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Uncovering the wider structure of extreme right communities spanning popular online networks

O'Callaghan, Derek, Greene, Derek, Conway, Maura orcid logoORCID: 0000-0003-4216-8592, Carthy, Joe and Cunningham, Padraig (2013) Uncovering the wider structure of extreme right communities spanning popular online networks. Proceedings of the 5th Annual ACM Web Science Conference . pp. 276-285. ISSN 978-1-4503-1889-1

Abstract
Recent years have seen increased interest in the online presence of extreme right groups. Although originally composed of dedicated websites, the online extreme right milieu now spans multiple networks, including popular social media platforms such as Twitter, Facebook and YouTube. Ideally therefore, any contemporary analysis of online extreme right activity requires the consideration of multiple data sources, rather than being restricted to a single platform. We investigate the potential for Twitter to act as one possible gateway to communities within the wider online network of the extreme right, given its facility for the dissemination of content. A strategy for representing heterogeneous network data with a single homogeneous network for the purpose of community detection is presented, where these inherently dynamic communities are tracked over time. We use this strategy to discover and analyze persistent English and German language extreme right communities.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Extreme Right; Heterogeneous Online Networks; Social Network Analysis; Twitter; YouTube
Subjects:Social Sciences > International relations
Computer Science > World Wide Web
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Humanities and Social Science
Research Initiatives and Centres > Centre for International Studies (CIS)
DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Law and Government
Publisher:ACM
Official URL:http://dx.doi.org/10.1145/2464464.2464495
Copyright Information:© ACM, 2014. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 5th Annual ACM Web Science Conference http://doi.acm.org/10.1145/2464464.2464495
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:19974
Deposited On:29 May 2014 13:32 by Maura Conway . Last Modified 27 Aug 2018 13:41
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