Open framework for analyzing public parliaments data

Shai Berkovitz, Amit Mazuz, Michael Fire

Research output: Contribution to journalArticlepeer-review

Abstract

Open information about government organizations should interest all citizens who care about their governments’ functionality. Large-scale open governmental data open new opportunities for citizens and researchers to monitor their government’s activities and improve its transparency. Over the years, various projects and systems have processed and analyzed governmental data based on open government information. Here, we present the Collecting and Analyzing Parliament Data (CAPD) framework. This novel generic open framework enables collecting and analyzing large-scale public governmental data from multiple sources. This study utilized our framework to collect over 64,000 parliament protocols from over 90 committees from three countries and analyzed it to calculate structured features. Next, we utilized anomaly detection and time series analysis to achieve a number of insights into the committees’ activities. This study demonstrates that the CAPD framework can be utilized to effectively identify anomalous meetings and detect dates of events that affect the parliaments’ functionality and help to monitor their activities.

Original languageAmerican English
Article number161
JournalJournal of Big Data
Volume10
Issue number1
DOIs
StatePublished - 1 Dec 2023

Keywords

  • Big data
  • Data science
  • Open government
  • Parliamentary monitoring

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Information Systems and Management

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