Law Enforcement Agencies (LEAs) increasingly rely on social media intelligence (SOCMINT), a new field covering a wide range of applications, techniques and capabilities analysing social media data, such as Natural Language Processing (NLP), Social Network Analysis (SNA), Artificial Intelligence (AI) and Complex Event Processing (CEP).
The RED-Alert SOCMINT solution will cover a wide range of social media channels, in particular new channels such as Telegram and Periscope, which are increasingly used by terrorist groups to disseminate their content. It will allow LEAs to take coordinated action in real-time while preserving the privacy of citizens. RED-Alert will outperform state-of-the-art solutions in terms of performance (number of languages supported, number of social media channels mined, and accuracy), usability (visualization, real-time operation, collaboration, development support) and privacy protection.
The main impacts resulting from using the RED-Alert solution are:
- Improved investigation capabilities
- Crimes solved more rapidly, to reduce societal distress, investigative costs and the impact on victims and their relatives
- Prevention of terrorist endeavours
- Better identification and understanding of criminal activities
- LEA officers provided with better tools to help them on their (specialized) daily work
BCU Research Groups
BCU’s Centre for Cyber Security is providing its expertise in the area of digital forensic analysis. The overall focus is to develop a comprehensive cyber investigation toolkit that can provide efficient and reliable analysis results.
Digital Media Technology (DMT) Lab
BCU’s Digital Media Technology (DMT) Lab is researching and developing the RED-Alert Semantic Multimedia Analysis tool. This component of the project draws on the DMT Lab specialism in signal processing and will provide a comprehensive automatic analysis of the image, audio and video content which is disseminated across social media channels.
Research and Development Unit for English Studies (RDUES)
BCU’s Research and Development Unit for English Studies (RDUES) is lending their expertise in large-scale text analysis to the project. RDUES develops software for using the web as a source of linguistic information, including the study of topic, word semantics and linguistic change over time.
European Commission Horizon 2020 (H2020) Programme under Research & Innovation Action H2020-SEC-12-FCT-2016 (Technologies for prevention, investigation, and mitigation in the context of fight against crime and terrorism).
Find out more about the RED-Alert Project