Research output

Article in Journal ()

Unravelling data journalism. A study of data journalism practice in British newsrooms

Citation
Borges Rey E (2016) Unravelling data journalism. A study of data journalism practice in British newsrooms, Journalism Practice, 10 (7), pp. 833-843.

Abstract
The centrality of data in modern society has prompted a need to examine the increasingly powerful role of data brokers and their efforts to quantify the world. Practices and methods such as surveillance, biometrics, automation, data creeping, or profiling consumer behaviour, all offer opportunities and challenges to news reporting. Nonetheless, as most professional journalists display a degree of hesitancy towards numbers and computational literacy, there are only limited means to investigate the power dynamics underpinning data. This article discusses the extent to which current data journalism practices in the UK employ databases and algorithms as a means of holding data organisations accountable. Drawing on semi-structured interviews with data journalists, data editors and news managers working for British mainstream media, the study looks at how data journalism operates within the news cycle of professional newsrooms in the UK. Additionally, it examines the innovations data journalism brings to storytelling, newsgathering, and the dissemination of news.

Keywords
data journalism; big data; data brokers; algorithms; power; materiality; performativity; reflexivity

StatusPublished
AuthorsBorges Rey Eddy
Publication date2016
Publication date online16/03/2016
Date accepted by journal26/02/2016
PublisherTaylor and Francis
ISSN 1751-2786
LanguageEnglish

Journal
Journalism Practice: Volume 10, Issue 7

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