Discourses of enterprise in hyperlocal community news in the UK

Harte, David ORCID: https://orcid.org/0000-0002-2506-1438, Turner, Jerome and Williams, Andrew ORCID: https://orcid.org/0000-0001-9603-4309 2015. Discourses of enterprise in hyperlocal community news in the UK. Policy & Internet 10 (2) , pp. 233-250. 10.1080/17512786.2015.1123109

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Abstract

The use of “Big Data” in policy and decision making is a current topic of debate. The 2013 murder of Drummer Lee Rigby in Woolwich, London, UK led to an extensive public reaction on social media, providing the opportunity to study the spread of online hate speech (cyber hate) on Twitter. Human annotated Twitter data was collected in the immediate aftermath of Rigby's murder to train and test a supervised machine learning text classifier that distinguishes between hateful and/or antagonistic responses with a focus on race, ethnicity, or religion; and more general responses. Classification features were derived from the content of each tweet, including grammatical dependencies between words to recognize “othering” phrases, incitement to respond with antagonistic action, and claims of well‐founded or justified discrimination against social groups. The results of the classifier were optimal using a combination of probabilistic, rule‐based, and spatial‐based classifiers with a voted ensemble meta‐classifier. We demonstrate how the results of the classifier can be robustly utilized in a statistical model used to forecast the likely spread of cyber hate in a sample of Twitter data. The applications to policy and decision making are discussed.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Journalism, Media and Culture
Subjects:	H Social Sciences > HM Sociology H Social Sciences > HT Communities. Classes. Races P Language and Literature > PN Literature (General) > PN1990 Broadcasting
Uncontrolled Keywords:	hyperlocal; entrepreneurship; journalism; business; citizen journalism; community media
Publisher:	Wiley
ISSN:	1944-2866
Date of First Compliant Deposit:	30 March 2016
Last Modified:	16 Aug 2024 06:27
URI:	https://orca.cardiff.ac.uk/id/eprint/81822

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