Feb. 7, 2024, 5:48 a.m. | Qiang Liu Xiang Tao Junfei Wu Shu Wu Liang Wang

cs.CL updates on arXiv.org arxiv.org

In this work, we investigate to use Large Language Models (LLMs) for rumor detection on social media. However, it is challenging for LLMs to reason over the entire propagation information on social media, which contains news contents and numerous comments, due to LLMs may not concentrate on key clues in the complex propagation information, and have trouble in reasoning when facing massive and redundant information. Accordingly, we propose an LLM-empowered Rumor Detection (LeRuD) approach, in which we design prompts to …

contents cs.cl cs.ir detection information key language language models large language large language models llms media propagation reason rumor rumors social social media work

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