DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks

Understand

Given the development and abundance of social media, studying the stance of social media users is a challenging and pressing issue.

• Social media users express their stance by posting tweets and retweeting.
• Therefore, the homogeneous relationship between users and the heterogeneous relationship between users and tweets are relevant for the stance detection task.
• Recently, graph neural networks (GNNs) have developed rapidly and have been applied to social media research.