machine learning
The Ghost in the Machine: Counterterrorism in the Age of Artificial Intelligence
May 7, 2026In the aftermath of 9/11 security agencies augmented their counterterrorism (CT) apparatuses with advanced analytics, machine learning (ML), and artificial intelligence (AI) to improve their ability to identify and neutralize terrorists. Under this regime, humans remained the central actors, tasked with understanding information and crafting a response. The advent of Generative AI (GenAI) changes this ...
Crowdsourcing geographic information for terrorism-related disaster awareness and mitigation: perspectives and challenges
January 23, 2025This systematic review explores the utilization of crowdsourcing for geoinformation in enhancing awareness and mitigating terrorism-related disasters. Out of 519 studies identified in the database search, 108 were deemed eligible for analysis. We focused on articles employing various forms of crowdsourcing platforms, such as Twitter (now known as X), Facebook, and Telegram, across three distinct ...
Challenges of Deplatforming Extremist Online Movements: A Machine-Learning Approach
December 5, 2024Online extremist movements are increasingly using social media communities to share content, spread their ideologies, recruit members, and mobilize offline activities. In recent years, mainstream platforms, including Twitter and Facebook, have adopted policies to remove or deplatform some of these movements. Yet online extremists are well-known for their abilities to adapt, self-censor, and migrate across ...
Predicting Violent Extremism with Machine Learning: A Scoping Review
December 3, 2024The purpose of this scoping review is to highlight the machine learning tools used in research to address and prevent violent extremism. To achieve this goal, the following objectives guide this study: (1) describe outcomes that have been studied; (2) summarize the data sources used; and (3) determine whether the reporting of machine learning predictive ...
Multi-Ideology, Multiclass Online Extremism Dataset, and Its Evaluation Using Machine Learning
October 29, 2024Social media platforms play a key role in fostering the outreach of extremism by influencing the views, opinions, and perceptions of people. These platforms are increasingly exploited by extremist elements for spreading propaganda, radicalizing, and recruiting youth. Hence, research on extremism detection on social media platforms is essential to curb its influence and ill effects. ...
‘Terrorism Informatics’ Part IV: Predicting Extremist Behaviour
August 8, 2024VOX-Pol Blog Post. ...
‘Terrorism Informatics’ Part II: Identifying Extremist Networks
August 8, 2024VOX-Pol Blog Post. ...