By applying deep learning models like LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Units), this project detects fake news from text data. These models help capture long-range dependencies in the text, improving the accuracy of fake news classification by recognizing context over extended sequences of words or phrases.
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