Descrizione del progetto
Individuare la radicalizzazione violenta online con l’estrazione di testi
Di fronte al crescente numero di attacchi terroristici compiuti da individui radicalizzati attraverso la propaganda terroristica su Internet, i fornitori di social media non dispongono di uno strumento adeguato per identificare i contenuti online legati al terrorismo. Attualmente, per rintracciare gli account radicalizzati, si affidano a strumenti proprietari di lotta allo spam, alle segnalazioni degli utenti e all’analisi umana. Per risolvere questo problema, Insikt Intelligence ha sviluppato una piattaforma di estrazione di dati sociali chiamata INSIKT per individuare la radicalizzazione violenta online. Il progetto INSIKT, finanziato dall’UE, si propone di migliorare e integrare la piattaforma con strumenti che aiutino le forze dell’ordine a identificare i contenuti radicali, i messaggi sospetti e la radicalizzazione nascosta, il tutto attraverso sofisticati algoritmi di estrazione di testi.
Obiettivo
In 2015-2016, 20+ terrorist attacks occurred in EU28, all of them carried out by individuals radicalized by terrorist propaganda. Recruitment of this new breed of terrorists was done via social media and the Internet.
To prevent such events from happening in the future and fight radicalization, it is crucial to detect cyberpropaganda early. However, social media providers (e.g. Twitter) admit that at the moment there is no adequate tool to identify terrorist-related content on the Internet. As the result, they are forced to rely on proprietary spam-fighting tools, user reports and human analysis to track down radicalized accounts that promote terrorism.
Insikt Intelligence is a Spanish SME led by the EYIF 2016 Female Web Entrepreneur finalist that developed INSIKT, a novel social data mining platform to detect & defeat violent online radicalization. An early version of INSIKT was validated by several EU law enforcement agencies (LEAs), approved and attracted commercial interest. This Phase 2 project will trial INSIKT at 4 European LEAs that are looking for effective tools to prevent radical messages from spreading and reaching people vulnerable to radicalization.
INSIKT provides a novel solution for LEA analysts to detect terrorist propaganda on all social media: it identifies radical content, suspicious messages and covert radicalization process with the help of sophisticated text mining algorithms. INSIKT relies on deep learning to develop automatically new models which can be used to detect other criminal activity as well. INSIKT is fit to become an important new tool in LEAs’ investigation and evidence gathering arsenal, giving them highly accurate, multilingual and real-time detection capabilities.
This project will allow us to improve INSIKT, integrate it with existing LEA tools and commercialize it, addressing the needs of the €60+B security market, with the effect of creating 50+ jobs and €11.7M annual revenue within 5 years from market launch.
Campo scientifico
- social sciencespolitical sciencespolitical transitionsterrorism
- social scienceseconomics and businessbusiness and managemententrepreneurship
- social scienceslawlaw enforcement
- natural sciencescomputer and information sciencesdata sciencedata mining
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Programma(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEINST-2-2016-2017
Meccanismo di finanziamento
SME-2 - SME instrument phase 2Coordinatore
08020 Barcelona
Spagna
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.