Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection

Social platforms, while facilitating access to information, have also become saturated with a plethora of fake news, resulting in negative consequences. Automatic multimodal fake news detection is a worthwhile pursuit. Existing multimodal fake news datasets only provide binary labels of real or fake. However, real news is alike, while each fake news is fake in its own way. These datasets fail to reflect the mixed nature of various types of multimodal fake news. To bridge the gap, we construct an attributing multi-granularity multimodal fake news detection dataset AMG, revealing the inherent fake pattern. Furthermore, we propose a multi-granularity clue alignment model MGCA to achieve multimodal fake news detection and attribution. Experimental results demonstrate that AMG is a challenging dataset, and its attribution setting opens up new avenues for future research.

Authors

• Hao Guo Laboratory for Big Data and Decision, Nation University of Defense Technology,
• Zihan Ma School of Computer Science and Technology, Xi’an Jiaotong University, Ministry of Education Key Laboratory of Intelligent Networks and Network Security, Xi’an Jiaotong University. Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi’an Jiaotong University.
• Zhi Zeng School of Computer Science and Technology, Xi’an Jiaotong University, Ministry of Education Key Laboratory of Intelligent Networks and Network Security, Xi’an Jiaotong University. Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi’an Jiaotong University.
• Minnan Luo School of Computer Science and Technology, Xi’an Jiaotong University, Ministry of Education Key Laboratory of Intelligent Networks and Network Security, Xi’an Jiaotong University. Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi’an Jiaotong University.
• Weixin Zeng Laboratory for Big Data and Decision, Nation University of Defense Technology
• Jiuyang Tang Laboratory for Big Data and Decision, Nation University of Defense Technology
• Xiang Zhao National University of Defense Technology

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