IDENTIFYING AND PREVENTING THE DISSEMINATION OF FAKE NEWS

Abstract

Misinformation poses a significant threat to democratic societies, particularly in today’s interconnected digital world, as it has the potential to shape public opinion. Researchers from various disciplines, including computer science, political science, information science, and linguistics, have been investigating the spread of fake news, methods for detecting it, and strategies to mitigate its impact. However, effectively identifying and preventing the dissemination of false information remains a complex endeavor. Given the increasing role of Artificial Intelligence (AI) systems, it is vital to offer clear and user – ,bfriendly explanations for the decisions made by fake news detectors, particularly on social media platforms. Therefore, this paper conducts a systematic analysis of the latest approaches employed to detect and combat the spread of fake news. By examining these approaches, we uncover key challenges and propose potential future research directions, with a particular emphasis on integrating AI explain ability into fake news credibility systems.