Interpreting text and image relations in violent extremist discourse: A mixed methods approach for big data analytics
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This article presents a mixed methods approach for analysing text and image relations in violent extremist discourse. The approach involves integrating multimodal discourse analysis with data mining and information visualisation, resulting in theoretically informed empirical techniques for automated analysis of text and image relations in large datasets. The approach is illustrated by a study which aims to analyse how violent extremist groups use language and images to legitimise their views, incite violence, and influence recruits in online propaganda materials, and how the images from these materials are re-used in different media platforms in ways that support and resist violent extremism. The approach developed in this article contributes to what promises to be one of the key areas of research in the coming decades: namely the interdisciplinary study of big (digital) datasets of human discourse, and the implications of this for terrorism analysis and research.
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A multimodal mixed methods approach for examining recontextualisation patterns of violent extremist images in online mediaTan, Sabine; O'Halloran, Kay; Wignell, P.; Chai, K.; Lange, R. (2018)© 2017 This paper uses a multimodal mixed methods approach for exploring general recontextualisation patterns of violent extremist images in online media. Specifically, the paper reports on the preliminary findings of a ...
Wignell, Peter; Tan, Sabine; O Halloran, K. (2017)© 2016 Informa UK Limited, trading as Taylor & Francis Group.This study employs a multimodal social semiotic approach to the analysis of text and image relations in material produced by the violent extremist organisation ...
Natural Language Understanding and Multimodal Discourse Analysis for Interpreting Extremist Communications and the Re-Use of These Materials OnlineWignell, Peter; Chai, K.; Tan, Sabine; O Halloran, K.; Lange, R. (2018)© 2018, © 2018 Taylor & Francis. This paper reports on a study that is part of a project which aims to develop a multimodal analytical approach for big data analytics, initially in the context of violent extremism. The ...