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Novel Visual and Statistical Image Features for Microblogs News Verification

文献类型:期刊论文

作者Jin, Zhiwei2; Cao, Juan2; Zhang, Yongdong2,3; Zhou, Jianshe1; Tian, Qi4
刊名IEEE TRANSACTIONS ON MULTIMEDIA
出版日期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
DOI10.1109/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
WOS记录号WOS:000395869400014
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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.

入库方式: OAI收割

来源:计算技术研究所

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