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Making Computers Understand Coalition and Opposition in Parliamentary Democracy

  • Matthias Steinbauer
  • Markus Hiesmair
  • Gabriele Anderst-Kotsis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9820)

Abstract

In recent years a tremendous raise in the establishment of Open Data initiatives can be observed, aiming at more transparency in government and public institutions. One facet of this trend are data from legislative bodies, including records and archived transcripts of plenary sessions as a measure of transparency and accountability. In this paper the system design and a prototypical implementation of an information system that makes use of these data is presented. From session transcripts naive metrics such as when and how often representatives participate in political discourse but also network metrics as in with whom representatives engage in consenting and opposing discourse can be derived. The objective of the system is to make those relationships visible and accessible to the user in an intuitive way. The system neither can nor attempts to interpret the data, this is left to the user. This paper discusses how data analytics, data visualisation, and network analytics can be facilitated to make the transcripts of legislative bodies more accessible for this purpose. The findings are underpinned by first observations over a proof-of-concept prototype which exploits data available from the Austrian parliament.

Keywords

Data visualisation Open data Network analytics 

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Copyright information

© IFIP International Federation for Information Processing 2016

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  1. 1.Institute of TelecooperationJohannes Kepler University of LinzLinzAustria

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