Research methods in the age of digital journalism

Flaounas, Ilias, Ali, Omar, Lansdall-Welfare, Thomas, De Bie, Tijl, Mosdell, Nicholas Alexander, Lewis, Justin Matthew Wren ORCID: https://orcid.org/0000-0002-5300-9127 and Cristianini, Nello 2013. Research methods in the age of digital journalism. Digital Journalism 1 (1) , pp. 102-116. 10.1080/21670811.2012.714928

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Abstract

News content analysis is usually preceded by a labour-intensive coding phase, where experts extract key information from news items. The cost of this phase imposes limitations on the sample sizes that can be processed, and therefore to the kind of questions that can be addressed. In this paper we describe an approach that incorporates text-analysis technologies for the automation of some of these tasks, enabling us to analyse data sets that are many orders of magnitude larger than those normally used. The patterns detected by our method include: (1) similarities in writing style among several outlets, which reflect reader demographics; (2) gender imbalance in media content and its relation with topic; (3) the relationship between topic and popularity of articles.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Journalism, Media and Culture
Uncontrolled Keywords:	automation of coding; automation of content analysis; data mining; large-scale text analysis; pattern discovery
Publisher:	Taylor & Francis
ISSN:	2167-0811
Last Modified:	24 Oct 2022 12:09
URI:	https://orca.cardiff.ac.uk/id/eprint/50733

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