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About 2019 - 2 - Fake News Detection On Social Media Using Geometric Deep Learning
This document proposes a novel model for detecting fake news on social media using geometric deep learning. The model can fuse heterogeneous data like content, user profiles, social networks and news propagation patterns. When trained and tested on news stories from Twitter verified by fact checkers, the model achieved 92.7% accuracy in detecting fake news. It was also able to reliably detect fake news within only a few hours of propagation. The model performed well even when trained on older data and tested on more recent data, showing promise for propagation-based approaches to fake news detection.
Detailed Information
| Author: | ['Hassan Ali'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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