Social Network
Social network analysis investigates the structure and dynamics of interconnected individuals or entities, aiming to understand information diffusion, influence propagation, and collective behavior. Current research focuses on developing sophisticated models, including graph neural networks, Markov decision processes, and large language models, to analyze diverse aspects such as misinformation detection, opinion dynamics, and recommendation systems. These advancements have significant implications for various fields, improving our understanding of social phenomena and enabling the development of more effective tools for combating online harms and enhancing user experience on social media platforms.
Papers
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
Renshuai Tao, Manyi Le, Chuangchuang Tan, Huan Liu, Haotong Qin, Yao Zhao
Health Misinformation in Social Networks: A Survey of IT Approaches
Vasiliki Papanikou, Panagiotis Papadakos, Theodora Karamanidou, Thanos G. Stavropoulos, Evaggelia Pitoura, Panayiotis Tsaparas