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Algorithms, Automation, and News

Thurman, N., Lewis, S. C. and Kunert, J. Algorithms, Automation, and News. Digital Journalism, 7(8), pp. 980-992. doi: 10.1080/21670811.2019.1685395

Abstract

This special issue examines the growing importance of algorithms and automation in the gathering, composition, and distribution of news. It connects a long line of research on journalism and computation with scholarly and professional terrain yet to be explored. Taken as a whole, these articles share some of the noble ambitions of the pioneering publications on ‘reporting algorithms’, such as a desire to see computing help journalists in their watchdog role by holding power to account. However, they also go further, firstly by addressing the fuller range of technologies that computational journalism now consists of: from chatbots and recommender systems, to artificial intelligence and atomised journalism. Secondly, they advance the literature by demonstrating the increased variety of uses for these technologies, including engaging underserved audiences, selling subscriptions, and recombining and re-using content. Thirdly, they problematize computational journalism by, for example, pointing out some of the challenges inherent in applying AI to investigative journalism and in trying to preserve public service values. Fourthly, they offer suggestions for future research and practice, including by presenting a framework for developing democratic news recommenders and another that may help us think about computational journalism in a more integrated, structured manner.

Publication Type: Article
Additional Information: This is the Author's Original Manuscript of an article published by Taylor & Francis in Digital Journalism on 18 November 2019, available online: http://www.tandfonline.com/10.1080/21670811.2019.1685395.
Publisher Keywords: Algorithms, atomised journalism, automated journalism, chatbots, computational journalism, news personalization, recommender systems, structured journalism
Subjects: P Language and Literature
Q Science > QA Mathematics > QA76 Computer software
Departments: School of Arts & Social Sciences > Journalism
Date Deposited: 21 Nov 2019 12:03
URI: https://openaccess.city.ac.uk/id/eprint/23257
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