The widespread diffusion of fake news has become a critical problem on dynamic social
media worldwide, which requires effective strategies for fake news detection to alleviate its …

Fake news is pervasive on social media, inflicting substantial harm on public discourse and
societal well-being. We investigate the explicit structural information and textual features of …

The rapid proliferation of online fake news has caused confusion and social panic,
underscoring the urgency of effective detection. Although tremendous research effort has …

Large language models (LLMs) have emerged as valuable tools for enhancing textual
features in various text-related tasks. Despite their superiority in capturing the lexical …

Anomalies often occur in real-world information networks/graphs, such as malevolent users
in online review networks and fake news in social media. When representing such …

Fake news detection has received great attention in recent years due to the proliferation of
disinformation. Existing researches focus on modeling the news content and user comments …