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Comment-Context Dual Collaborative Masked Transformer Network for Fake News Detection

文献类型：期刊论文

作者Wang, Jinguang1,2; Qian, Shengsheng3,4; Hu, Jun5; Hong, Richang1,6
刊名IEEE TRANSACTIONS ON MULTIMEDIA
出版日期2024
卷号26页码:5170-5180
关键词Fake news detection multi-modal learning social media
ISSN号1520-9210
DOI10.1109/TMM.2023.3330074
通讯作者Hong, Richang(hongrc.hfut@gmail.com)
英文摘要The rapid proliferation of social media data has led to the widespread dissemination of multi-modal fake news, prompting researchers to develop novel detection methods. Most fake news detection approaches mine the rich context information, including the text and image content of news and associated comments. However, existing methods are often insufficient to filter out irrelevant contexts, such as noisy words, redundant image regions, and spam comments, which may introduce noise into the model. Particularly, these approaches struggle to handle comments, which often contain the most severe noise. In many cases, only a minuscule portion of comments is relevant to the news. To overcome these limitations, our research introduces a novel Comment-Context Dual Collaborative Masked Transformer Network ((CDCMTN)-D-2). To handle the irrelevant contexts, we propose a Multi-modal Masked Transformer Network. This network extends the traditional Transformer with a mask mechanism capable of dynamically obscuring irrelevant multi-modal context information. To effectively deal with comments, which can suffer from more severe noise issues, we have designed a Comment-Context Encoder that focuses solely on the most crucial comments. Comprehensive experiments on two publicly available real-world datasets confirm that (CDCMTN)-D-2 outperforms state-of-the-art methods.
资助项目National Key Research and Development Program of China
WOS研究方向Computer Science ; Telecommunications
语种英语
WOS记录号WOS:001193072800005
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China
源URL[http://ir.ia.ac.cn/handle/173211/58109]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
通讯作者Hong, Richang
作者单位1.Hefei Univ Technol, Sch Comp Sci & Informat Engn, Hefei 230009, Peoples R China
2.Chinaso Inc, Res Inst, Beijing 100077, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
5.Natl Univ Singapore, Sch Comp, Singapore 117417, Singapore
6.Hefei Comprehens Natl ScienceCenter, Inst Artificial Intelligence, Hefei 230088, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Jinguang,Qian, Shengsheng,Hu, Jun,et al. Comment-Context Dual Collaborative Masked Transformer Network for Fake News Detection[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2024,26:5170-5180.
APA Wang, Jinguang,Qian, Shengsheng,Hu, Jun,&Hong, Richang.(2024).Comment-Context Dual Collaborative Masked Transformer Network for Fake News Detection.IEEE TRANSACTIONS ON MULTIMEDIA,26,5170-5180.
MLA Wang, Jinguang,et al."Comment-Context Dual Collaborative Masked Transformer Network for Fake News Detection".IEEE TRANSACTIONS ON MULTIMEDIA 26(2024):5170-5180.

入库方式： OAI收割

来源：自动化研究所

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