期刊
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
卷 -, 期 -, 页码 -出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSS.2022.3220420
关键词
Fake news (FN); information security; meta-verse; virtual community (VC); virtual society (VS)
In the context of accelerated communication network technology, the emergence of virtual communities, virtual societies, metaverse, and other technologies has facilitated data access and sharing, but it has also led to the proliferation of fake news. This work focuses on detecting and identifying fake news in virtual communities, virtual societies, and metaverse. By reviewing the content and display methods of fake news, analyzing its impact and detection effect in various scenarios, and providing an intelligent outlook on detection and information security, this work offers theoretical references and new opportunities for addressing fake news in the virtual cyberspace.
In the trend of the accelerated progression of communication network technology, the emergence of virtual communities (VCs), virtual societies (VSs), metaverse, and other technologies not only makes data access and sharing easier but also leads to the proliferation of fake news (FN). To effectively monitor and identify FN in VC, VS, and metaverse, and to create a safer virtual space, this work takes FN in VC, VS, and metaverse as objects. First, the content and display methods of FN are reviewed and explained, and it is understood that FN is mainly displayed by single-modal and multimodal representations. Second, the application scenarios in many important fields such as transportation are reviewed and analyzed, so as to further understand the impact and detection effect of FN in different scenarios. Finally, an intelligent outlook and summary analysis are carried out on the detection and information security of FN, which provides theoretical reference and new opportunities for the detection and identification of FN in the virtual cyberspace.
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