Mengyang Chen

2 accepted papers

2026

An Information-theoretic Propagation Denoising and Fusion Framework for Fake News Detection

Mengyang Chen, Lingwei Wei, Wei Zhou, Songlin Hu

IJCAI 2026

Incomplete propagation data significantly hinders robust fake news detection. Recent approaches leverage large language models to simulate missing user interactions via role-playing, thereby enriching propagation with synthetic signals. However, such propagation data is intrinsically unreliable, and

Cited by 0 Scholar ↗

2025

Structure-aware Propagation Generation with Large Language Models for Fake News Detection

Mengyang Chen, Lingwei Wei, Wei Zhou, Songlin Hu

EMNLP 2025

The spread of fake news on social media poses a serious threat to public trust and societal stability. While propagation-based methods improve fake news detection by modeling how information spreads, they often suffer from incomplete propagation data. Recent work leverages large language models (LLM

Cited by 0 Source ↗PDF ↗Scholar ↗