Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks

arXiv:2404.10228v1 Announce Type: new
Abstract: The high volume and rapid evolution of content on social media present major challenges for studying the stance of social media users. In this work, we develop a two stage stance labeling method that utilizes the user-hashtag bipartite graph and the user-user interaction graph. In the first stage, a simple and efficient heuristic for stance labeling uses the user-hashtag bipartite graph to iteratively update the stance association of user and hashtag nodes via a label …

abstract arxiv challenges cs.cl cs.lg cs.si evolution graph graph neural networks heuristics labeling major media networks neural networks social social media stage studying type work