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Fake News Quick Detection on Dynamic Heterogeneous Information Networks
[article]
2022
arXiv
pre-print
The spread of fake news has caused great harm to society in recent years. So the quick detection of fake news has become an important task. Some current detection methods often model news articles and other related components as a static heterogeneous information network (HIN) and use expensive message-passing algorithms. However, in the real-world, quickly identifying fake news is of great significance and the network may vary over time in terms of dynamic nodes and edges. Therefore, in this
arXiv:2205.07039v1
fatcat:pobg6btztrbqfenzokuzvqjypm