Knowledge Commons of Institute of Automation,CAS
Credible Influence Analysis in Mass Media Using Causal Inference | |
Deng ZZ(邓紫臻)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 | 否 |
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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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Credible Influence A(716KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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