Title : 
Lessons from a Jihadi Corpus
         
        
            Author : 
Skillicorn, D.B.
         
        
            Author_Institution : 
Sch. of Comput., Queen´s Univ., Kingston, ON, Canada
         
        
        
        
        
        
            Abstract : 
We analyze the posts in the Islamic Awareness forum, using models for frequent words (content), for Salafist-Jihadist language, and for deception. These last two models each produce a single-factor ranking enabling, in each case, the most useful subset of posts to be selected for further analysis. Posts that rank highly for Salafist-Jihadist language rank low for deception, suggesting that faking extremist websites is probably an ineffective strategy. The process described here is a template for analysis of many kinds of open-source corpora where language models of what makes posts interesting are known.
         
        
            Keywords : 
Web sites; natural language processing; public domain software; word processing; Islamic Awareness forum post analysis; Jihadi open-source corpus; Salafist-Jihadist language; content frequencies; extremist Web sites; language deception; single-factor ranking; template analysis; word frequencies; Analytical models; Computational modeling; Conferences; Educational institutions; Matrix decomposition; Periodic structures; Singular value decomposition;
         
        
        
        
            Conference_Titel : 
Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
         
        
            Conference_Location : 
Istanbul
         
        
            Print_ISBN : 
978-1-4673-2497-7
         
        
        
            DOI : 
10.1109/ASONAM.2012.239