Automated journalism in UK local newsrooms: attitudes, integration, impact
Article
Thäsler-Kordonouri, S. and Barling, K. 2023. Automated journalism in UK local newsrooms: attitudes, integration, impact. Journalism Practice. https://doi.org/10.1080/17512786.2023.2184413
Type | Article |
---|---|
Title | Automated journalism in UK local newsrooms: attitudes, integration, impact |
Authors | Thäsler-Kordonouri, S. and Barling, K. |
Abstract | Automated journalism is increasingly used to produce News content in UK local newsrooms. Although scholars have been discussing the disruptive potential of automation for journalism, little is known about how local media practitioners deploy and perceive automated journalism. This study aims to help fill this research gap using semi-structured interviews with media practitioners from four local news companies. Each use automated content provided by the news automation service RADAR moderated by human journalists at RADAR itself. Typically RADAR identifies important national datasets on release and then uses a human journalist to create an algorithm to analyse the data for local variations. This material is then made available through a subscription service to the end user, the local newsroom. It is for the local newsroom teams to decide what is relevant to their audiences. |
Keywords | Automated journalism; local journalism; semi-structured interview study; data driven journalism; United Kingdom; localness; publishing pressure |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
Middlesex University Theme | Creativity, Culture & Enterprise |
Publisher | Taylor & Francis (Routledge) |
Journal | Journalism Practice |
ISSN | 1751-2786 |
Electronic | 1751-2794 |
Publication dates | |
Online | 02 Mar 2023 |
Publication process dates | |
Deposited | 20 Feb 2023 |
Submitted | 06 Jun 2022 |
Accepted | 19 Feb 2023 |
Output status | In press |
Publisher's version | License File Access Level Open |
Copyright Statement | © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. |
Digital Object Identifier (DOI) | https://doi.org/10.1080/17512786.2023.2184413 |
Web of Science identifier | WOS:000942667000001 |
Language | English |
https://repository.mdx.ac.uk/item/8q48v
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Publisher's version
AutomatedJournalismInUKLocalNewsroomsAttitudesIntegrationImpact.pdf | ||
License: CC BY-NC-ND 4.0 | ||
File access level: Open |
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