Recent studies have sought to understand individuals’ motivations for terrorism through terrorist material content. To date, these studies have not capitalised on automated language analysis techniques, particularly those of corpus linguistics. In this paper, we demonstrate how applying three corpus-linguistic techniques to extremist statements can provide insights into their ideology. Our data consisted of 250 statements (approximately 500,000 words) promoting terrorist violence. Using the online software tool WMatrix, we submitted these data to frequency count, key word and key concept, and concordance analyses. Results showed that authors centre their rhetoric on themes of morality, social proof, inspiration and appeals to religion, and refer to the world via contrasting concepts, suggesting a polarised way of thinking compared to a general population usage. Additionally, we show how collocation can aid the establishment of networks between people and places. We discuss how such analyses might support the formulation of evidence based counter-terrorism strategies.
2023. The discursive tensions of Darija in Morocco's online news articles: A diachronic corpus-assisted approach. Journal of Arabic Sociolinguistics 1:2 ► pp. 154 ff.
Torregrosa, Javier, Gema Bello-Orgaz, Eugenio Martínez-Cámara, Javier Del Ser & David Camacho
2023. A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges. Journal of Ambient Intelligence and Humanized Computing 14:8 ► pp. 9869 ff.
2022. Open source intelligence extraction for terrorism‐related information: A review. WIREs Data Mining and Knowledge Discovery 12:5
De Bruyn, Phillip Conrad
2022. Differentiating terrorist groups: a novel approach to leverage their online communication. Journal of Policing, Intelligence and Counter Terrorism 17:2 ► pp. 180 ff.
Hamdi, Sami Abdullah
2022. Mining ideological discourse on Twitter: The case of extremism in Arabic. Discourse & Communication 16:1 ► pp. 76 ff.
2021. ‘The rulebook – our constitution’: a study of the ‘Austrian Commonwealth’s’ language use and the creation of identity through ideological in- and out-group presentation and legitimation. Critical Discourse Studies 18:5 ► pp. 565 ff.
Marko, Karoline
2024. Extremist language in anti-COVID-19 conspiracy discourse on Facebook. Critical Discourse Studies 21:1 ► pp. 92 ff.
Hobbs, Valerie
2020. The discourse of divorce in conservative Christian sermons. Critical Discourse Studies 17:2 ► pp. 193 ff.
Phadke, Shruti & Tanushree Mitra
2020. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, ► pp. 1 ff.
Shortland, Neil & James J. F. Forest
2020. Tracking Terrorism: The Role of Technology in Risk Assessment and Monitoring of Terrorist Offenders. In Science Informed Policing [Advanced Sciences and Technologies for Security Applications, ], ► pp. 57 ff.
Litvinova, Tatiana, Olga Litvinova & Galina Zavarzina
2019. Two Views on the 2010 Moscow Metro Bombings: Corpus-Based Contrastive Keyword Analysis. In Digital Transformation and Global Society [Communications in Computer and Information Science, 1038], ► pp. 393 ff.
Litvinova, Tatiana, Olga Litvinova, Polina Panicheva & Elizaveta Biryukova
2018. Using Corpus Linguistics Tools to Analyze a Russian-Language Islamic Extremist Forum. In Internet Science [Lecture Notes in Computer Science, 11193], ► pp. 54 ff.
Lorenzo-Dus, Nuria & Matteo Di Cristofaro
2018. ‘I know this whole market is based on the trust you put in me and I don’t take that lightly’: Trust, community and discourse in crypto-drug markets. Discourse & Communication 12:6 ► pp. 608 ff.
2018. Ecolinguistics, GIS, and Corpus Linguistics for the Analysis of the Rosemont Copper Mine Debate. Environmental Communication 12:4 ► pp. 525 ff.
Prentice, Sheryl & Paul J. Taylor
2018. Psychological and Behavioral Examinations of Online Terrorism. In Psychological and Behavioral Examinations in Cyber Security [Advances in Digital Crime, Forensics, and Cyber Terrorism, ], ► pp. 151 ff.
Prentice, Sheryl & Paul J. Taylor
2019. Psychological and Behavioral Examinations of Online Terrorism. In Multigenerational Online Behavior and Media Use, ► pp. 1665 ff.
Prentice, Sheryl & Paul J. Taylor
2019. Psychological and Behavioral Examinations of Online Terrorism. In Violent Extremism, ► pp. 450 ff.
Prentice, Sheryl & Paul J. Taylor
2021. Poles Apart? The Extent of Similarity Between Online Extremist and Non-extremist Message Content. Frontiers in Psychology 12
2017. Social Entrepreneurship as Institutional-Change Work: A Corpus Linguistics Analysis. Journal of Social Entrepreneurship 8:1 ► pp. 14 ff.
Charitonidis, Christos, Awais Rashid & Paul J. Taylor
2017. Predicting Collective Action from Micro-Blog Data. In Prediction and Inference from Social Networks and Social Media [Lecture Notes in Social Networks, ], ► pp. 141 ff.
Partington, Alan
2017. Varieties of non-obvious meaning in CL and CADS: from ‘hindsight post-dictability’ to sweet serendipity. Corpora 12:3 ► pp. 339 ff.
Slingerland, Edward, Ryan Nichols, Kristoffer Neilbo & Carson Logan
2017. The Distant Reading of Religious Texts: A “Big Data” Approach to Mind-Body Concepts in Early China. Journal of the American Academy of Religion 85:4 ► pp. 985 ff.
Smirnova, Anastasia, Helena Laranetto & Nicholas Kolenda
2017. Ideology through sentiment analysis: A changing perspective on Russia and Islam in NYT. Discourse & Communication 11:3 ► pp. 296 ff.
Taylor, Paul J., Donald Holbrook & Adam Joinson
2017. Same Kind of Different. Criminology & Public Policy 16:1 ► pp. 127 ff.
Brindle, Andrew
2016. Cancer has nothing on Islam: a study of discourses by group elite and supporters of the English defence league. Critical Discourse Studies 13:4 ► pp. 444 ff.
Brindle, Andrew
2018. The Object of Subordination Is Immaterial: Discursive Constructions of Masculinity in a Far-Right Online Forum. In Queering Masculinities in Language and Culture, ► pp. 251 ff.
Jürgens, Ulrich
2015. Aktuelle Fragen der Stadtgeographie. In Stadt und Gesellschaft im Fokus aktueller Stadtforschung, ► pp. 61 ff.
Rashid, Awais, Alistair Baron, Paul Rayson, Corinne May-Chahal, Phil Greenwood & James Walkerdine
2013. Who Am I? Analyzing Digital Personas in Cybercrime Investigations. Computer 46:4 ► pp. 54 ff.
This list is based on CrossRef data as of 6 january 2025. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers.
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