Novel Visual and Statistical Image Features for Microblogs News Verification

doi:10.1109/TMM.2016.2617078

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

	Novel Visual and Statistical Image Features for Microblogs News Verification
	Jin, Zhiwei 2; Cao, Juan 2; Zhang, Yongdong 2,3; Zhou, Jianshe 1; Tian, Qi 4
刊名	IEEE TRANSACTIONS ON MULTIMEDIA
	2017-03-01
卷号	19 期号:3 页码:598-608
关键词	Fake news detection image features microblogs news verification rumor detection social media
ISSN号	1520-9210
DOI	10.1109/TMM.2016.2617078
英文摘要	Microblog has been a popular media platform for reporting and propagating news. However, fake news spreading on microblogs would severely jeopardize its public credibility. To identify the truthfulness of news on microblogs, images are very crucial content. In this paper, we explore the key role of image content in the task of automatic news verification on microblogs. Existing approaches to news verification depend on features extracted mainly from the text content of news tweets, while image features for news verification are often ignored. According to our study, however, images are very popular and have a great influence on microblogs news propagation. In addition, fake and real news events have different image distribution patterns. Therefore, we propose several visual and statistical features to characterize these patterns visually and statistically for detecting fake news. Experiments on a real-world multimedia dataset collected from Sina Weibo validate the effectiveness of our proposed image features. The news verification performance of our method outperforms baseline methods. To the best of our knowledge, this is the first attempt that systematically explores image features on news verification task.
资助项目	National Nature Science Foundation of China[61525206] ; National Nature Science Foundation of China[61571424] ; National Nature Science Foundation of China[61428207] ; Beijing Advanced Innovation Center for Imaging Technology[BAICIT-2016009]
WOS研究方向	Computer Science ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000395869400014
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/7498]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Jin, Zhiwei
作者单位	1.Capital Normal Univ, Sch Literature, Beijing 100089, Peoples R China 2.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100190, Peoples R China 3.Capital Normal Univ, Beijing Adv Innovat Ctr Imaging Technol, Beijing 100048, Peoples R China 4.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX 78249 USA
推荐引用方式 GB/T 7714	Jin, Zhiwei,Cao, Juan,Zhang, Yongdong,et al. Novel Visual and Statistical Image Features for Microblogs News Verification[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2017,19(3):598-608.
APA	Jin, Zhiwei,Cao, Juan,Zhang, Yongdong,Zhou, Jianshe,&Tian, Qi.(2017).Novel Visual and Statistical Image Features for Microblogs News Verification.IEEE TRANSACTIONS ON MULTIMEDIA,19(3),598-608.
MLA	Jin, Zhiwei,et al."Novel Visual and Statistical Image Features for Microblogs News Verification".IEEE TRANSACTIONS ON MULTIMEDIA 19.3(2017):598-608.