Context-Aware Deep Markov Random Fields for Fake News Detection

Context-Aware Deep Markov Random Fields for Fake News Detection

Fake news is a serious problem, which has received considerable attention from both industry and academic communities. Over the past years, many fake news detection approaches have been introduced, and most of the existing methods rely on either news content or the social context of the news dissemi...

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Bibliographic Details
Main Authors: Tien Huu Do, Marc Berneman, Jasabanta Patro, Giannis Bekoulis, Nikos Deligiannis
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Fake news detection
deep learning
Markov random field
representation learning
question answering
sentiment analysis
Online Access:https://ieeexplore.ieee.org/document/9540871/

Internet

https://ieeexplore.ieee.org/document/9540871/

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