Visualization of Roll Call Data for Supporting Analyses of Political Profiles

Silva, Rodrigo Nunes Moni da; Spritzer, Andre Suslik; Freitas, Carla Maria Dal Sasso

doi:10.1109/sibgrapi.2018.00026

Cited by 4 publications

(5 citation statements)

References 13 publications

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“…Roll call data allows us to study the behavior of the Brazilian deputies, among other facts. A previous work [6] has been extended [7] and integrated using the MGExplorer approach providing several visualizations that include infographics, scatterplots, timeline plot, among others (Fig. 1).…”

Section: Recent Resultsmentioning

confidence: 99%

Visualization, Interaction and Simulation Lab

Freitas

Nedel

Maciel

2021

Anais Estendidos Da XXXIV Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2021)

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The Visualization, Interaction, and Simulation Laboratory (VISLab) at UFRGS is majorly concerned with data visualization and human-computer interaction research. Research on data visualization focuses on the development of information visualization techniques and their application to different domains. Studies on interaction emphasize non-conventional, 3D interaction and haptics in the context of virtual (VR) and augmented reality (AR) applications. We integrate these two areas into immersive analytics research and develop data visualization and novel interaction techniques based on VR and AR technologies. The main goal of our projects is to enhance the human with computers, extending the perception capabilities and improving the human power of action in a natural way. In this paper, we present our research focus and strategy to move towards that goal. We also briefly describe and illustrate some recent works developed in the lab.

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Section: Recent Resultsmentioning

confidence: 99%

Visualization, Interaction and Simulation Lab

Freitas

Nedel

Maciel

2021

Anais Estendidos Da XXXIV Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2021)

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“…In 2007, Slez et al [SM07] employed traditional multidimensional scaling (MDS) to visualize changes in voting alignment between states from the 1787 US constitutional convention voting records, over multiple predefined periods. More recently, da Silva et al [NMdSSDSF18] presented CivisAnalysis, a framework composed of multiple visual tools that explores roll call voting data, including Sankey diagram‐based timelines and multiple projection techniques: Principal Component Analysis (PCA), t‐distributed stochastic neighbor embedding (t‐SNE) [VdMH08], and MDS.…”

Section: Related Workmentioning

confidence: 99%

“…Voting records from legislative assemblies are a valuable source of data for understanding the political landscape and overall legislative process from democratic societies, and the analysis of roll call voting data is a common subject of study by political scientists [NMdSSDSF18]. In a historical context, the complexity and size of such datasets further increase when they are enriched with records and timelines from assemblies in which voting occurred, the actual text being voted upon, transcriptions from speeches and debates, and so on; understanding how these elements interact with roll call data is essential in building a mental picture of events unfolding in voting sessions.…”

Section: Introductionmentioning

confidence: 99%

Exploring Interpersonal Relationships in Historical Voting Records

Cantareira

Xing

Cole

et al. 2023

Computer Graphics Forum

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Figure 1: In the dataset visualizer interface (left, panels DV1-3), voting records from a constitutional convention dataset can be explored, and voting patterns from people can be visualized as projections. Data can be filtered and sampled, and information about the quality and composition of the projection itself can be visualized. Records from individual people can be investigated using the person visualizer interface (right, panels PV1-5), which contains committee involvement, keywords, relationships, event participation, and voting breakdown. The blue highlights show an example of workflow: parts of the timeline are chosen to be projected (A), a point of interest is identified in the projection as two people became closer (B) and the reason for that behavior -a large section of votes in agreement -is seen on the vote breakdown (C).

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“…Uma pesquisa recente realizada [da Silva et al 2018] tem como foco auxiliar a descoberta de narrativas e perfis políticos por meio de visualizac ¸ões de dados. Essa pesquisa apresenta ferramentas que permitem analisar o espectro dos deputados com base em suas votac ¸ões na Câmara dos Deputados do Brasil, como mostra a Figura 1.…”

Section: Visualizac ¸õEsunclassified

Jornalismo de Dados: transformação digital na produção de notícias

Bilo

Nunes

Castro

et al. 2023

Anais Do IV Workshop Sobre as Implicações Da Computação Na Sociedade (WICS 2023)

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Este artigo tem como objetivo explorar o uso do jornalismo de dados como uma técnica emergente no campo do jornalismo moderno. Para isso, apresentamos exemplos concretos de matérias e jornais que utilizam essa técnica para coletar, analisar e visualizar grandes conjuntos de dados. Destacamos como o jornalismo de dados permite produzir reportagens mais precisas e factuais, ao mesmo tempo em que identifica padrões e tendências em grandes quantidades de informações. Enfatizamos, também, os desafios que a transformação digital apresenta para o jornalismo, como o combate às fake news, bem como as oportunidades para a produção de conteúdo mais diverso e seguro. Por fim, concluímos que trata-se de uma área promissora e essencial para o jornalismo moderno, contribuindo para uma maior precisão e transparência nas informações divulgadas para a sociedade.

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Visualization of Roll Call Data for Supporting Analyses of Political Profiles

Cited by 4 publications

References 13 publications

Visualization, Interaction and Simulation Lab

Visualization, Interaction and Simulation Lab

Exploring Interpersonal Relationships in Historical Voting Records

Jornalismo de Dados: transformação digital na produção de notícias

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