Adaptive Slide Window-Based Feature Cognition for Deceptive Information Identification

doi:10.1109/ACCESS.2020.3011072

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Adaptive Slide Window-Based Feature Cognition for Deceptive Information Identification
	Yang, Haolin 1,2; Xu, Zhiwei 1,2; Liu, Limin 1; Tian, Jie 3; Zhang, Yujun 2
刊名	IEEE ACCESS
	2020
卷号	8 页码:134311-134323
关键词	Feature extraction Semantics Adaptation models Data mining Cognition Convolutional neural networks Business Deceptive information cognition adaptive slide window semantic structure representation trivial sentence element elimination convolutional neural network
ISSN号	2169-3536
DOI	10.1109/ACCESS.2020.3011072
英文摘要	Numerous false information come up to be the primary threat for regular communication and cooperation, which always have similar expressions and diffusion patterns with regular information. To recognize deceptive information and alleviate their threat against business and economy, a number of research approaches for deceptive information identification have been proposed. However, these approaches suffer from their rough feature extraction processes, and thus cannot distinguish deceptive information from others. We introduce an adaptive slide-window based feature extraction, which captures semantic features and eliminates the trivial parts from them with adaptive slide windows on sentence elements, in order to facilitate accurate semantic structure representation of various texts. In addition, we propose a deep deceptive information identification model based on the proposed feature extraction scheme. Experiments on three real-world datasets demonstrate that the proposed deep deceptive information identification model can distinguish deceptive information from regular information accurately by extracting the significant features instead of trivial common expressions.
资助项目	National Key Research and Development Program of China[2018YFB1800403] ; National Key Research and Development Program of China[2016YFE0121500] ; National Science Foundation of China[61902382] ; National Science Foundation of China[61972381] ; National Science Foundation of China[61672500] ; National Science Foundation of China[61962045] ; National Science Foundation of China[61502255] ; National Science Foundation of China[61650205] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDC02030500] ; Natural Science Foundation of Inner Mongolia Autonomous Region[2017MS(LH)0601] ; Natural Science Foundation of Inner Mongolia Autonomous Region[2018MS06003]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000554355400001
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/15867]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Xu, Zhiwei
作者单位	1.Inner Mongolia Univ Technol, Coll Data Sci & Applicat, Hohhot 100080, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.New Jersey Inst Technol, Dept Comp Sci, Newark, NJ 07102 USA
推荐引用方式 GB/T 7714	Yang, Haolin,Xu, Zhiwei,Liu, Limin,et al. Adaptive Slide Window-Based Feature Cognition for Deceptive Information Identification[J]. IEEE ACCESS,2020,8:134311-134323.
APA	Yang, Haolin,Xu, Zhiwei,Liu, Limin,Tian, Jie,&Zhang, Yujun.(2020).Adaptive Slide Window-Based Feature Cognition for Deceptive Information Identification.IEEE ACCESS,8,134311-134323.
MLA	Yang, Haolin,et al."Adaptive Slide Window-Based Feature Cognition for Deceptive Information Identification".IEEE ACCESS 8(2020):134311-134323.