A corpus-driven comparison of English and French Islamist extremist texts
Paul Baker | Lancaster University
Rachelle Vessey | Birkbeck, University of London
Using corpus linguistics and qualitative, manual discourse analysis, this paper compares English and French extremist texts to
determine how messages in different languages draw upon similar and distinct discursive themes and linguistic strategies. Findings
show that both corpora focus on religion and rewards (i.e. for faith) and strongly rely on othering strategies. However, the
English texts are concerned with world events whereas the French texts focus on issues specific to France. Also, while the English
texts use Arabic code-switching as a form of legitimation, the French texts use a formal register and quotation from scripture in
discussions of permissions, rights, obligations and laws. Finally, the English texts refer to and justify violence to a greater
extent than the French texts. This paper contributes to the field of terrorism studies and the field of corpus linguistics by
presenting a new approach to corpus-driven studies of discourse across more than one language.
Keywords: French, English, extremism, cross-linguistic corpus analysis, corpus-driven discourse analysis
Article outline
- 1.Introduction
- 2.The violent extremism and publications of the Islamic State and al-Qaeda
- 3.Data and methods
- 4.Findings
- 4.1Common categories
- 4.2English categories
- 4.3French categories
- 5.Conclusion
- Notes
-
References
Available under the Creative Commons Attribution (CC BY) 4.0 license.
For any use beyond this license, please contact the publisher at rights@benjamins.nl.
Published online: 29 October 2018
https://doi.org/10.1075/ijcl.17108.bak
https://doi.org/10.1075/ijcl.17108.bak
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