Nicholas Diakopoulos is an expert on computational and data journalism whose work has been featured on BBC Radio 4 and CBC Radio and in The Atlantic, Slate, Wall Street Journal, Washington Post, and Boston Globe. He is Director of the Computational Journalism Lab (CJL) and an Assistant Professor in the School of Communication at Northwestern University, and is a Tow Fellow at Columbia University School of Journalism. A consultant specializing in research, design, and development for computational media applications, he cofounded Georgia Tech's program in Computational Journalism.
This book provides a comprehensive, evidence-based, and cautiously optimistic analysis of how automation is changing journalism--and how journalism in turn needs to change to make better use of automation. Diakopoulos documents how technology is increasingly supplementing--not replacing--human work in newsrooms, discusses the potential and very real limitation of new tools, and identifies ways in which reporting can evolve to better hold algorithms and those behind them accountable. An important and actionable analysis.--Rasmus Kleis Nielsen, Reuters Institute, University of Oxford Diakopoulos provides deep discussion of the theory and practice of journalism automation, grounded in significant research and interviews with leading practitioners. The result is a trailblazing book full of information that has not appeared anywhere else.--Jonathan Stray, Columbia Journalism School Algorithms are changing the ways stories are discovered, told, and distributed--for good and for ill. Automating the News expertly explains how the combination of computation and journalism is evolving, with insights of great interest to reporters, researchers, and readers.--James T. Hamilton, Stanford University