Improving Recommender Systems for Fake News Detection in Social Networks with Knowledge Graphs and Graph Attention Networks

Improving Recommender Systems for Fake News Detection in Social Networks with Knowledge Graphs and Graph Attention Networks

This paper addresses the pervasive problem of fake news propagation in social networks. Traditional text-based detection models often suffer from performance degradation over time due to their reliance on evolving textual features. To overcome this limitation, we propose a novel recommender system t...

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Bibliographic Details
Main Authors: Aleksei Golovin, Nataly Zhukova, Radhakrishnan Delhibabu, Alexey Subbotin
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Mathematics
Subjects:
fake news detection
social networks
knowledge graphs
graph attention networks
recommender system
machine learning
Online Access:https://www.mdpi.com/2227-7390/13/6/1011
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