TRIVALENT

EU H2020 project to develop advanced method for detecting and measuring violent radicalisation behaviour on social media.

TRIVALENT is a H2020 funded project which aims to a better understanding of root causes of the phenomenon of violent radicalisation in Europe in order to develop appropriate countermeasures, ranging from early detection methodologies to techniques of counter-narrative.

Partners

• UNIROMA3
• Madrid Municipal Police
• UPM
• Viseo Technologies
• Università Cattolica di Milano
• Zanasi & Partners
• Royal Military Academy in Belgium
• Local Police Voorkempen (Belgium)
• Ministero della Giustizia – Polizia Penitenziaria
• Regional Police Headquarters in Radom (Poland)
• Tecoms
• IDC Herzliya Center
• Bureau of Prevention of the National Police in Poland
• Ministry of the Interior – Department of Public Security (Italy)
• The State Police of Latvia
• Portuguese Prison and Probation Service
• Local Police of Turin
• Expert System Iberia
• Provincial Police Headquarters in Gdansk (Poland)
• Albanian State Police

Kiran Parmar

Tracie Farrell

Fernandez, M. and Alani, H. (2018) Contextual Semantics for Radicalisation Detection on Twitter, Workshop: Semantic Web for Social Good Workshop (SW4SG) at International Semantic Web Conference 2018, CEUR

Fernandez, M., Asif, M. and Alani, H. (2018) Understanding the Roots of Radicalisation on Twitter, In WebSci '18: 10th ACM Conference on Web Science, Amsterdam, Netherlands, ACM (Association for Computing Machinery)

Saif, H., Dickinson, T., Kastler, L., Fernandez, M. and Alani, H. (2017) A Semantic Graph-Based Approach for Radicalisation Detection on Social Media, Proc. Int. Extended Semantic Web Conference (ESWC), Portorož, Slovenia, 10249, pp. 571-587, Springer