Large Language Model Agent for Fake News Detection

arXiv:2405.01593v1 Announce Type: new
Abstract: In the current digital era, the rapid spread of misinformation on online platforms presents significant challenges to societal well-being, public trust, and democratic processes, influencing critical decision making and public opinion. To address these challenges, there is a growing need for automated fake news detection mechanisms. Pre-trained large language models (LLMs) have demonstrated exceptional capabilities across various natural language processing (NLP) tasks, prompting exploration into their potential for verifying news claims. Instead of employing LLMs …

abstract agent arxiv automated challenges cs.ai cs.cl cs.ir current decision decision making democratic detection digital fake fake news language language model large language large language model making misinformation online platforms opinion platforms processes public trust type