Novel Framework for Rumor Detection Using Emotionally Infused LSTM

In modern life, Microblog has become a popular and convenient platform for sharing, posting, and seeking information. The use of social media is increasing due to its connectivity and availability. However, it has also increased the rate of generation and propagation of rumors which can become a cause of social detriment. Rumors are the unverified information spread via social media without checking the facts with some hidden agenda or motive. Detecting rumors on social media is important for the betterment of the society. A lot of research has already been done for rumor detection on social media. The paper discusses the proposed emotionally infused LSTM and data mining-based framework. Along with this the prominent research done in rumor detection has also been discussed.