App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 7

Multimodal misinformation detection model with social network graph

Ye Zhoubo
Luo Shun
Yu Juan
College of Economics & Management, Fuzhou University, Fuzhou Fujian 350108, China
DOI: 10.19734/j.issn.1001-3695.2023.11.0565

Abstract

To address the issues of existing misinformation detection approaches, which primarily focus on single-modal data analysis and ignore the correlation between information during detection, this paper proposed a multimodal misinformation detection model combined with the social network graph, the MMD-SNG model. This model used the pre-trained Transformer model and the image caption model to extract the semantics of each modality from multiple perspectives. It incorporated the features of propagated information into the text and image data by fusing the social network graph of the information dissemination process. Finally, this model used a multimodal co-attention mechanism to allocate the weights of each modality for misinformation detection. This paper conducted comparative experiments on two real datasets including Twitter and Weibo, the proposed MMD-SNG model achieved a consistent detection accuracy of approximately 88%, which was higher than existing misinformation detection approaches such as EANN and PTCA. The experimental results demonstrate that the proposed model can fuse multimodal information effectively to improve the accuracy of misinformation detection.

Foundation Support

国家自然科学基金资助项目(71771054,72171090)
福建省自然科学基金资助项目(2023J01393)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.11.0565
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 7

Publish History

[2024-01-31] Accepted Paper

Cite This Article

叶舟波, 罗舜, 于娟. 结合社交网络图的多模态虚假信息检测模型 [J]. 计算机应用研究, 2024, 41 (7). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.11.0565. (Ye Zhoubo, Luo Shun, Yu Juan. Multimodal misinformation detection model with social network graph [J]. Application Research of Computers, 2024, 41 (7). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.11.0565. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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