Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
