Abstract
The raise of social media and the easy access to obtain and spread news has increased the probability of various news dissemination. However, an undetermined factor in usage scenario is the authenticity of spreading news, which has posed detrimental effects on individuals and society in current scenario. It is imperative to develop proper mechanism for fake news detection. These years, with the sharp development of deep learning, referring to the method of training multi-layer artificial neural networks, some researchers have utilized deep learning in fake news detection and classification. Although many studies have achieved a preeminent level and high accuracy, scarcity of review work regarding fake news detection with deep learning is still an important problem. This work urges to derive a comprehensive review of fake news detection and classification techniques for further study in the aspect, and mechanism in various studies for sake of raising accuracy. This work also figure out some possible challenges with existing limitation based on previous research.
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