Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

Understand

Social media has been developing rapidly in public due to its nature of spreading new information, which leads to rumors being circulated.

• Meanwhile, detecting rumors from such massive information in social media is becoming an arduous challenge.
• Therefore, some deep learning methods are applied to discover rumors through the way they spread, such as Recursive Neural Network (RvNN) and so on.
• However, these deep learning methods only take into account the patterns of deep propagation but ignore the structures of wide dispersion in rumor detection.