AI, Python, Cognitive Neuroscience

A Hybrid Approach for Fake News Detection in Twitter Based on User Features and Graph Embeddings

• Using node2vec to extract features from a twitter follower graph. In conjunction with user features provided by Twitter.

This hybrid approach considers both the characteristics of the user and his social graph. The results show that the approach consistently and significantly outperforms existent approaches limited to user features.

Paper is.gd/LP9uKD

www.tgoop.com/ai_python_en/2361

16.2K viewsFarzad 🦅, Jul 25, 2020 at 17:52

A Hybrid Approach for Fake News Detection in Twitter Based on User Features and Graph Embeddings

• Using node2vec to extract features from a twitter follower graph. In conjunction with user features provided by Twitter.

This hybrid approach considers both the characteristics of the user and his social graph. The results show that the approach consistently and significantly outperforms existent approaches limited to user features.

Paper is.gd/LP9uKD

BY AI, Python, Cognitive Neuroscience