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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 12

Multimodal hate meme detection based on fusion of causal mask control and counterfactual intervention mechanism

Xu Chao
Pu Yue
Chen Yong
Sun Kaili
School of Computer Science, Nanjing Audit University, Nanjing Jiangsu 211815, China
DOI: 10.19734/j.issn.1001-3695.2025.04.0137

Abstract

Hateful memes function as emerging vectors of violence in social media, deriving semantic depth from socio-cultural contexts. This inherent complexity poses core challenges to content safety governance. Existing research prioritized shallow modality optimization while neglecting causal dependencies in semantic alignment, resulting in cross-modal semantic deviations. To address this gap, the current work proposes a multimodal hate detection framework integrating Causal Mask Control and Counterfactual Intervention mechanisms. The model employs visual-textual encoding followed by a Causal Mask Control module for explicit cross-modal dependency modeling. Further integrated Counterfactual Intervention Mechanism masks critical feature units, quantifies prediction probability shifts, and identifies causal pathway nodes for hate propagation. This process generates counterfactual semantic deviation vectors to adaptively recalibrate attention weights based on contextual semantics. Experimental results demonstrate F1 scores of 71.8% on MUTE and 68.8% on MultiOFF datasets. The framework effectively mitigates spurious correlations between background noise and hate semantics, significantly enhancing detection accuracy compared to established baselines.

Foundation Support

国家自然科学基金面上项目"面向国家审计的大模型训练与知识增强研究"(62472227)
国家自然科学基金面上项目(62472227)
江苏省高校自然科学研究重大项目(24KJA520005)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.04.0137
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 12

Publish History

[2025-07-30] Accepted Paper

Cite This Article

徐超, 浦悦, 陈勇, 等. 基于因果掩码控制与反事实干预机制融合的多模态仇恨模因检测 [J]. 计算机应用研究, 2025, 42 (12). (2025-08-06). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0137. (Xu Chao, Pu Yue, Chen Yong, et al. Multimodal hate meme detection based on fusion of causal mask control and counterfactual intervention mechanism [J]. Application Research of Computers, 2025, 42 (12). (2025-08-06). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0137. )

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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