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ChartCheck: Explainable Fact-Checking over Real-World Chart Images
Feb. 19, 2024, 5:46 a.m. | Mubashara Akhtar, Nikesh Subedi, Vivek Gupta, Sahar Tahmasebi, Oana Cocarascu, Elena Simperl
cs.CV updates on arXiv.org arxiv.org
Abstract: Whilst fact verification has attracted substantial interest in the natural language processing community, verifying misinforming statements against data visualizations such as charts has so far been overlooked. Charts are commonly used in the real-world to summarize and communicate key information, but they can also be easily misused to spread misinformation and promote certain agendas. In this paper, we introduce ChartCheck, a novel, large-scale dataset for explainable fact-checking against real-world charts, consisting of 1.7k charts and …
abstract arxiv charts community cs.cl cs.cv data data visualizations fact-checking images information key language language processing natural natural language natural language processing processing type verification world
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