情报杂志2025，Vol.44Issue(6)：158-167,10.DOI:10.3969/j.issn.1002-1965.2025.06.020
基于境外势力广域渗透的负面网络舆情2C卫戍模型构建
Research on the 2C Garrison Model of Network Public Opinion Against the Wide Area Penetration by Foreign Forces
摘要
Abstract
[Research purpose]In light of the covert infiltration by foreign entities utilizing AIGC technology to manipulate online public opinion and disrupt public cognition,this article advocates for enhancing the accuracy of online public sentiment monitoring through the development of robust detection models.[Research method]This article adopts the intervention idea of Cognitive-Contest(2C)to con-struct a conceptual model of 2C garrison.The model focuses on three major goals:influence control,public opinion guidance,and securi-ty protection,and implements the modeling process in combination with advanced technologies such as MLP and GAN.Through the em-pirical research on the"Ailao Mountain"network public opinion event,the application value and effectiveness of the model are tested.[Research result/conclusion]The empirical process showed that the model's analysis of negative network public opinion resulted in a power influence analysis with coefficients ranging between 0.5 and 0.8.It also conveyed cognitive reaction(variable coefficients between 0.5 and 0.9),core control(variable coefficients between 0.5 and 0.8),and intervention demand intensity(variable coefficients between 0.2 and 0.4).Additionally,the model achieved a 59.83％negative public opinion mitigation rate and successfully isolated the growth trends of negative opinions in their nascent stages.The performance experiment results highlighted the advantages of the specific methods applied in the model.These conclusions confirm that the model performs well in practical applications and contributes to risk warning and mitigation efforts.关键词
境外势力/广域渗透/负面网络舆情/认知竞争/卫戍模型Key words
overseas forces/wide area infiltration/negative online public opinion/cognitive contest/garrison model引用本文复制引用
吴琼,钟源,谢守美,杨蕾,石小川..基于境外势力广域渗透的负面网络舆情2C卫戍模型构建[J].情报杂志,2025,44(6):158-167,10.基金项目
国家自然科学基金面上项目"面向多模态推荐系统的动态公平性与数据安全性技术研究"(编号:62272352) （编号:62272352）
教育部人文社会科学规划基金项目"精准新闻推送与我国舆论引导新秩序构建研究"(编号:21YJAZH073)研究成果. （编号:21YJAZH073）
