FAKE

作品数:144被引量:109H指数:4
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Fake News Detection Based on Cross-Modal Ambiguity Computation and Multi-Scale Feature Fusion
《Computers, Materials & Continua》2025年第5期2659-2675,共17页Jianxiang Cao Jinyang Wu Wenqian Shang Chunhua Wang Kang Song Tong Yi Jiajun Cai Haibin Zhu 
supported by Communication University of China(HG23035);partly supported by the Fundamental Research Funds for the Central Universities(CUC230A013).
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...
关键词:Fake news detection MULTIMODAL cross-modal ambiguity computation multi-scale feature fusion 
FHGraph:A Novel Framework for Fake News Detection Using Graph Contrastive Learning and LLM
《Computers, Materials & Continua》2025年第4期309-333,共25页Yuanqing Li Mengyao Dai Sanfeng Zhang 
supported by the National Key R&D Program of China(Grant No.2022YFB3104601);the Big Data Computing Center of Southeast University.
Social media has significantly accelerated the rapid dissemination of information,but it also boosts propagation of fake news,posing serious challenges to public awareness and social stability.In real-world contexts,t...
关键词:Graph contrastive learning fake news detection data augmentation class imbalance LLM 
The Social Harms of AI-Generated Fake News:Addressing Deepfake and AI Political Manipulation
《数字社会与虚拟治理》2025年第1期72-88,共17页Sophia LI 
Artificial Intelligence-Generated Content(AIGC)is rapidly transforming the landscape of information dissemination while exacerbating the spread of fake news.This paper examines the mechanisms of AI-generated fake news...
关键词:AI-generated fake news Deepfake Political manipulation Social trust Fake news governance 
Differential Privacy-Enabled TextCNN for MOOCs Fake Review Detection
《Journal of Electronic Research and Application》2025年第1期191-201,共11页Caiyun Chen 
The rapid development and widespread adoption of massive open online courses(MOOCs)have indeed had a significant impact on China’s education curriculum.However,the problem of fake reviews and ratings on the platform ...
关键词:DP-TextCNN Differential Privacy Fake review MOOCs 
Fake Face Detection Based on Fusion of Spatial Texture and High-Frequency Noise
《Chinese Journal of Electronics》2025年第1期212-221,共10页Dengyong Zhang Feifan Qi Jiahao Chen Jiaxin Chen Rongrong Gong Yuehong Tian Lebing Zhang 
supported by the National Natural Science Foundation of China(Grant No.62172059);Scientific Research Fund of Hunan Provincial Education Department of China(Grant No.22A0200);Scientific Research Fund of Hunan Provincial Natural Science Foundation(Grant No.2023JJ60257)。
The rapid development of the Internet has led to the widespread dissemination of manipulated facial images,significantly impacting people's daily lives.With the continuous advancement of Deepfake technology,the genera...
关键词:Deepfakes detection Steganalysis rich model Image forensics Mix attention 
An overview of fake news detection:From a new perspective
《Fundamental Research》2025年第1期332-346,共15页Bo Hu Zhendong Mao Yongdong Zhang 
supported in part by the National Natural Science Foundation of China Science Fund for Creative Research Groups(62121002);Excellent Young Scientists Fund(62222212).
With the rapid development and popularization of Internet technology,the propagation and diffusion of information become much easier and faster.While making life more convenient,the Internet also promotes the wide spr...
关键词:Fake news detection Social media Intentional creation Heteromorphic transmission Controversial reception 
Fake Studies Fake scientific studies are a problem that’s getting harder to solve
《空中英语教室(高级版.彭蒙惠英语)》2025年第1期12-13,41,42,共4页F.D.Flam 
Faking it until you make it may be a common practice in some careers.But it's clearly unethical for scientists and medical researchers.All the same,thousands of fake papers are churned out by so-called paper mills and...
关键词:s. PROBLEM GETTING 
基于Tea DCGAN网络和Fake Tea框架的茶鲜叶数据增强方法
《农业工程学报》2024年第23期274-282,共9页俞焘杰 陈建能 彭伟杰 李亚涛 喻陈楠 武传宇 
国家自然科学基金项目(U23A20175,52305289);浙江省领雁计划项目(2022C02052);CARS‐19国家茶叶产业技术体系项目(智能化采摘)岗位科学家(2024年度)。
当茶叶图片的原始数据数量不足时,深度学习模型泛化性不足导致对茶叶嫩梢的检测能力大幅度下降。为解决这一问题,该研究提出一种Tea DCGAN(tea deep convolution generative adversarial networks)的对抗生成网络及其数据增强方法。首先...
关键词:机器视觉 茶叶嫩梢 图像生成 小样本数据集 对抗生成网络 数据增强 
Black⁃box adversarial attacks with imperceptible fake user profiles for recommender systems
《南京大学学报(自然科学版)》2024年第6期881-899,共19页Qian Fulan Liu Jinggang Chen Hai Chen Wenbin Zhao Shu Zhang Yanping 
The National Natural Science Foundation of China (61876001);Opening Foundation of State Key Laboratory of Cognitive Intelligence,Opening Foundation of State Key Laboratory of Cognitive Intelligence(iED2022-006);Scientific Research Planning Project of Anhui Province (2022AH050072)
Attackers inject the designed adversarial sample into the target recommendation system to achieve illegal goals,seriously affecting the security and reliability of the recommendation system.It is difficult for attacke...
关键词:recommendation systems adversarial examples transferability imperceptible 
Fake News Detection on Social Media Using Ensemble Methods
《Computers, Materials & Continua》2024年第12期4525-4549,共25页Muhammad Ali Ilyas Abdul Rehman Assad Abbas Dongsun Kim Muhammad Tahir Naseem Nasro Min Allah 
supported by the MSIT(Ministry of Science and ICT),Korea,under the ICT Creative Consilience Program(IITP-2024-2020-0-01819);supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation).
In an era dominated by information dissemination through various channels like newspapers,social media,radio,and television,the surge in content production,especially on social platforms,has amplified the challenge of...
关键词:Fake news detection Machine Learning(ML) Deep Learning(DL) CHI-SQUARE ensembling 
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