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Suiyu Zhang

As seen in: Nature, MDPI
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Articles

TRGCN: a hybrid framework for social network rumor detection

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By Yanqin Yan, Suiyu Zhang, Dingguo Yu, Yijie Zhou, Cheng-Jun Wang, Ke-ke Shang
| Nature Verified
Abstract Accurate and efficient rumor detection is critical for information governance, particularly in the context of the rapid spread of misinformation on social networks. Traditional rumor detection relied primarily on manual analysis. With the continuous advancement of technology, machine learning and deep learning approaches for rumor identification have gradually emerged and gained prominence.
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Graph Convolutional-Based Deep Residual Modeling for Rumor Detection on Social Media

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By Dingguo Yu, Yijie Zhou, Ke-ke Shang, Suiyu Zhang
| MDPI
Open AccessArticle by 1, 2,3,*, 3,4, 5,* and 3 1 School of Journalism and Communication, Communication University of Zhejiang, Hangzhou 310018, China 2 College of Media Engineering, Communication University of Zhejiang, Hangzhou 310018, China 3 Key Lab of Film and TV Media Technology of Zhejiang Province, Hangzhou 310018, China 4 Institute of Intelligent Media Technology, Communication University of Zhejiang, Hangzhou 310018, China 5 Computational Communication Collaboratory, Nanjing...
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