Fake news detection in social media using recurrent neural network
Abstract
Social Media is very popular now a days to share news, communicate and discuss about trending topics. As we are aware whenever there is a positive promotion, there will be surely a negative part associated with it. Such a negative part in social media is the travel of fake contents in the news that are travelled in a very fast manner than the true content. Hence it is necessary to develop a methodology to detect the fake contents that are propagating in social media. In our work we have used the Recurrent Neural Network to detect the fake news and achieved a good accuracy compared to existing natural language processing methods.
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