FAKE NEWS DETECTION USING MACHINE LEARNING

Volume 20 No 8 (2022)

V. Monica, N. Satya Krishna

DOI: 10.14704/nq.2022.20.8.NQ44442

Abstract

social media, fake news has become a social problem and, in some cases, spreads more and faster than true information. In this paper, I evaluate the performance of an attention mechanism for detecting fake news on two datasets, one containing traditional online news articles and the other news. from various sources. I compared the results on the datasets and the results of Attention Mechanism with LSTM and traditional machine learning methods. it shows the attention mechanism does not work as well as expected. In addition, I made changes to the original attention mechanism using word2vec embedding which works better in this particular case.

Keywords

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