References

Acemoglu, D. and A. Ozdaglar, 2011. Opinion dynamics and learning in social networks. Dyn. Games Appl., 1: 3-49.
CrossRef  |  Direct Link  |  

Agarwal, S. and A. Sureka, 2014. A focused crawler for mining hate and extremism promoting videos on YouTube. Proceedings of the 25th ACM Conference on Hypertext and Social Media, September 01-04, 2014, ACM, New York, USA., ISBN:978-1-4503-2954-5, pp: 294-296.

Ahmad, R. and Z. Yunos, 2012. A dynamic cyber terrorism framework. Intl. J. Comput. Sci. Inf. Secur., 10: 149-158.
Direct Link  |  

Andre, V., 2012. Neojihadism’1 and YouTube: Patani militant propaganda dissemination and radicalization. Asian Secur., 8: 27-53.
Direct Link  |  

Borji, A. and L. Itti, 2013. State-of-the-art in visual attention modeling. IEEE. Trans. Pattern Anal. Mach. Intell., 35: 185-207.
CrossRef  |  Direct Link  |  

Chen, H., 2011. Dark Web: Exploring and Data Mining the Dark Side of the Web. Vol. 30, Springer, Berlin, Germany, Pages: 450.

Chen, H., D. Denning, N. Roberts, C.A. Larson and X. Yu et al., 2011. The dark web forum portal: From multi-lingual to video. Proceedings of 2011 IEE International Conference on Intelligence and Security Informatics, July 10-12, 2011, IEEE, Tucson, USA., ISBN: 978-1-4577-0085-9, pp: 7-14.

Cheong, P.H. and J.R. Halverson, 2010. Youths in violent extremist discourse: Mediated identifications and interventions. Stud. Conflict Terrorism, 33: 1104-1123.
Direct Link  |  

DHS., 2015. Countering violent extremism. The Department of Homeland Security., Southwest, Washington. http://www.dhs.gov/topic/countering-violent-extremism.

Kerdvibulvech, C., 2015. An Innovative use of Multidisciplinary Applications between Information Technology and Socially Digital Media for Connecting People. Proceedings of the 2nd International Conference on Multidisciplinary Social Networks Research, September 1-3, 2015, Springer, Berlin, Germany, pp: 60-69.

Partala, T. and A. Kallinen, 2012. Understanding the most satisfying and unsatisfying user experiences: Emotions, psychological needs and context. Interacting Comput., 24: 25-34.
Direct Link  |  

Reid, E., 2009. Analysis of Jihadi extremist groups' videos. Forensic Sci. Commun., Vol. 11,

Rieger, D., L. Frischlich and G. Bente, 2013. Propaganda 2.0: Psychological effects of right-wing and Islamic extremist internet videos. Luchterhand, Munich, Germany.

Sabbah, T. and A. Selamat, 2015. Hybridized Feature Set for Accurate Arabic Dark Web Pages Classification. In: Intelligent Software Methodologies, Tools and Techniques, Fujita, H. and G. Guizzi (Eds.). Springer, Berlin, Germany, pp: 175-189.

Sauffiyan, A. and A.M. Lokman, 2013. The many facades of religious extremism: A theoretical investigation of the unsolved and recurring conflict. Proceedings of the 2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M), March 26-27, 2013, IEEE, Selangor, Malaysia, ISBN: 978-1-4799-0136-4, pp: 1-6.

Shang, Y., 2014. Consensus formation of two-level opinion dynamics. Acta Math. Sci., 34: 1029-1040.
Direct Link  |  

Vergani, M. and D. Zuev, 2011. Analysis of YouTube videos used by activists in the uyghur nationalist movement: Combining quantitative and qualitative methods. J. Contemp. China, 20: 205-229.
Direct Link  |  

Winkler, C.K. and C.E. Dauber, 2014. Visual propaganda and extremism in the online environment. Master Thesis, United States Army War College, Carlisle, Pennsylvania.