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Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection.

, , , , , , and . ACL (industry), page 116-125. Association for Computational Linguistics, (2023)

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Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda., , , , and . CHI, page 582. ACM, (2018)Topology-Preserving Adversarial Training., , , , , , , and . CoRR, (2023)Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer., , , , , , and . COLING, page 2834-2848. International Committee on Computational Linguistics, (2022)Rethinking Image Editing Detection in the Era of Generative AI Revolution., , , , and . CoRR, (2023)Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection., , , , , , and . AAAI, page 22105-22113. AAAI Press, (2024)ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation., , , , and . AAAI, page 14584-14592. AAAI Press, (2023)Progressive Open Space Expansion for Open-Set Model Attribution., , , , , and . CVPR, page 15856-15865. IEEE, (2023)Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models., , , , , and . CoRR, (2024)Interpreting Intelligibility under Uncertain Data Imputation., , , and . IUI Workshops, volume 2068 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration., , , , , , , , , and . CSCW Companion, page 512-517. ACM, (2023)