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With emerging topics (e.g., COVID-19) on social media as a source for the spreading misinformation, overcoming the distributional shifts between the original training domain (i.e., source domain) and such target domains remains a non-trivial task for misinformation detection.
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NLP-based feature extraction for the detection of COVID-19 misinformation videos on YouTube
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Anti-vax: a novel twitter dataset for covid-19 vaccine misinformation detection
Kadhim Hayawi, Sakib Shahriar, Mohamed Adel Serhani, Ikbal Taleb, and Sujith Samuel Mathew. 2022 · 2022
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Fake news detection via knowledgeable prompt learning
Gongyao Jiang, Shuang Liu, Yu Zhao, Yueheng Sun, and Meishan Zhang. 2022 · 2022
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Tianyi Lei, Honghui Hu, Qiaoyang Luo, Dezhong Peng, and Xu Wang. 2022 · 2022
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Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, and Chen Guang. 2022 · 2022
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Meta-learning for few-shot NMT adaptation
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Nguyen Vo and Kyumin Lee. 2020 · 2020
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Erik Brand, Kevin Roitero, Michael Soprano, and Gianluca Demartini. 2021 · 2021
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A heuristic-driven ensemble framework for covid-19 fake news detection
Sourya Dipta Das, Ayan Basak, and Saikat Dutta. 2021 · 2021
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Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao, and Aoying Zhou. 2021 · 2021
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Domain adaptive fake news detection via reinforcement learning
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Connect, not collapse: Explaining contrastive learning for unsupervised domain adaptation
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Xueqing Wu, Kung-Hsiang Huang, Yi Fung, and Heng Ji. 2022b · 2022
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Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, and Guoren Wang. 2022 · 2022
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Contrastive domain adaptation for early misinformation detection: A case study on covid-19
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, and Dong Wang. 2022 · 2022
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Unsupervised domain adaptation for covid-19 information service with contrastive adversarial domain mixup
Huimin Zeng, Zhenrui Yue, Ziyi Kou, Lanyu Shang, Yang Zhang, and Dong Wang. 2022 · 2022
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Reinforcement learning-based counter-misinformation response generation: A case study of covid-19 vaccine misinformation
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