Abstract
PurposeWith the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites. Accordingly, the volume of previous research focused on identifying the techniques and activities of terrorist/extremist groups, as revealed by their sites on the so-called dark web, has also grown.Design/methodology/approachThis study presents a review of the techniques used to detect and process the content of terrorist/extremist sites on the dark web. Forty of the most relevant data sources were examined, and various techniques were identified among them.FindingsBased on this review, it was found that methods of feature selection and feature extraction can be used as topic modeling with content analysis and text clustering.Originality/valueAt the end of the review, present the current state-of-the- art and certain open issues associated with Arabic dark Web content analysis.
Subject
Library and Information Sciences,Information Systems
Reference94 articles.
1. Applying authorship analysis to extremist-group Web forum messages;IEEE Intelligent Systems,2005
2. Affect intensity analysis of dark web forums,2007
3. Abbasi, A. and Chen, H. (2008), “Analysis of affect intensities in extremist group forums”, in Chen, H., Reid, E., Sinai, J., Silke, A. and Ganor, B. (Eds), Terrorism Informatics. Integrated Series in Information Systems, Springer, Boston, MA, Vol. 18, doi: 10.1007/978-0-387-71613-8_14.
4. Sentiment analysis in multiple languages: feature selection for opinion classification in Web forums;ACM Transactions on Information Systems,2008
5. Detection and classification of social media-based extremist affiliations using sentiment analysis techniques;Human-Centric Computing and Information Sciences,2019
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