The Data Journalism Handbook Towards A Critical Data Practice 1st Edition by Liliana Bounegru, Jonathan Gray ISBN 9462989516 9789462989511

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ISBN 10: 9462989516
ISBN 13: 9789462989511
Author: Liliana Bounegru, Jonathan Gray

The Data Journalism Handbook: Towards a Critical Data Practice provides a rich and panoramic introduction to data journalism, combining both critical reflection and practical insight. It offers a diverse collection of perspectives on how data journalism is done around the world and the broader consequences of datafication in the news, serving as both a textbook and a sourcebook for this emerging field. With more than 50 chapters from leading researchers and practitioners of data journalism, it explores the work needed to render technologies and data productive for journalistic purposes. It also gives a behind the scenes look at the social lives of data sets, data infrastructures, and data stories in newsrooms, media organizations, start-ups, civil society organizations and beyond. The book includes sections on doing issues with data, assembling data, working with data, experiencing data, investigating data, platforms and algorithms, organizing data journalism, learning data journalism together and situating data journalism.

The Data Journalism Handbook Towards A Critical Data Practice 1st Table of contents:

• Chapter 1: The Role of Data in Journalism

  • Understanding how data is used in modern newsrooms.
  • The importance of data-driven reporting in telling stories.

• Chapter 2: Tools of the Trade

  • The software, technologies, and techniques that data journalists use.
  • Data analysis tools, visualization software, and coding for journalists.

• Chapter 3: Ethical Considerations in Data Journalism

  • Discussing ethical issues surrounding the use of data in storytelling.
  • Privacy concerns, data accuracy, and bias in data collection.

• Chapter 4: Data Collection and Cleaning

  • Techniques for gathering reliable data from various sources.
  • Cleaning and processing raw data for analysis.

• Chapter 5: Data Analysis

  • Basic data analysis techniques for journalists.
  • Approaches for interpreting datasets and finding meaningful insights.

• Chapter 6: Visualization and Presentation of Data

  • Best practices for visualizing data in a way that enhances storytelling.
  • Types of visualizations (charts, maps, infographics) and when to use them.

• Chapter 7: Investigating Data

  • How to critically interrogate data and uncover hidden stories.
  • Tools for analyzing datasets for investigative journalism.

• Chapter 8: Collaborative Data Journalism

  • The role of teamwork in data journalism projects.
  • Case studies of successful collaborative data journalism projects.

• Chapter 9: Case Studies

  • Real-world examples of impactful data journalism stories.
  • How different news outlets use data journalism to cover stories.

• Chapter 10: Data Journalism and the Future

  • Trends and innovations shaping the future of data journalism.
  • The evolving role of data in newsrooms and the increasing importance of data literacy.

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