The Promise of Computational Journalism

Bibliographic Data

ID12909520
AuthorsTerry Flew (0000-0003-4485-9338, Queensland University of Technology, corresponding author), Christina Spurgeon (0000-0002-2686-921X, Queensland University of Technology), Anna Daniel (0000-0002-9415-4662, Queensland University of Technology), Adam Swift (0000-0003-4116-176X, Queensland University of Technology)
Year2011
Volume6
Issue2
Pages157-171
Publication date2011-10-18
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournalism Practice (JOURNAL)
Journal identifiersISSN: 1751-2786 • E-ISSN: 1751-2794
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/17512786.2011.616655
OpenAlexW2122457900
LanguageEN
Citations received76
References cited11

Computational journalism involves the application of software and technologies to the activities of journalism, and it draws from the fields of computer science, the social sciences, and media and communications. New technologies may enhance the traditional aims of journalism, or may initiate greater interaction between journalists and information and communication technology (ICT) specialists. The enhanced use of computing in news production is related in particular to three factors: larger government datasets becoming more widely available; the increasingly sophisticated and ubiquitous nature of software; and the developing digital economy. Drawing upon international examples, this paper argues that computational journalism techniques may provide new foundations for original investigative journalism and increase the scope for new forms of interaction with readers. Computational journalism provides a major opportunity to enhance the production of original investigative journalism, and to attract and retain readers online

Data science · Engineering ethics · Government (linguistics · Information and Communications Technology · Journalism · Media studies · Multimedia · Political science · Public relations · Scope (computer science · Social media · Sociology · Technical Journalism · World Wide Web · Computer Science · Digital Games and Media · Engineering · Multimedia Communication and Technology · Web Data Mining and Analysis · Software

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