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- W4387486185 abstract "Using AI to fight fake news efficiently. Using AI to fight misinformation with more modern approaches from machine learning and natural language processing. This paper discusses on extraction, model selection, training, assement, deploying, and continuous learning. The process includes extracting of tags from all over social media and headlines and quantifying text with AI. The models are chosen using machine learning methodologies such as Naïve Bayes, Support vector, and neural networks. Differentiating fake news and training for satire/Irony and adapting to newer kind of fake trends (image, videos) will help in implementing this effectively." @default.
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- W4387486185 date "2023-08-25" @default.
- W4387486185 modified "2023-10-16" @default.
- W4387486185 title "A Comprehensive Survey on Fake News Detection with Machine Learning Algorithms" @default.
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- W4387486185 doi "https://doi.org/10.1109/asiancon58793.2023.10270611" @default.
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