FNDNet is a deep convolutional neural network designed to identify fake news by automatically learning discriminatory features from text across multiple hidden layers. This model achieves high accuracy rates in detecting misinformation on social media and web forums by eliminating the need for hand-crafted features. Read the full study on ScienceDirect. A deep convolutional neural network for fake news detection
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