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Making Computers Understand Coalition and Opposition in Parliamentary Democracy

机译:使计算机了解议会民主制的联合与反对

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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.
机译:近年来,可以看到建立开放数据计划的巨大增长,目的是提高政府和公共机构的透明度。这一趋势的一个方面是立法机构提供的数据,包括全体会议的记录和成绩单,以衡量透明度和问责制。在本文中,提出了利用这些数据的信息系统的系统设计和原型实现。从会议记录中可以得出天真的度量标准,例如代表何时和多久参加一次政治演讲,还可以得出网络度量标准,例如代表们参与同意和反对话语的人。该系统的目的是使这些关系以直观的方式对用户可见并可以访问。系统既不能也不试图解释数据,这留给用户。本文讨论如何促进数据分析,数据可视化和网络分析,以使立法机构的笔录更易于访问。这一发现是通过对概念验证原型的首次观察得到支持的,该原型利用了奥地利议会提供的数据。

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