Real-Time Detection of Online Rumors Based on Domain Information and Customized Gate Control Network
[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.
online rumorsrumor detectiondomain informationmulti-task learningcustomized gate control networkCGCRDRUM-PC23
国家科技期刊平台
NSTL
万方数据
