Feb. 26, 2024, 5:48 a.m. | Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.14834v1 Announce Type: new
Abstract: The proliferation of social media platforms has fueled the rapid dissemination of fake news, posing threats to our real-life society. Existing methods use multimodal data or contextual information to enhance the detection of fake news by analyzing news content and/or its social context. However, these methods often overlook essential textual news content (articles) and heavily rely on sequential modeling and global attention to extract semantic information. These existing methods fail to handle the complex, subtle …

abstract arxiv context cs.ai cs.cl cs.ir data detection fake fake news information life media multimodal multimodal data platforms social social media social media platforms society syntax threats type

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