Journalism in an Era of Big Data

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Algorithmic Accountability
algorithmic accountability in journalism
Algorithmic Authority
Algorithmic Journalism
algorithmic news production
algorithms
automated journalism
Big Data
Category=JBCT
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Category=KNT
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Cir
Computational Journalism
computational reporting
Computational Thinking
Computer - Assisted Reporting
computer science
data analytics
data ethics journalism
Data Journalism
Data Journalists
Datasets
Digital Journalism
digital media analysis
DSA
Epistemological Tension
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eq_business-finance-law
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eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Held
Input Output Relationship
Investigative Journalism
journalism
Journalism Artefacts
Journalistic Investigation
Journalistic Revelations
media epistemology
networked communication
newsroom automation
Open Source Culture
Precision Journalism
Professional Journalistic Norms
Reverse Engineering
Seismic Safety

Product details

  • ISBN 9780367028411
  • Weight: 281g
  • Dimensions: 174 x 246mm
  • Publication Date: 08 Jan 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Big data is marked by staggering growth in the collection and analysis of digital trace information regarding human and natural activity, bound up in and enabled by the rise of persistent connectivity, networked communication, smart machines, and the internet of things. In addition to their impact on technology and society, these developments have particular significance for the media industry and for journalism as a practice and a profession. These data-centric phenomena are, by some accounts, poised to greatly influence, if not transform, some of the most fundamental aspects of news and its production and distribution by humans and machines.

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.

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.