JOURNAL ARTICLE
Dualisms in Jihad: The role of metaphor in creating ideological dichotomies.
Published In: Journal of Language Aggression & Conflict, 2023, v. 11, n. 1. P. 121 1 of 3
Database: Communication Source 2 of 3
Authored By: Patterson, Katie J. 3 of 3
Abstract
This paper explores how metaphors are employed in jihadist magazines to promote a dichotomist worldview of 'us' versus 'them', 'good' versus 'bad', 'east' versus 'west' and 'right' versus 'wrong'. It argues that juxtapositions in both language and thought help writers to reaffirm and/or challenge certain paradigms. The approach uses critical metaphor analysis (Charteris-Black 2004) to investigate qualitative evidence of conceptual metaphors, focusing on the domains life is a seed, conflict is a relationship between predator and prey, and faith is light/lack of faith is darkness. Dichotomous language in these domains (e.g., 'seed' versus 'weed'; 'sheep' versus 'wolves'; the 'spark of Jihad' versus the 'shadow' of Western governments) helps to position extremist groups on the right side of a number of paradigms. The use of binary metaphors also permits simultaneously conflicting conceptualisations; for instance, jihadists are both innocent victims and merciless defenders of their faith, depending on with whom or what they are juxtaposed. The research concludes that the use of binary metaphors serves to underscore entrenched paradigms of 'good' versus 'bad', thus allowing the writers to frame their discourse in a way that justifies and promotes their extremist agenda. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Language Aggression & Conflict. 2023/01, Vol. 11, Issue 1, p121
- Document Type:Article
- Subject Area:Religion and Philosophy
- Publication Date:2023
- ISSN:2213-1272
- DOI:10.1075/jlac.00075.pat
- Accession Number:162471038
- Copyright Statement:Copyright of Journal of Language Aggression & Conflict is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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