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Validation, true or not, of news posts analyzing the images used
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IEEE DOI
1901
Cultural differences, Intelligent systems,
Social network services, Psychology, Economics, Software
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Elsevier DOI
1806
Digital forensics, CG detection, Deep learning,
Transfer learning, Fake news
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IEEE DOI
1906
Feature extraction, Facebook, Data mining, IP networks,
Radio frequency, Affective computing
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de Oliveira, N.R.,
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A Sensitive Stylistic Approach to Identify Fake News on Social
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SPLetters(27), 2020, pp. 1250-1254.
IEEE DOI
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Fake news detection, one-class SVM
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Kim, G.[Gihwan],
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Effective fake news detection using graph and summarization
techniques,
PRL(151), 2021, pp. 135-139.
Elsevier DOI
2110
Fake news detection, Graph neural networks, Summarization, Deep neural networks
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Choi, H.[Hyewon],
Ko, Y.J.[Young-Joong],
Effective fake news video detection using domain knowledge and
multimodal data fusion on youtube,
PRL(154), 2022, pp. 44-52.
Elsevier DOI
2202
Fake news video detection, Domain knowledge, Multimodal data,
Deep neural networks
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CACM(65), No. 4, April 2022, pp. 124-132.
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2204
BibRef
Wei, P.F.[Peng-Fei],
Wu, F.[Fei],
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Modality and Event Adversarial Networks for Multi-Modal Fake News
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SPLetters(29), 2022, pp. 1382-1386.
IEEE DOI
2206
Feature extraction, Fake news, Blogs, Image reconstruction,
Generators, Social networking (online), Deep learning,
multi-modal generator
BibRef
Li, P.G.[Pei-Guang],
Sun, X.[Xian],
Yu, H.F.[Hong-Feng],
Tian, Y.[Yu],
Yao, F.L.[Fang-Long],
Xu, G.L.[Guang-Luan],
Entity-Oriented Multi-Modal Alignment and Fusion Network for Fake
News Detection,
MultMed(24), 2022, pp. 3455-3468.
IEEE DOI
2207
Feature extraction, Visualization, Task analysis,
Heuristic algorithms, Social networking (online), Semantics, Sun,
multi-modal
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Mishima, K.[Ken],
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A Survey on Explainable Fake News Detection,
IEICE(E105-D), No. 7, July 2022, pp. 1249-1257.
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Survey, Fake News.
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Singhal, S.[Shivangi],
Kaushal, R.[Rishabh],
Shah, R.R.[Rajiv Ratn],
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CACM(65), No. 11, November 2022, pp. 80-81.
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2211
BibRef
Zhang, Q.[Qin],
Guo, Z.W.[Zhi-Wei],
Zhu, Y.Y.[Yan-Yan],
Vijayakumar, P.[Pandi],
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A Deep Learning-based Fast Fake News Detection Model for
Cyber-Physical Social Services,
PRL(168), 2023, pp. 31-38.
Elsevier DOI
2304
social service, fake news, fast detection, deep learning, cyber-physical space
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Guo, Z.W.[Zhi-Wei],
Yu, K.P.[Ke-Ping],
Jolfaei, A.[Alireza],
Li, G.[Gang],
Ding, F.[Feng],
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Mixed Graph Neural Network-Based Fake News Detection for Sustainable
Vehicular Social Networks,
ITS(24), No. 12, December 2023, pp. 15486-15498.
IEEE DOI
2312
BibRef
Wei, L.W.[Ling-Wei],
Hu, D.[Dou],
Zhou, W.[Wei],
Hu, S.L.[Song-Lin],
Modeling Both Intra- and Inter-Modality Uncertainty for Multimodal
Fake News Detection,
MultMed(25), 2023, pp. 7906-7916.
IEEE DOI
2312
BibRef
Wang, J.[Jinguang],
Qian, S.S.[Sheng-Sheng],
Hu, J.[Jun],
Hong, R.C.[Ri-Chang],
Positive Unlabeled Fake News Detection via Multi-Modal Masked
Transformer Network,
MultMed(26), 2024, pp. 234-244.
IEEE DOI
2401
BibRef
Wang, J.G.[Jin-Guang],
Qian, S.S.[Sheng-Sheng],
Hu, J.[Jun],
Hong, R.C.[Ri-Chang],
Comment-Context Dual Collaborative Masked Transformer Network for
Fake News Detection,
MultMed(26), 2024, pp. 5170-5180.
