计算机工程与应用2025，Vol.61Issue(22)：183-195,13.DOI:10.3778/j.issn.1002-8331.2408-0259
多维度多智能体分组讨论的虚假新闻检测方法
Multi-Dimensional and Multi-Agent Group Discussion Method for Fake News Detection
摘要
Abstract
The rapid development of large language model technology has shown great potential for application in fake news detection tasks.However,due to the high complexity of reasoning involved in fake news detection,existing methods struggle to accurately perform inferential judgments.This paper simulates the multi-dimensional perception of news by humans and proposes a fake news detection method based on multi-dimensional and multi-agent group discussions.This framework breaks down fake news detection into three multiple-choice reading comprehension sub-tasks,thereby reducing the difficulty of the reasoning process.It designs a multi-agent group discussion strategy to execute subtasks,and uses soft classification scoring to summarize and compare the subtask results of different viewpoints to complete the final classifica-tion.This method achieves F1 scores of 0.943 and 0.878 on the FAKENEWSAMT and CELEBRITY datasets,respectively,demonstrating superior detection performance compared to previous detection methods based on large language models.关键词
多智能体/虚假新闻检测/大语言模型/自然语言处理Key words
multi-agent/fake news detection/large language model/natural language processing分类
信息技术与安全科学引用本文复制引用
许旻辰,屈丹,司念文,彭思思,刘云鹏..多维度多智能体分组讨论的虚假新闻检测方法[J].计算机工程与应用,2025,61(22):183-195,13.基金项目
国家自然科学基金(62171470) （62171470）
河南省中原科技创新领军人才资助项目(234200510019) （234200510019）
河南省自然科学基金面上项目(232300421240). （232300421240）
