Weibo rumor detection based on GCN

Qian Zhang; Yongzhi Zhu; Chuanhao Lan; Qinghang Mao; Yikai Cui

doi:10.1117/12.2671057

28 April 2023 Weibo rumor detection based on GCN

Qian Zhang, Yongzhi Zhu, Chuanhao Lan, Qinghang Mao, Yikai Cui

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126103I (2023) https://doi.org/10.1117/12.2671057
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

In the era of information explosion, rumors will cause great harm and affect social stability. Most rumor detection methods concentrate on extracting features from content and consumer information. We propose a brand-new approach to early rumor identification, MSR-GAT. Firstly, the source text and comment text are fused as node features and the relation between events is considered edge information. Then, the graph attention model is constructed to classify nodes and complete rumor detection. The experimental findings demonstrate that the detection algorithm outperforms the baselines algorithm in accuracy, precision, recall and F1-Measure. It can accurately identify rumors.

Citation Download Citation

Qian Zhang, Yongzhi Zhu, Chuanhao Lan, Qinghang Mao, and Yikai Cui "Weibo rumor detection based on GCN", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126103I (28 April 2023); https://doi.org/10.1117/12.2671057

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