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Evidence data for automated fact-checking (AFC) can be in multiple modalities such as text, tables, images, audio, or video.
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Explainable automated fact-checking for public health claims
Neema Kotonya and Francesca Toni. 2020 · 2020
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J Perkel. 2020 · 2020
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SemEval-2021 task 9: Fact verification and evidence finding for tabular data in scientific documents (SEM-TAB-FACTS)
Nancy X. R. Wang, Diwakar Mahajan, Marina Danilevsky, and Sara Rosenthal. 2021a · 2021
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Semeval-2021 task 9: Fact verification and evidence finding for tabular data in scientific documents (SEM-TAB-FACTS)
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Disinfomeme: A multimodal dataset for detecting meme intentionally spreading out disinformation
Jingnong Qu, Liunian Harold Li, Jieyu Zhao, Sunipa Dev, and Kai-Wei Chang. 2022 · 2022
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Detecting and understanding harmful memes: A survey
Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, and Tanmoy Chakraborty. 2022 · 2022
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Scientific chart summarization: Datasets and improved text modeling
Hao Tan, Chen-Tse Tsai, Yujie He, and Mohit Bansal. 2022 · 2022
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End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models
Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, and Lifu Huang. 2022 · 2022
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Fact-checking meets fauxtography: Verifying claims about images
Dimitrina Zlatkova, Preslav Nakov, and Ivan Koychev. 2019 · 2099
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