Applying Deep Learning for Extremism Detection
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Stemming is effective for high-volume data like chat logs or social media posts, where lexical diversity could obscure threat signals.
“Stemming is effective for high-volume data like chat logs or social media posts, where lexical diversity could obscure threat signals.”
From A systematic review on insider threat detection using natural language processing (2025) · cites this paper as [37]
Cites
A Survey on Automatic Detection of Hate Speech in Text
Fortuna, P., & Nunes, S. (2019) · ACM Computing Surveys · doi:10.1145/3232676 · Cited by 1,241 · see citing works
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Improving the Reliability of Deep Neural Networks in NLP: A Review
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The Making of Violent Extremists
Kruglanski, A. W., Jaśko, K., Webber, D. J., Chernikova, M., & Molinario, E. (2018) · Review of General Psychology · doi:10.1037/gpr0000144 · Cited by 182 · see citing works
Contagion dynamics of extremist propaganda in social networks
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Visualisation in corpus-based discourse studies
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The Automated Detection of Racist Discourse in Dutch Social Media
Tulkens, S., Hilte, L., Lodewyckx, E., Verhoeven, B., & Daelemans, W. M. P. (2016) · Computational Linguistics in the Netherlands Journal · Cited by 30 · see citing works
Understanding news story chains using information retrieval and network clustering techniquesPreprint
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A theoretically motivated method for automatically evaluating texts for gist inferences
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The Most Used Forms and Methods of Citizens Involvement in Terrorist and Extremist Activity
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Multi-Ideology Multi-Class Extremism Classification Using Deep Learning Techniques
Gaikwad, M., Ahirrao, S. N., Kotecha, K. V., & Abraham, A. (2022) · IEEE Access · doi:10.1109/access.2022.3205744 · Cited by 36 · see citing works
Multi‐Ideology, Multiclass Online Extremism Dataset, and Its Evaluation Using Machine Learning
Gaikwad, M., Ahirrao, S. N., Phansalkar, S., Kotecha, K. V., & Rani, S. (2023) · Computational Intelligence and Neuroscience · doi:10.1155/2023/4563145 · Cited by 16 · see citing works
A systematic review on insider threat detection using natural language processing
Kundiya, K., & Haribhakta, Y. (2025) · International Journal of Information Security · doi:10.1007/s10207-025-01145-6 · Cited by 9 · see citing works
Rosli, R. M., Aris, S. R. S., Aziz, A., Tsuchiya, T., & Lokman, A. M. (2021) · International Journal of Advanced Technology and Engineering Exploration · doi:10.19101/ijatee.2021.874291 · Cited by 2 · see citing works
Bolatbek, M., Sagynay, M., Mussiraliyeva, S., & Yeltay, Z. (2025) · PeerJ Computer Science · doi:10.7717/peerj-cs.3027 · Cited by 3 · see citing works
Self-citationA Proposal to Develop Software to Prevent Young People to Acquire Extremist Beliefs
Patón-Romero, J. D., & Løvås, I. V. (2022) · European Journal of Sustainable Development · doi:10.14207/ejsd.2022.v11n4p158 · Cited by 1 · see citing works
The Impact of Social Media in Terrorist Attack Detection: A Comprehensive Study
Divya, S., & Sujitha, B. B. (2025) · International Conference on Machine Learning and Autonomous Systems (ICMLAS) · doi:10.1109/icmlas64557.2025.10967634
- Authors
- Mussiraliyeva, S., Omarov, B., Bolatbek, M., Ospanov, R., Baispay, G., Medetbek, Z., & Yeltay, Z.
- Affiliations
- Al-Farabi Kazakh National University (KZ)
- ORCID
- Venue
- Communications in Computer and Information Science
- Publisher
- Springer Singapore
- Published
- 2021
- Pages
- 597-605
- ISSN
- 1865-0929 (ISSN-L)
- 1865-0937
- OpenAlex
- W3175002007
- Cited by
- 7
- References
- 18
- Citations by year
- 2025: 3 · 2023: 1 · 2022: 2 · 2021: 1
- FWCI
- 0.46
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Communications in computer and information science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Social Sciences › Sociology and Political Science › Terrorism, Counterterrorism, and Political Violence
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Keywords
- deep learning, social media, radicalization, online radicalization, text classification, terrorist recruitment
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