App. Res. of Comp. Accepted Paper
Vol. 44, 2027 No. 1

Short video false news detection based on multi-dimensional perception strategy

Wang Wenqi
Hong Feiyang
Zhang Jingyuan
Gao Shiwen
Guo Mengfan
School of Computer Science, Zhongyuan University of Technology, Zhengzhou Henan 451191, China
DOI: 10.19734/j.issn.1001-3695.2026.01.0134

Abstract

This paper proposes a multidimensional perception-based detection model to address the insufficient utilization of multidimensional information in short-video fake news detection and the inadequate exploration of internal visual, emotional, deep semantic, and text–visual conflicts. The model first extracts multidimensional feature data from short videos. A Gated Cross-aware Fusion Module (GCF) captures emotional and deep semantic cues as well as text–visual inconsistencies. A Prompt-Guided Perception Block (PPB) identifies visual anomalies, and an Adaptive Temporal Structure Extractor (ATSE) analyzes logical disruptions and structural inconsistencies indicative of fake content. Finally, a temperature-scaled probability fusion strategy performs cross-modal feature fusion, enabling the model to adaptively focus on more credible modalities and thereby enhance robustness. Experiments on the FakeSV and FakeTT datasets demonstrate that the proposed model achieves significant improvements in accuracy, precision, recall, and F1-score compared with existing approaches. Demonstrate the effectiveness of the proposed method.

Foundation Support

国家自然科学基金资助项目(62302540)
河南省重点研发专项资助项目(251111212000)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.01.0134
Publish at: Application Research of Computers Accepted Paper, Vol. 44, 2027 No. 1

Publish History

[2026-08-27] Accepted Paper

Cite This Article

王文奇, 洪飞阳, 张警元, 等. 基于多维度感知策略的短视频虚假新闻检测 [J]. 计算机应用研究, 2027, 44 (1). (2026-09-14). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0134. (Wang Wenqi, Hong Feiyang, Zhang Jingyuan, et al. Short video false news detection based on multi-dimensional perception strategy [J]. Application Research of Computers, 2027, 44 (1). (2026-09-14). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0134. )

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.

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