Data Journalism and Politics: Election DataBot, European Data Journalism Network and Media 3.0 Foundation Cover Image

Data Journalism and Politics: Election DataBot, European Data Journalism Network and Media 3.0 Foundation
Data Journalism and Politics: Election DataBot, European Data Journalism Network and Media 3.0 Foundation

Author(s): Paulina Kosobucka
Subject(s): Politics / Political Sciences, Civil Society, Electoral systems, Corruption - Transparency - Anti-Corruption
Published by: Wydawnictwo Adam Marszałek
Keywords: data journalism; elections; initiatives; politics; tools; Election DataBot; European Data Journalism Network; Media 3.0 Foundation

Summary/Abstract: The purpose of this article is to explain what a digital formof journalism, called data journalism, is and how it is applied in practicerelated to politics. Definitions and various aspects of data journalism (i.a.exemplary variables, most common in data journalism in general, waysof presenting data, factors that data journalists focus on in their worketc.) appear in the first part of article. Politics, as the title of this workindicates, is one of the areas in which this type of journalism is used.In this article, three projects related to data journalism are described.The first example of a tool, based on American politics, used to visualizeand obtain data on congressmen and elections in general, is ElectionDataBot. This paper provides a description of this tool, as well as informationabout organizations that launched it. The next two initiativesrelated to data journalism are: European Data Journalism Network(as the name suggests, it refers to European politics) and Media 3.0Foundation (related to Polish politics). They offer many practical optionsto observe, analyze and show political data. The research method used in the study is the analysis of thematic online sources. The hypothesisis that data journalism is still a growing branch of journalism that hasits adhibition in politics, thus supporting journalists, researchers andothers interested in obtaining and visualizing data.

  • Issue Year: 18/2019
  • Issue No: 1
  • Page Range: 393-408
  • Page Count: 16
  • Language: English