Claim Detection

Claim detection focuses on automatically identifying statements requiring fact-checking within text, a crucial first step in combating misinformation. Current research heavily utilizes transformer-based models, often leveraging techniques like fine-tuning, data augmentation, and few-shot prompting, with a growing emphasis on multilingual and multimodal approaches incorporating image data alongside text. This field is vital for improving the efficiency and scalability of fact-checking processes, impacting both the scientific understanding of misinformation and the development of tools to mitigate its spread across various online platforms.