英文摘要 |
In recent years, because the Internet acts as a medium, fake news can be quickly spread. Many countries have been seriously affected by fake news. making fake news detection become an important issue. This study collects two Taiwan refute rumors sites. And use the three methods of deep learning for fake news detection., Gated Recurrent Unit (GRU), Long Short Term Memory (LSTM), and Bidirectional Long Short Term Memory (BLSTM). The experimental results show that deep learning can be used in Taiwan's fake news detection, and the BLSTM method works best. Research experiments reduce the proportion of fake news, simulating 25% and 5% fake news ratios. Let the research sample be closer to the real situation. Finally, this study used a cross-data set test to understand the gap between practice and theory. |