine features of volunteer-run associations, social movements and non-profit service organizations, we articulate a theoretical framework that melds concepts and propositions from the various theoretical perspectives used to study each of these organizational forms. We argue that the expanded theoretical framework offers a more comprehensive and dynamic view of civil society and a better perspective to the study of third sector organizations.     

What's the point of voting advice applications? Competing perspectives on democracy and citizenship

Voting advice applications (VAAs) are interactive online tools designed to assist voters by improving the basis on which they decide how to vote. Current VAAs typically aim to do so by matching users' policy-preferences with the positions of parties or candidates. But this ‘matching model’ depends crucially on implicit, contestable presuppositions about the proper functioning of the electoral process and about the forms of competence required for good citizenship—presuppositions associated with the social choice conception of democracy. This paper aims to make those presuppositions explicit and to contrast them with two possible alternative perspectives on VAAs, associated with deliberative and agonistic conceptions of democracy and citizenship.     

Dark Networks as Organizational Problems: Elements of a Theory 1

ABSTRACT

In this paper, we try to understand and interpret why and how dark networks manage to survive despite massive control efforts by nation states, thus demonstrating a high degree of resilience. We approach this question from an organizational perspective looking at the (organizational) changes dark networks undergo in adapting to attempts to destroy them. We draw on insights based on the analysis of how Al Qaeda changed after the massive control efforts by some of the world's most powerful nation states since their attacks on the U.S. on September 11, 2001. In order to develop more general propositions, we contrast the Al Qaeda case with the development of the organizational structure behind the cocaine trade from Colombia to the United States after it had become the object of massive control efforts by the U.S. during the 1990s. Through the analysis we inductively develop a theoretical framework for the analysis of dark networks. Central to this framework is the assumption that dark networks, which are resilient, manage to rebalance differentiation and integration mechanisms in their internal structure and adjust to the new requirements in their task environment based on the actors, their linkages and resources available in order to persist and maintain some capacity to act. We further identify drivers and facilitators stemming from larger societal and political problems that create the motivation for new people to join dark networks. The analysis shows that control efforts that are directed towards the organizational extinction of dark networks will be likely to fail as long as the central problems behind their existence are not tackled. We conclude by sketching out an agenda for future organizational research on covert and illegal networks and organizations.     

Cultures of high-frequency trading: mapping the landscape of algorithmic developments in contemporary financial markets

Abstract

As part of ongoing work to lay a foundation for social studies of high-frequency trading (HFT), this paper introduces the culture(s) of HFT as a sociological problem relating to knowledge and practice. HFT is often discussed as a purely technological development, where all that matters is the speed of allocating, processing and transmitting data. Indeed, the speed at which trades are executed and data transmitted is accelerating, and it is fair to say that algorithms are now the primary interacting agents operating in the financial markets. However, we contend that HFT is first and foremost a cultural phenomenon. More specifically, both individuals and collective agents – such as algorithms – might be considered cultural entities, charged with very different ways of processing information, making sense of it and turning it into knowledge and practice. This raises issues relating to situated knowledge, distributed cognition and action, the assignment of responsibility when regulating high-speed algorithms, their history, organizational structure and, perhaps more fundamentally, their representation.     

Active Learning in Large Graduate Classes: Reflections on an “Attaining Citizenship” Simulation

Abstract

This article details a role-playing “citizenship simulation” used in a large graduate seminar offered by the Masters of International Relations (IR) faculty at Monash University in Melbourne, Australia. While recognizing the need for a more systematic analysis of the relationship between class size and active learning strategies, this article offers an anecdotal reflection on the challenges faced when employing active learning in an IR course with growing enrollment numbers. We describe and analyze a simulation used in the graduate course to evaluate the feasibility and desirability of structuring large IR classrooms to include participatory group activities such as simulations. We also hope the simulation provides instructors with an effective sample design for simulations in their own larger courses.     

Social innovation driven by citizen-led digital innovation: technologies of citizenship and the war on unemployment in Flanders

ABSTRACT

Citizens’ participation in technology design is increasingly deployed as a means to tackle social issues and a technique of empowerment. Techniques of empowerment belong to a set of strategies and methods employed by governmental and nonprofit organizations to constitute active, participatory citizens. This contribution exposes the political rationalities underpinning emerging initiatives that perpetuate citizens’ subjection by deploying participation as their essential governing technology. It analyses an initiative developed by a Belgian nonprofit organization to involve citizens in the design and development of digital tools to tackle unemployment. Findings unveil the potential downsides of participatory practices of technology design for social innovation. Critical reflections invite practitioners to pay greater attention to their design and implementation towards making them truly empowering processes.     

The Writing Lesson: Imaginary Inscriptions in Cultural Encounters

Abstract

This article takes a moment of intercultural exchange, first reported as "The Writing Lesson" by Claude Lévi-Strauss in Tristes Tropiques and later explored by Jacques Derrida in Of Grammatology, as the occasion for further reflection on the role played by the aesthetic in what it terms intercultural transference. Transference occurs whenever unconscious desires, fantasies or patterns of being and relating are enacted in an interpersonal or intercultural encounter, including the indirect encounters between literary or artistic objects and their recipients. It emerges as a largely unconscious operation designed to bridge, close, fill or deny the inevitable gaps in knowing another person or another culture, and to manage the affects such gaps bring forth. Intercultural transference provides a framework to read "The Writing Lesson" differently and suggests a theoretical model able to account for the complex performances of intercultural transference that enter any exchange or translation between cultures.     

The story of two administrative states: state capacity in Hong Kong and Singapore

Abstract

Hong Kong and Singapore are both typical administrative states with an efficient administration and a vibrant market, which had achieved rapid economic growth in the past decades. This article examines the trajectory of their state capacity, highlighting recent problems and challenges. Based on a conceptual framework that captures and links up four dimensions – namely polity, bureaucracy, economy and civil society – their commonalities and differences in response are discussed. Their experience should be of particular relevance to transitional authoritarian states in Asia such as China, which faces similar challenges to reform in the arenas of politics, administration, economics and society.     

Community Commitment in Special Districts

ABSTRACT

Special districts now constitute about 42% of all U.S. jurisdictions, yet little is known about them. Some critics are concerned that special districts and their staffs have insufficient community commitment. This study, based on a national survey of senior managers in large special districts, examines activities and programs of special district managers that foster community building and engagement, including correlates of these. Study results reveal that special districts are committed to their communities and several strategies and conditions are associated with increased community commitment, such as jobs that focus on community interactions, service type, and ethics management, as well as, to a lesser extent, graduate degree qualifications and charters that specify the role of managers in promoting the public interest and in relation to the board.     

Restoring community through traditional neighborhood design: A case study of Diggs town public housing

Abstract

This article examines how traditional neighborhood design (TND) can restore a sense of community to distressed neighborhoods. Traditional neighborhoods, such as those found in many cities and inner suburbs, provide their residents numerous opportunities and venues for social interaction. We apply the principles of TND to the redesign of a public housing project. We call our approach an “architecture of engagement.”

Using a case study of Diggs Town, a public housing project in Norfolk, VA, we explore how the application of TND principles transformed a socially alienated and distressed neighborhood into a socially integrated and functional one. We find that TND techniques improve the quality of life by facilitating the social exchanges that create social capital.