Titre: Mitigation Strategies against Misinformation Diffusion in Social Networks

Abstract: Misinformation poses a significant threat to modern society, creating confusion and division, and even endangering public health and safety. To tackle this problem, we’re developing cutting-edge graph-based algorithms that can effectively detect and characterize fake news propagation on social networks. By analyzing the patterns of information diffusion, our goal is to classify and identify information cascades, ensuring the accuracy and reliability of information on these platforms.