Abstract
Social media is the mean nowadays for news or message communication, due to its lower price, simple access, and the fast propagation of information that makes people spread news or information through it. Under other circumstances, people may use this platform to spread genuine as well as fake news (intentionally wrong information) in less time. The extensive spreading of fake news potentially shows the impact on people and society, sometimes leading to the end of life of a person. Therefore, fake news recognition on social networking is an alarming research topic. This book chapter aims to present the challenges, the characteristics of social media, and existing fake news identification algorithms, and it proposes a methodology to detect fake news on social media using a Modified Long Short-Term Memory (MLSTM) recurrent neural network.
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