Microblog-HAN: A micro-blog rumor detection model based on heterogeneous graph attention network
文献类型：期刊论文
| 作者 | Bi, Bei3,4; Wang, Yaojun3; Zhang, Haicang1,5; Gao, Yang2 |
| 刊名 | PLOS ONE
 |
| 出版日期 | 2022 |
| 卷号 | 17期号:4页码:18 |
| ISSN号 | 1932-6203 |
| DOI | 10.1371/journal.pone.0266598 |
| 英文摘要 | 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. |
| 资助项目 | National Natural Science Foundation of China[72171005] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| 出版者 | PUBLIC LIBRARY SCIENCE |
| WOS记录号 | WOS:000790519000034 |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/19526]  |
| 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.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China 2.Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China 3.China Agr Univ, Coll Informat & Elect Engn, Beijing, Peoples R China 4.Beijing Inst Technol, Sch Comp Sci & Technol, Beijing, Peoples R China 5.Zhongke Big Data Acad, Zhengzhou, Henan, 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. |
入库方式： OAI收割
来源：计算技术研究所
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