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- W4312887364 abstract "Fake news is a major problem of the modern society. Hence, it is an increasingly important concern on social media. The paper uses CNN to detect the complex format of the context with the help of convolutional neural networks (CNNs). Long short-term memory (LSTM) is used in sequence predictions. It allows the reading of a sequence from both front-to-rear and rear-to-front with the bi-directional LSTM. An LSTM-recurrent neural network is used in this paper as a model for detecting fake news." @default.
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- W4312887364 date "2022-01-01" @default.
- W4312887364 modified "2023-09-27" @default.
- W4312887364 title "A Novel Approach for Protecting Against Neural Fake News in Social Media Network" @default.
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- W4312887364 doi "https://doi.org/10.1007/978-981-19-2350-0_24" @default.
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