A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges

• DOI: 10.1007/s12652-021-03658-z
• Publication Date: 2022-01-12T20:10:06Z
• Authors: Javier Torregrosa; Gema Bello-Orgaz; Eugenio Martínez-...; Javier Del Ser; David Camacho
• Keywords: Intelligence analysis

Extremism has grown as a global problem for society in recent years, especially after the apparition of movements such jihadism. This and other extremist groups have taken advantage different approaches, use Social Media, to spread their ideology, promote acts recruit followers. The discourse, therefore, is reflected on language used by these groups. Natural processing (NLP) provides way detecting this type content, several authors make it describe discriminate discourse held groups, with final objective preventing its spread. Following approach, survey aims review contributions NLP field extremism research, providing reader comprehensive picture state art research area. content includes first conceptualization term extremism, elements that compose an differences terms. After that, description comparison frequently techniques presented, including how they were applied, insights provided, most software tools, descriptive classification applications, availability datasets data sources research. Finally, questions are approached answered highlights from review, while future trends, challenges directions derived suggested towards stimulating further exciting