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dc.contributor.authorWignell, Peter
dc.contributor.authorChai, K.
dc.contributor.authorTan, Sabine
dc.contributor.authorO Halloran, K.
dc.contributor.authorLange, R.
dc.date.accessioned2019-02-19T04:17:59Z
dc.date.available2019-02-19T04:17:59Z
dc.date.created2019-02-19T03:58:15Z
dc.date.issued2018
dc.identifier.citationWignell, P. and Chai, K. and Tan, S. and O Halloran, K. and Lange, R. 2018. Natural Language Understanding and Multimodal Discourse Analysis for Interpreting Extremist Communications and the Re-Use of These Materials Online. Terrorism and Political Violence.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/74752
dc.identifier.doi10.1080/09546553.2018.1520703
dc.description.abstract

© 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 findings reported here tested the application of natural language processing models to the text of a sample of articles from the online magazines Dabiq and Rumiyah, produced by the Islamic extremist organisation ISIS. For comparison, text of articles found by reverse image search software which re-used the lead images from the original articles in text which either reported on or opposed extremist activities was also analysed. The aim was to explore what insights the natural language processing models could provide to distinguish between texts produced as propaganda to incite violent extremism and texts which either reported on or opposed violent extremism. The results showed that some valuable insights can be gained from such an approach and that these results could be improved through integrating automated analyses with a theoretical approach with analysed language and images in their immediate and social contexts. Such an approach will inform the interpretation of results and will be used in training software so that stronger results can be achieved in the future.

dc.titleNatural Language Understanding and Multimodal Discourse Analysis for Interpreting Extremist Communications and the Re-Use of These Materials Online
dc.typeJournal Article
dcterms.source.issn0954-6553
dcterms.source.titleTerrorism and Political Violence
curtin.departmentSchool of Education
curtin.accessStatusFulltext not available


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