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Investigating the Approaches to Improve Journalism Practices in Jordan: Data Journalism Perspective

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This study aims to investigate approaches to improve journalism practices in Jordan from a data journalism perspective. The study employs a qualitative approach, consisting of eight semi-structured interviews with journalists, data analysts, and media experts in Jordan. The findings suggest that data journalism has the potential to improve journalism practices in Jordan by providing a more nuanced and evidence-based approach to reporting. However, there are challenges that need to be addressed in order to fully realize the potential of data journalism in Jordan. These challenges include a lack of technical expertise and resources, as well as a lack of awareness and understanding of data journalism among journalists and media organizations in Jordan. The study recommends that media organizations in Jordan invest in training and resources to develop the technical expertise needed to engage in data journalism. Additionally, media organizations should prioritize data journalism as part of their reporting practices and work to raise awareness and understanding of data journalism among journalists in Jordan. Finally, the study highlights the need for collaboration and partnerships between media organizations, data analysts, and other stakeholders in order to fully leverage the potential of data journalism in Jordan.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer Science and Business Media Deutschland GmbH
Pages811-820
Number of pages10
DOIs
Publication statusPublished - 2023

Publication series

NameStudies in Systems, Decision and Control
Volume488
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Keywords

  • Data journalism
  • interviews
  • Jordan
  • journalism practices
  • qualitative approach

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Automotive Engineering
  • Social Sciences (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)
  • Control and Optimization
  • Decision Sciences (miscellaneous)

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