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Exploring the Landscape of Data Journalism: Critical Practices and Future Directions

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The Data Journalism Handbook 2 explores the evolving field of data journalism, addressing its significance, challenges, and methodologies. It aims to provide a critical examination of data practices, emphasizing the importance of understanding the socio-political contexts in which data is generated and used. The book features contributions from various experts, offering diverse perspectives on how data journalism can be practiced effectively and ethically.
  • main points
  • unique insights
  • practical applications
  • key topics
  • key insights
  • learning outcomes

  • • main points

    • 1
      Comprehensive exploration of data journalism's evolution and relevance.
    • 2
      Diverse contributions from experts across multiple disciplines.
    • 3
      Emphasis on critical data practices and socio-political implications.

  • • unique insights

    • 1
      The concept of 'critical data practices' encourages a nuanced understanding of data's role in journalism.
    • 2
      The book highlights the importance of interdisciplinary collaboration in data journalism.

  • • practical applications

    • The handbook provides practical insights and methodologies for journalists to effectively utilize data in storytelling while being critically aware of its implications.

  • • key topics

    • 1
      Critical data practices in journalism
    • 2
      Interdisciplinary approaches to data journalism
    • 3
      Ethical implications of data use in storytelling

  • • key insights

    • 1
      Focus on the socio-political context of data generation.
    • 2
      Encourages critical engagement with data sources and practices.
    • 3
      Provides a platform for diverse voices in the field of data journalism.

  • • learning outcomes

    • 1
      Understand the critical role of data in journalism.
    • 2
      Learn about ethical considerations in data journalism.
    • 3
      Explore interdisciplinary approaches to data practices.
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“ Introduction to Data Journalism

Since its inception, data journalism has evolved significantly. Initially a niche area, it has now become mainstream, with numerous organizations and educational institutions offering training and resources.

“ Critical Data Practices

This section presents various case studies that illustrate successful data journalism projects. Examples include investigations into climate change, social inequality, and public health.

“ Ethics and Responsibilities in Data Journalism

Collaboration between journalists, researchers, and communities enhances the quality and impact of data journalism. This section explores various collaborative models and their outcomes.

 Original link: https://kclpure.kcl.ac.uk/portal/files/193447355/The_Data_Journalism_Handbook_2_JP.pdf

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