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Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognition., , , and . Inf. Process. Manag., 58 (5): 102631 (2021)MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection., , , , and . AACL/IJCNLP (Findings), page 464-477. Association for Computational Linguistics, (2022)What the fake? Probing misinformation detection standing on the shoulder of novelty and emotion., , , and . Inf. Process. Manag., 59 (1): 102740 (2022)Multilingual Hate Speech and Offensive Language Detection., , , and . OCIT, page 660-664. IEEE, (2023)Stock Market Price Prediction Using GRU and XGB., , , , , and . OCIT, page 352-357. IEEE, (2023)Emotion aided multi-task framework for video embedded misinformation detection., , , , and . Multim. Tools Appl., 83 (12): 37161-37185 (April 2024)Identifying multimodal misinformation leveraging novelty detection and emotion recognition., , , , and . J. Intell. Inf. Syst., 61 (3): 673-694 (December 2023)A Multitask Learning Approach for Fake News Detection: Novelty, Emotion, and Sentiment Lend a Helping Hand., , , and . IJCNN, page 1-8. IEEE, (2021)AMFB: Attention based multimodal Factorized Bilinear Pooling for multimodal Fake News Detection., and . Expert Syst. Appl., (2021)Multilingual Code-Mixed Sentiment Analysis in Hate Speech., , , , , and . Scalable Comput. Pract. Exp., 24 (4): 873-882 (November 2023)