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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 5

Preferential Fusion with modality-wise attention mechanisms for fake news detection

Zhang Ting1a,1b,1c
Yuan Hu1b
Zhao Xiaobing1b,1c
Minzu University of China, a. School of Chinese Ethnic Minority Languages & Literatures, b. School of Information Engineering c. National Language Resource Monitoring & Research Center of Minority Languages, Beijing 100081, China.
DOI: 10.19734/j.issn.1001-3695.2024.10.0422

Abstract

To address the limitations of existing multimodal fake news detection methods, which prioritize extracting semantic features from images while neglecting frequency domain features and fine-grained image content encoding, leading to mismatched text and image information as well as insufficient fusion, this paper proposed a fake news detection model based on preferential fusion and modality attention mechanisms. The model integrated textual features, image frequency domain features, and spatial domain features through the preferential fusion module and dynamically adjusts the weight of each modality using the modality attention mechanism to enhance the synergy among modalities for effective fake news detection. Comparative experiments on two public multimodal datasets, Weibo and Gossipcop, demonstrated that the proposed model achieved accuracies of 91.3% and 90.5%, respectively. The results indicate that the model effectively captures complex interactions among modalities, successfully fuses multimodal information, and improves the accuracy of fake news detection.

Foundation Support

国家社会科学基金重大项目(22&ZD035)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.10.0422
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 5

Publish History

[2025-03-06] Accepted Paper

Cite This Article

张廷, 袁虎, 赵小兵. 基于优先融合与模态注意力机制的虚假新闻检测 [J]. 计算机应用研究, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0422. (Zhang Ting, Yuan Hu, Zhao Xiaobing . Preferential Fusion with modality-wise attention mechanisms for fake news detection [J]. Application Research of Computers, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0422. )

About the Journal

  • 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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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