ABSTRACT
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.
TABLE OF CONTENTS
part |22 pages
Doing Issues With Data
chapter 1|4 pages
From Coffee to Colonialism: Data Investigations Into How the Poor Feed the Rich
part |54 pages
Assembling Data
chapter 12|4 pages
Reassembling Public Data in Cuba: Collaborations When Information Is Missing, Outdated or Scarce
part |54 pages
Working With Data
chapter 22|8 pages
Journalism With Machines? From Computational Thinking to Distributed Cognition
part |62 pages
Experiencing Data
part |48 pages
Investigating Data, Platforms and Algorithms
part |40 pages
Organizing Data Journalism
chapter 38|7 pages
From The Guardian to Google News Lab: A Decade of Working in Data Journalism
part |44 pages
Learning Data Journalism Together
chapter 44|17 pages
The Datafication of Journalism: Strategies for Data-Driven Storytelling and Industry–Academy Collaboration
part |62 pages
Situating Data Journalism
