April 2, 2024, 7:44 p.m. | Danial Kamali, Joseph Romain, Huiyi Liu, Wei Peng, Jingbo Meng, Parisa Kordjamshidi

cs.LG updates on arXiv.org arxiv.org

arXiv:2211.05985v3 Announce Type: replace-cross
Abstract: The spread of misinformation is a prominent problem in today's society, and many researchers in academia and industry are trying to combat it. Due to the vast amount of misinformation that is created every day, it is unrealistic to leave this task to human fact-checkers. Data scientists and researchers have been working on automated misinformation detection for years, and it is still a challenging problem today. The goal of our research is to add a …

abstract academia arxiv checkers cs.ai cs.cl cs.lg every health human industry misinformation researchers society strategies type vast writing

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