Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection

arXiv:2404.16076v1 Announce Type: cross
Abstract: Due to the rapid spread of rumors on social media, rumor detection has become an extremely important challenge. Recently, numerous rumor detection models which utilize textual information and the propagation structure of events have been proposed. However, these methods overlook the importance of semantic evolvement information of event in propagation process, which is often challenging to be truly learned in supervised training paradigms and traditional rumor detection methods. To address this issue, we propose a …

abstract arxiv autoencoder become challenge cs.ai cs.cl cs.lg cs.si detection events graph however importance information media propagation rumor rumors semantic social social media textual type