情报杂志2024，Vol.43Issue(10)：127-133,175,8.DOI:10.3969/j.issn.1002-1965.2024.10.017
基于领域信息和自定义门控网络的网络谣言实时检测方法
Real-Time Detection of Online Rumors Based on Domain Information and Customized Gate Control Network
摘要
Abstract
[Research purpose]The spread of online rumors disrupts social order and stability.Improving real-time rumor detection accu-racy helps public security agencies manage these rumors and maintain an orderly online environment.[Research method]We propose CGCRD,a real-time detection model based on domain information and customized gate control network.The model treats detection tasks in various domains as separate tasks,using rumor content features and supplemental domain information.Shared and unique experts focus on personalized information,generalized information in different domains are used to generate more information gains.The final embedded representation is obtained by merging domain,shared,and unique features to determine whether the content is a rumor.[Research con-clusion]RUM-PC23,a Chinese multi-domain rumor dataset for network security management,is developed.Experimental results show that CGCRD meets the real-time and accuracy requirements of public security agencies and outperforms current baseline models.关键词
网络谣言/谣言检测/领域信息/多任务学习/自定义门控网络/CGCRD/RUM-PC23Key words
online rumors/rumor detection/domain information/multi-task learning/customized gate control network/CGCRD/RUM-PC23分类
信息技术与安全科学引用本文复制引用
安全,徐国天..基于领域信息和自定义门控网络的网络谣言实时检测方法[J].情报杂志,2024,43(10):127-133,175,8.基金项目
辽宁省自然科学基金课题(编号:2022-MS-168) （编号:2022-MS-168）
中国刑事警察学院研究生创新能力提升项目"基于领域特征的网络谣言检测方法研究"(编号:2023YCYB34)研究成果. （编号:2023YCYB34）
