TwiBot-22: Towards Graph-Based Twitter Bot Detection. - Shangbin Feng; Zhaoxuan Tan; Herun Wan; Ningnan Wang; Zilong Chen; Binchi Zhang; Qinghua Zheng; Wenqian Zhang; Zhenyu Lei 004; Shujie Yang; Xinshun Feng; Qingyue Zhang; et al. (NeurIPS, 2022)

Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection. - Zihan Ma 001; Minnan Luo; Hao Guo; Zhi Zeng; Yiran Hao; Xiang Zhao 002 (ACL (1), 2024)

Learning Multimodal Attention Mixed with Frequency Domain Information as Detector for Fake News Detection. - Zihan Ma 001; Huan Liu 012; Zhi Zeng; Hao Guo; Xiang Zhao 002; Minnan Luo (ICME, 2024)

Mitigating World Biases: A Multimodal Multi-View Debiasing Framework for Fake News Video Detection. - Zhi Zeng; Minnan Luo; Xiangzheng Kong; Huan Liu 012; Hao Guo; Hao Yang 042; Zihan Ma 001; Xiang Zhao 002 (ACM Multimedia, 2024)

How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis. - Herun Wan; Minnan Luo; Zihan Ma 001; Guang Dai; Xiang Zhao 002 (CoRR, 2024)

Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection. - Hao Guo; Zihan Ma 001; Zhi Zeng; Minnan Luo; Weixin Zeng; Jiuyang Tang; Xiang Zhao 002 (AAAI, 2025)

IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection. - Zhi Zeng; Jiaying Wu; Minnan Luo; Herun Wan; Xiangzheng Kong; Zihan Ma 001; Guang Dai; Qinghua Zheng (ACL (1), 2025)

Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful Recommendations. - Zihan Ma 001; Minnan Luo; Yiran Hao; Zhi Zeng; Xiangzheng Kong; Jiahao Wang 004 (SIGIR, 2025)