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    Understanding the Language of ISIS: An Empirical Approach to Detect Radical Content on Twitter Using Machine Learning

    Zia Ul Rehman1,2, Sagheer Abbas1, Muhammad Adnan Khan3,*, Ghulam Mustafa2, Hira Fayyaz4, Muhammad Hanif1,2, Muhammad Anwar Saeed5

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1075-1090, 2021, DOI:10.32604/cmc.2020.012770

    Abstract The internet, particularly online social networking platforms have revolutionized the way extremist groups are influencing and radicalizing individuals. Recent research reveals that the process initiates by exposing vast audiences to extremist content and then migrating potential victims to confined platforms for intensive radicalization. Consequently, social networks have evolved as a persuasive tool for extremism aiding as recruitment platform and psychological warfare. Thus, recognizing potential radical text or material is vital to restrict the circulation of the extremist chronicle. The aim of this research work is to identify radical text in social media. Our contributions are as follows: (i) A new… More >

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