Cheng Xu

As we live in the era dominated by the internet, the exponential growth of information has led to the proliferation of fake news, posing significant challenges to various sectors such as politics, business, social ethics, etc. Despite considerable efforts in fake news detection, the problem remains multifaceted and elusive due to its extensive influence, rapid dissemination, and diverse representational dimensions. Addressing this challenge necessitates a multidisciplinary approach, leveraging insights from fields such as Data Science, Behavioral Science, Communication and Computer Science. My Ph.D. project aims to develop a robust false information recognition system capable of processing various modalities, including text, context, and multimedia content, to detect fake news effectively. The integration of fuzzy logic enhances the interpretability of decision-making processes, particularly in handling ambiguous inputs and outputs. The research questions guiding this project focus on the effective development and implementation of a comprehensive multimodal fake news detection system, suitable methods for integrating diverse modalities, and the role of fuzzy logic in enhancing interpretability and reliability. The culmination of this research is expected to contribute significantly to the refinement and improvement of fake news detection, ultimately fostering a more trustworthy information ecosystem.