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Twitter is the largest and most popular micro-blogging website on Internet. Due to low publication barrier, anonymity and wide penetration, Twitter has become an easy target or platform for extremists to disseminate their ideologies and opinions by posting hate and extremism promoting tweets. Millions of tweets are posted on Twitter everyday and it is practically impossible for Twitter moderators or an intelligence and security analyst to manually identify such tweets, users and communities. However, automatic classification of tweets into pre-defined categories is a non-trivial problem problem due to short text of the tweet (the maximum length of a tweet can be 140 characters) and noisy content (incorrect grammar, spelling mistakes, presence of standard and non-standard abbreviations and slang). We frame the problem of hate and extremism promoting tweet detection as a one-class or unary-class categorization problem by learning a statistical model from a training set containing only the objects of one class . We propose several linguistic features such as presence of war, religious, negative emotions and offensive terms to discriminate hate and extremism promoting tweets from other tweets. We employ a single-class SVM and KNN algorithm for one-class classification task. We conduct a case-study on Jihad, perform a characterization study of the tweets and measure the precision and recall of the machine-learning based classifier. Experimental results on large and real-world dataset demonstrate that the proposed approach is effective with F-score of 0.60 and 0.83 for the KNN and SVM classifier respectively.

VOX-Pol Blog Post.

VOX-Pol Blog post.

VOX-Pol Blog Post.

VOX-Pol Blog Post.

It is an obvious and undeniable fact, that the cyberspace is become a powerful method which is increasingly and quickly utilized by terrorist organizations to achieve their gruesome and nefarious goals by hitting innocent individuals. This paper has conducted a critical and comprehensive study on the literature review aiming to answer several inquiries about utilization of cyberspace by terrorist groups and the applicability of the Malaysian law on terrorism. The meaning, characteristics and goals of cyber terrorism will be highlighted.
Furthermore, this paper will clarify how terrorist groups invade the cyberspace with highlighting on “ISIS” as an example. In addition, this paper will indicate how the Malaysian Law addresses the terrorism. This paper has proved that the terrorist groups become more sophisticated and complex by adopting the cyberspace. Moreover, this paper discloses how terrorist groups exploit the cyberspace. Even if Malaysian law adopts many measures and precautions to counter terrorism, but, it still needs more efforts to deal with terrorism, by regulating the “Bitcoins”, introducing a clear definition about the meaning of “lethal device” to encompass harm programs and viruses, and distinguishing between clicking “like” or sharing the terrorist items with use explicit words to glorify the terrorism and without use any explicit glorification words. The lawgiver must take into consideration the possession of terrorist items orpublications for academic and innocent purposes. Finally, under SOSMA, the power to intercept the communications must be subjected on the judicial oversight and the power of arrest must be based on objective test.