News Credibility Evaluation on Microblog with a Hierarchical Propagation Model

被引:104
|
作者
Jin, Zhiwei [1 ,2 ]
Cao, Juan [1 ]
Jiang, Yu-Gang [3 ]
Zhang, Yongdong [1 ]
机构
[1] Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
[3] Fudan Univ, Sch Comp Sci, Shanghai, Peoples R China
来源
2014 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM) | 2014年
关键词
Social media credibility; Microblog; news credibility; rumor detection;
D O I
10.1109/ICDM.2014.91
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Benefiting from its openness, collaboration and real-time features, Microblog has become one of the most important news communication media in modern society. However, it is also filled with fake news. Without verification, such information could spread promptly through social network and result in serious consequences. To evaluate news credibility on Microblog, we propose a hierarchical propagation model. We detect sub-events within a news event to describe its detailed aspects. Thus, for a news event, a three-layer credibility network consisting of event, sub-events and messages can represent it from different scale and reveal vital information for credibility evaluation. After linking these entities with their semantic and social associations, the credibility value of each entity is propagated on this network to achieve the final evaluation result. By formulating this propagation process as a graph optimization problem, we provide a globally optimal solution with an iterative algorithm. Experiments conducted on two real-world datasets show that the proposed model boosts the accuracy by more than 6% and the F-score by more than 16% over a baseline method.
引用
收藏
页码:230 / 239
页数:10
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