This study aims to implement Recurrent Neural Networks (RNN) algorithms to detect buzzers on social media. The data used came from Twitter which consisted of 20000 tweets. The RNN algorithm used consists of seven layers which used bidirectional Long Short Term Memory (LSTM). The test results showed 90 percent accuracy. However, there is an overfitted in the data due to the lack of data. This indicates that the accuracy obtained is good enough but can be further improved by increasing the amount of data used.

Topics
Artificial neural networks
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