In this deliverable, the patterns extracted in T3.4 will be fully described and discussed, to detail their nature, commonality, and contexts.
This deliverable will capture the major works on analysing radicalisation online, and on social media in particular.
This deliverable will highlight contents and channels used by extremist groups for spreading their narratives and how these affects their selected target audience.
Report outlining the results of the comparative analysis of existing counter-radicalisation policies and identify a series of best practices and lessons learned.
Report investigating the current relationship between LEAs and civil society, identifying relevant gaps and good practices.
Report providing a set of policy recommendations targeting various stakeholders involved in counter-radicalisation efforts.
A brief document, with a captivating graphic design, to spread the project results among stakeholders.
Report to summarise the conclusions of the final event.
Report summarising the findings of the analysis of existing literature on radicalisation.
This deliverable will describe the communication effort based on the proposed set of counter-narratives, defining timing, sources, messages and proper dissemination channels.
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Author(s): Miriam Fernandez, A. Elizabeth Cano, Harith Alani
Published in: Social Informatics, Issue 8852, 2015, Page(s) 18-26
Author(s): Hassan Saif, Thomas Dickinson, Leon Kastler, Miriam Fernandez, Harith Alani
Published in: The Semantic Web, Issue 10249, 2017, Page(s) 571-587
Author(s): Miriam Fernandez, Moizzah Asif, Harith Alani
Published in: Proceedings of the 10th ACM Conference on Web Science - WebSci '18, 2018, Page(s) 1-10