Fake News Detection Based on Cross-Modal Ambiguity Computation and Multi-Scale Feature Fusion  

作　　者：Jianxiang Cao Jinyang Wu Wenqian Shang Chunhua Wang Kang Song Tong Yi Jiajun Cai Haibin Zhu 

机构地区：[1]State Key Laboratory of Media Convergence and Communication,Communication University of China,Beijing,100024,China [2]School of Computer Science and Engineering,Guangxi Normal University,Guilin,541004,China [3]Department of Computer Science,Nipissing University,North Bay,ON P1B 8L7,Canada

出　　处：《Computers, Materials & Continua》2025年第5期2659-2675,共17页计算机、材料和连续体(英文)

基　　金：supported by Communication University of China(HG23035);partly supported by the Fundamental Research Funds for the Central Universities(CUC230A013).

摘　　要：With the rapid growth of socialmedia,the spread of fake news has become a growing problem,misleading the public and causing significant harm.As social media content is often composed of both images and text,the use of multimodal approaches for fake news detection has gained significant attention.To solve the problems existing in previous multi-modal fake news detection algorithms,such as insufficient feature extraction and insufficient use of semantic relations between modes,this paper proposes the MFFFND-Co(Multimodal Feature Fusion Fake News Detection with Co-Attention Block)model.First,the model deeply explores the textual content,image content,and frequency domain features.Then,it employs a Co-Attention mechanism for cross-modal fusion.Additionally,a semantic consistency detectionmodule is designed to quantify semantic deviations,thereby enhancing the performance of fake news detection.Experimentally verified on two commonly used datasets,Twitter and Weibo,the model achieved F1 scores of 90.0% and 94.0%,respectively,significantly outperforming the pre-modified MFFFND(Multimodal Feature Fusion Fake News Detection with Attention Block)model and surpassing other baseline models.This improves the accuracy of detecting fake information in artificial intelligence detection and engineering software detection.

关 键 词：Fake news detection MULTIMODAL cross-modal ambiguity computation multi-scale feature fusion 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]