Developing Natural Language Processing Algorithms to Fact-Check Speech or Text

Natural Language Processing (NLP) is pivotal in the fight against misinformation, offering tools to process and analyze both text and speech. This paper presents the development of NLP algorithms specifically designed for fact-checking, leveraging the capabilities of Question-Answering (QA) systems and knowledge graphs. We conduct a comprehensive analysis of existing QA systems, propose enhancements for fact-checking, and validate our approach through comparative studies. Our findings contribute to the ongoing efforts to improve the reliability of information in the digital age.