xuejianhuang/MST
Multiview Spatio-Temporal Learning with Dual Dynamic Graph Convolutional Networks for Rumor Detection
This project helps social media analysts and content moderators quickly identify and flag false information spreading online. By analyzing both the text content and how messages propagate over time across a social network, it takes raw social media posts and their interactions to determine if a piece of information is a rumor or not. It's designed for anyone needing to monitor social networks for misinformation.
Use this if you need an advanced method to detect rumors by understanding the complex ways information spreads and evolves on social media platforms.
Not ideal if you are looking for a simple keyword-based detection tool or don't have access to detailed social network propagation data.
Stars
29
Forks
3
Language
Python
License
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Category
Last pushed
Oct 15, 2025
Commits (30d)
0
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