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What such changes actually mean for news, democracy, and public life, however, is far from certain. As such, there is a need for scholarly scrutiny and critique of this trend, and this volume thus explores a range of phenomena—from the use of algorithms in the newsroom, to the emergence of automated news stories—at the intersection between journalism and the social, computer, and information sciences. What are the implications of such developments for journalism’s professional norms, routines, and ethics? For its organizations, institutions, and economics? For its authority and expertise? And for the epistemology that underwrites journalism’s role as knowledge-producer and sense-maker in society? Altogether, this book offers a first step in understanding what big data means for journalism. This book was originally published as a special issue of Digital Journalism.
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Seth C. Lewis is the inaugural Shirley Papé Chair in Electronic and Emerging Media in the School of Journalism and Communication at the University of Oregon, Eugene, OR, USA. He is also a visiting fellow with the Information Society Project at Yale Law School, CT, USA. His widely published research explores the digital transformation of journalism, with a focus on the human–technology interactions and media innovation processes associated with data, code, analytics, social media, and related phenomena. He is co-editor of Boundaries of Journalism: Professionalism, Practices, and Participation (Routledge, 2015), and is on the editorial boards of New Media & Society, Social Media + Society, Digital Journalism, and Journalism & Mass Communication Quarterly, among other journals.
