April 3, 2024, 4:46 a.m. | Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Jiacheng Liu, Xi Zhang, Chaozhuo Li

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.01336v1 Announce Type: new
Abstract: Existing benchmarks for fake news detection have significantly contributed to the advancement of models in assessing the authenticity of news content. However, these benchmarks typically focus solely on news pertaining to a single semantic topic or originating from a single platform, thereby failing to capture the diversity of multi-domain news in real scenarios. In order to understand fake news across various domains, the external knowledge and fine-grained annotations are indispensable to provide precise evidence and …

arxiv cs.ai cs.cl cs.mm dataset domain fake fake news fine-grained knowledge type

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