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Mengzhu Sun

2 accepted papers

2022

DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media

AAAI 2022technical

Detecting rumors on social media has become particular important due to the rapid dissemination and adverse impacts on our lives. Though a set of rumor detection models have exploited the message propagation structural or temporal information, they seldom model them altogether to enjoy the best of b…

Cited by 104SourcePDFScholar
2021

Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection

EMNLP 2021finding

Rumor spreaders are increasingly utilizing multimedia content to attract the attention and trust of news consumers. Though a set of rumor detection models have exploited the multi-modal data, they seldom consider the inconsistent relationships among images and texts. Moreover, they also fail to find…