Credible Influence Analysis in Mass Media Using Causal Inference
Deng ZZ(邓紫臻)1,2; Zheng XL(郑晓龙)1,2; Cai Z(蔡震)3; Ceng DJ(曾大军)1,2
2021-11
会议名称IEEE International Conference on Intelligence and Security Informatics (ISI)
会议日期02-03 November 2021
会议地点San Antonio, TX, USA
摘要

The mass media has recorded major events around the world for a long time, which is very helpful in describing the dynamic changes in all aspects of human society, including the analysis of national influence using news data. Due to the publicity and significance of mass media, the results of influence analysis must be reliable. However, the current most influence analysis methods are mainly concentrated on social media networks and cannot simply be transferred to mass media. Due to the causality as the main driving factor of influence, we introduced the causal inference method convergent cross mapping, combined with the existing general influence analysis method, proposed a credible influence analysis method in mass media. This method can filter out non-causal influences, making the results more credible. We conducted experiments on the GDELT datasets, and the results proved the effectiveness and reliability of the proposed credible influence analysis in mass media.

收录类别EI
语种英语
七大方向——子方向分类社会计算
国重实验室规划方向分类面向复杂社会系统的人机混合智能
是否有论文关联数据集需要存交
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/57477
专题多模态人工智能系统全国重点实验室_互联网大数据与信息安全
通讯作者Zheng XL(郑晓龙)
作者单位1.中国科学院自动化研究所
2.中国科学院大学
3.华北电力大学
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Deng ZZ,Zheng XL,Cai Z,et al. Credible Influence Analysis in Mass Media Using Causal Inference[C],2021.
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