Addressing Disinformation and Deep Fakes Spread through AI-fuelled International Collaboration

In the current era of digital transformation, the nature of criminal activities has undergone significant evolution, with cybercrime and terrorism presenting intricate challenges to Law Enforcement Authorities (LEAs). These challenges are compounded by the utilization of digital tools by criminals to accomplish their objectives. The widespread use of social networks, the vastness of the deep and shallow web, and the substantial amount of data accessible online have become means for illicit activities such as disinformation, hate speech, deepfakes, and the cultivation of mistrust. Concurrently, advancements in Big Data (BD) and Artificial Intelligence (AI) technologies provide opportunities to augment the capabilities of LEAs in identifying and countering such activities. This paper presents a conceptual framework aimed at enhancing evidence collection and facilitating global security information exchange and cooperation. The objective is to create a safer world by mitigating hate speech, disinformation, deepfakes, and related practices, thereby fostering resilient societies and promoting justice and the rule of law. The framework is grounded in technological solutions, including mining and intelligence operations on both the dark and surface web, decision support systems, sentiment analysis for LEAs investigations and polarity assessment, as well as behavioral analysis for correlating actors, events, patterns, and motifs in the dissemination of disinformation, deepfakes, and hate speech narratives.