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Expand Up @@ -1057,6 +1057,16 @@ In the follow up multimodal survey, we extends the first stage with a claim extr
[[Paper]](https://arxiv.org/pdf/2405.03371)
[[Code]](https://github.com/wangbo9719/L-Defense_EFND)
![](https://img.shields.io/badge/WWW%202024-blue)
* Countering Misinformation via Emotional Response Generation (Russo et al., 2023)
[[Paper]](https://aclanthology.org/2023.emnlp-main.703/)
[[Code]](https://github.com/marcoguerini/VerMouth)
[[Dataset]](https://github.com/marcoguerini/VerMouth)
![](https://img.shields.io/badge/EMNLP%202023-orange)
* Benchmarking the Generation of Fact Checking Explanations (Russo et al., 2023)
[[Paper]](https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00601/117871/Benchmarking-the-Generation-of-Fact-Checking)
[[Code]](https://github.com/LanD-FBK/benchmark-gen-explanations)
[[Dataset]](https://github.com/LanD-FBK/benchmark-gen-explanations)
![](https://img.shields.io/badge/TACL%202023-orange)
* “Why is this misleading?”: Detecting News Headline Hallucinations with Explanations (Shen et al., 2023)
[[Paper]](https://arxiv.org/pdf/2212.01060.pdf)]
![](https://img.shields.io/badge/AAAI%202023-purple)
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