Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach

CASIA OpenIR > 智能感知与计算研究中心

	Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach
	Liu, Qiang1,2 ; Wu, Shu1,2 ; Wang, Liang1,2
发表期刊	ACM Transactions on Intelligent Systems and Technology
	2018-04
卷号	9 期号:5 页码:50
摘要	With the rapid growth of social media, massive misinformation is also spreading widely on social media, such as Weibo and Twitter, and brings negative effects to human life. Nowadays, automatic misinformation identification has drawn attention from academic and industrial communities. For an event on social media usually consists of multiple microblogs, current methods are mainly constructed based on global statistical features. However, information on social media is full of noisy, which should be alleviated. Moreover, most of microblogs about an event have little contribution to the identification of misinformation, where useful information can be easily overwhelmed by useless information. Thus, it is important to mine significant microblogs for constructing a reliable misinformation identification method. In this paper, we propose an Attention-based approach for Identification of Misinformation (AIM). Based on the attention mechanism, AIM can select microblogs with largest attention values for misinformation identification. The attention mechanism in AIM contains two parts: content attention and dynamic attention. Content attention is calculated based textual features of each microblog. Dynamic attention is related to the time interval between the posting time of a microblog and the beginning of the event. To evaluate AIM, we conduct a series of experiments on the Weibo dataset and the Twitter dataset, and the experimental results show that the proposed AIM model outperforms the state-of-the-art methods.
关键词	Misinformation Identification Attention Model Social Media Significant Microblogs
WOS记录号	WOS:000463797000002
引用统计	被引频次：16[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/20942
专题	智能感知与计算研究中心
作者单位	1.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Liu, Qiang,Wu, Shu,Wang, Liang. Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach[J]. ACM Transactions on Intelligent Systems and Technology,2018,9(5):50.
APA	Liu, Qiang,Wu, Shu,&Wang, Liang.(2018).Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach.ACM Transactions on Intelligent Systems and Technology,9(5),50.
MLA	Liu, Qiang,et al."Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach".ACM Transactions on Intelligent Systems and Technology 9.5(2018):50.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
a50-liu.pdf（707KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载