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Two sides of the same coin? A largescale comparative analysis of extreme right and Jihadi online text(s)

Mehran, Weeda ORCID: 0000-0003-0207-919X, Herron, Stephen, Miller, Ben, Lemieux, Anthony ORCID: 0000-0001-5789-1172 and Conway, Maura ORCID: 0000-0003-4216-8592 (2022) Two sides of the same coin? A largescale comparative analysis of extreme right and Jihadi online text(s). Studies in Conflict and Terrorism . ISSN 1057-610X

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Abstract

This article describes and discusses a comparative semiotic analysis of online text collected from eight extreme right websites and four violent jihadi groups’ online magazines. The two datasets, which comprise just over 1 million words each, were analyzed using LIWC software. The core issues explored were the shared and different linguistic patterns used among extreme right and violent jihadi extremists and the emotional, cognitive, psychological, and social dimensions of the online textual discourses of each ideological grouping and what function these played in their overall political rhetoric. The findings bring to light some nuanced differences and similarities in the cognitive, social, psychological, and temporal dimensions of language used by each. For example, while both types of ideological text showed the same level of certainty in arguments as a cognitive process, the language depicting social and emotional processes, and religion were used more often by the violent jihadi extremists (VJEs) than the extreme right. The findings also point to the fact that VJEs were more likely than right-wing extremists to discuss the future and promise change as motivational incentives.

Item Type:Article (Published)
Refereed:Yes
Subjects:Social Sciences > Political science
Social Sciences > Speech
Social Sciences > Terrorism
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Law and Government
Publisher:Taylor & Francis
Official URL:https://dx.doi.org/10.1080/1057610X.2022.2071712
Copyright Information:© 2021 The Authors.
ID Code:27547
Deposited On:12 Aug 2022 14:40 by Thomas Murtagh . Last Modified 14 Mar 2023 15:04

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