DIY Fake News Detector: Unmask misinformation with Recurrent Neural Networks
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Explore the power of RNNs in fake news detection, from data preprocessing to model evaluation, showcasing their potential to combat misinformation.
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Though challenging, it is equally rewarding to be in a position to build a fake news detection system using RNNs. This code will walk you through the stage of data preprocessing to model evaluation. The power of RNNs, especially LSTMs, is utilised while decoding sequential data to make a distinction between real and fake news. If we could fine-tune these models and get hold of global news datasets, AI can then be core in battling misinformation.
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