Using computational tools to support journalists' creativity. (September 2022)

• Record Type: Journal Article
• Authors: Franks, Suzanne; Wells, Rebecca; Maiden, Neil; Zachos, Konstantinos
• Is Part Of: Journalism. Volume 23:Number 9(2022)
• Page Start: 1881
• Page End: 1899
• Publication Date: 2022-09
• Subjects: Computational journalism -- digital -- digital creativity support tools -- news production; Journalism -- Periodicals; Journalism -- Social aspects -- Periodicals; 070.405
• DOI: 10.1177/14648849211010582
• Languages: English
• ISSNs: 1464-8849

Abstract

This paper presents work surrounding INJECT, a newsroom innovation offering digital tools to support journalists. Research showing increasing time and resource pressure on journalists has led to concerns about the demise of investigative reporting and the ability of today's journalists to interrogate information adequately. Some digital innovations (e.g. tools facilitating robot journalism) have been viewed with suspicion by newsrooms. This paper reports on a research project that seeks to create an innovative tool to support the creative capabilities of time and resource poor journalists. The INJECT project used the advanced information discovery capabilities of digitisation to help journalists find new angles on stories and this paper analyses the extent to which such initiatives might harness digital innovation to benefit both the quality and range of reporting and thereby enhance creativity. It examines the potential of an information processing model of creativity derived from the INJECT tool to assist and support journalists, exploring the theoretical impact as well as the practical implications reported from the newsroom.