Data Journalism and the Regeneration of News

<p>Data Journalism and the Regeneration of News traces the emergence of data journalism through a scholarly lens. It reveals the growth of data journalism as a subspecialty, cultivated and sustained by an increasing number of professional identities, tools and technologies, educational opportunities and new forms of collaboration and computational thinking. </p><p>The authors base their analysis on five years of in-depth field research, largely in Canada, an example of a mature media system. The book identifies how data journalism’s development is partly due to it being at the center of multiple crises and shocks to journalism, including digitalization, acute mis- and dis-information concerns and increasingly participatory audiences. It highlights how data journalists, particularly in well-resourced newsrooms, are able to address issues of trust and credibility to advance their professional interests. These journalists are operating as institutional entrepreneurs in a field still responding to the disruption effects of digitalization more than 20 years ago.</p><p>By exploring the ways in which data journalists are strategically working to modernize the way journalists talk about methods and maintain journalism authority, <i>Data Journalism and the Regeneration of News </i>introduces an important new dimension to the study of digital journalism for researchers, students and educators. </p> <p>Acknowledgements, Introduction, Chapter 1: Hybrid Times Chapter 2: Data Journalism in Liquid Times Chapter 3: Strength in Numbers Chapter 4: The Materiality of Data Journalism Chapter 5: Visualizing the Future Chapter 6: Conclusion</p>