Microblog-HAN: A micro-blog rumor detection model based on heterogeneous graph attention network

doi:10.1371/journal.pone.0266598

	Microblog-HAN: A micro-blog rumor detection model based on heterogeneous graph attention network
	Bi, Bei 1,2; Wang, Yaojun 1; Zhang, Haicang 3,4; Gao, Yang 5
	2022
发表期刊	PLOS ONE
ISSN	1932-6203
卷号	17 期号:4 页码:18
摘要	Although social media has highly facilitated people's daily communication and dissemination of information, it has unfortunately been an ideal hotbed for the breeding and dissemination of Internet rumors. Therefore, automatically monitoring rumor dissemination in the early stage is of great practical significance. However, the existing detection methods fail to take full advantage of the semantics of the microblog information propagation graph. To address this shortcoming, this study models the information transmission network of a microblog as a heterogeneous graph with a variety of semantic information and then constructs a Microblog-HAN, which is a graph-based rumor detection model, to capture and aggregate the semantic information using attention layers. Specifically, after the initial textual and visual features of posts are extracted, the node-level attention mechanism combines neighbors of the microblog nodes to generate three groups of node embeddings with specific semantics. Moreover, semantic-level attention fuses different semantics to obtain the final node embedding of the microblog, which is then used as a classifier's input. Finally, the classification results of whether the microblog is a rumor or not are obtained. The experimental results on two real-world microblog rumor datasets, Weibo2016 and Weibo2021, demonstrate that the proposed Microblog-HAN can detect microblog rumors with an accuracy of over 92%, demonstrating its superiority over the most existing methods in identifying rumors from the view of the whole information transmission graph.
DOI	10.1371/journal.pone.0266598
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[72171005]
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000790519000034
出版者	PUBLIC LIBRARY SCIENCE
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/19527
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Gao, Yang
作者单位	1.China Agr Univ, Coll Informat & Elect Engn, Beijing, Peoples R China 2.Beijing Inst Technol, Sch Comp Sci & Technol, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China 4.Zhongke Big Data Acad, Zhengzhou, Henan, Peoples R China 5.Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Bi, Bei,Wang, Yaojun,Zhang, Haicang,et al. Microblog-HAN: A micro-blog rumor detection model based on heterogeneous graph attention network[J]. PLOS ONE,2022,17(4):18.
APA	Bi, Bei,Wang, Yaojun,Zhang, Haicang,&Gao, Yang.(2022).Microblog-HAN: A micro-blog rumor detection model based on heterogeneous graph attention network.PLOS ONE,17(4),18.
MLA	Bi, Bei,et al."Microblog-HAN: A micro-blog rumor detection model based on heterogeneous graph attention network".PLOS ONE 17.4(2022):18.