March 4, 2024, 5:47 a.m. | Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.00037v1 Announce Type: cross
Abstract: With the rapid development of social media, the wide dissemination of fake news on social media is increasingly threatening both individuals and society. In the dynamic landscape of social media, fake news detection aims to develop a model trained on news reporting past events. The objective is to predict and identify fake news about future events, which often relate to subjects entirely different from those in the past. However, existing fake detection methods exhibit a …

abstract arxiv cs.ai cs.cl cs.si detection development dynamic event fake fake news future landscape media reporting social social media society type

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