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Published in:
2021 | OriginalPaper | Chapter
Deep Learning for Fake News Detection
Author : Santhosh Kumar G
Published in: Data Science for Fake News
Publisher: Springer International Publishing
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The widespread usage of fake news through social media outlets causes unpleasant societal outcomes. The research efforts to automatically detect and mitigate its use are essential because of their potential to influence the information ecosystem. A vast amount of work using deep learning techniques paved a way to understand the anatomy of fake news and its spread through social media. This chapter attempts to take stock of such efforts and look beyond the possibilities in this regard. The focus is given mainly to deep learning models and its use in fake news detection. A comprehensive survey of the current literature and datasets used, along with evaluation metrics, are highlighted. Finally, promising research directions toward fake news detection are mentioned.