IEEE DOI
2404
Fake news, Transformers, Task analysis, COVID-19,
Social networking (online), Collaboration, Visualization, social media
BibRef
Soga, K.[Kayato],
Yoshida, S.[Soh],
Muneyasu, M.[Mitsuji],
Exploiting stance similarity and graph neural networks for fake news
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PRL(177), 2024, pp. 26-32.
Elsevier DOI
2401
Fake news, Graph neural network, Stance analysis, Social media,
Context-based detection
BibRef
Zhang, Z.[Zhen],
Lv, Q.Y.[Qi-Yun],
Jia, X.[Xiyuan],
Yun, W.H.[Wen-Hao],
Miao, G.X.[Gong-Xun],
Mao, Z.Q.[Zong-Qing],
Wu, G.H.[Guo-Hua],
GBCA: Graph Convolution Network and BERT combined with Co-Attention
for fake news detection,
PRL(180), 2024, pp. 26-32.
Elsevier DOI
2404
Fake news detection, Graph Convolution Network, BERT, Co-attention
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Chauhan, P.S.[Preeti S.],
Deepfake: Risks and Opportunities,
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2406
Deepfakes, Artificial intelligence, Fake news, Face recognition,
Identification of persons, Cloning, Ethics, Privacy,
Social networking (online)
BibRef
Gao, X.Y.[Xing-Yu],
Wang, X.[Xi],
Chen, Z.Y.[Zhen-Yu],
Zhou, W.[Wei],
Hoi, S.C.H.[Steven C. H.],
Knowledge Enhanced Vision and Language Model for Multi-Modal Fake
News Detection,
MultMed(26), 2024, pp. 8312-8322.
IEEE DOI
2408
Fake news, Feature extraction, Visualization, Knowledge graphs,
Social networking (online), Knowledge engineering, Task analysis,
vision and language model
BibRef
Wan, M.Y.[Ming-Yu],
Zhong, Y.[Yin],
Gao, X.F.[Xue-Feng],
Lee, Y.M.[Yat Mei],
Huang, C.R.[Chu-Ren],
Fake News, Real Emotions: Emotion Analysis of COVID-19 Infodemic in
Weibo,
AffCom(15), No. 3, July 2024, pp. 815-827.
IEEE DOI
2409
Fake news, COVID-19, Pandemics, Taxonomy, Sentiment analysis,
Social networking (online), Psychology, Emotion, fake news, COVID-19,
gain-versus-loss framing
BibRef
Yang, H.[Hao],
Li, T.C.[Tian-Cheng],
Yan, J.[Junkun],
Elvira, V.[Victor],
Hierarchical Average Fusion With GM-PHD Filters Against FDI and DoS
Attacks,
SPLetters(31), 2024, pp. 934-938.
IEEE DOI
2404
Behavioral sciences, Radio frequency, Fake news,
Information filters, Denial-of-service attack, average fusion
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Mostafa, M.[Mohamed],
Almogren, A.S.[Ahmad S],
Al-Qurishi, M.[Muhammad],
Alrubaian, M.[Majed],
Modality Deep-learning Frameworks for Fake News Detection on Social
Networks: A Systematic Literature Review,
Surveys(57), No. 3, November 2024, pp. xx-yy.
DOI Link
2501
Social computing, deep learning, modality architectures,
unimodal, multimodal, fake news detection, text classification
BibRef
Yu, K.[Kai],
Jiao, S.M.[Shi-Ming],
Ma, Z.L.[Zhi-Ling],
Fake News Detection Based on BERT Multi-domain and Multi-modal Fusion
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CVIU(252), 2025, pp. 104301.
Elsevier DOI
2502
Fake News, BERT, VGG-19, Multimodal Fusion, Multi-Domain Classification
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Ngueajio, M.K.[Mikel K.],
Aryal, S.[Saurav],
Atemkeng, M.[Marcellin],
Washington, G.[Gloria],
Rawat, D.[Danda],
Decoding Fake News and Hate Speech: A Survey of Explainable AI
Techniques,
Surveys(57), No. 7, February 2025, pp. xx-yy.
DOI Link
2503
Fake news, hate speech, explainable AI, interpretable AI,
machine learning techniques
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Wu, F.[Fei],
Chen, S.[Shu],
Gao, G.[Guangwei],
Ji, Y.[Yimu],
Jing, X.Y.[Xiao-Yuan],
Balanced Multi-modal Learning with Hierarchical Fusion for Fake News
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PR(164), 2025, pp. 111485.
Elsevier DOI
2504
Fake news detection, Imbalanced multi-modal learning, Hierarchical Fusion
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Kumar, S.[Sujit],
Agrahari, S.[Shifali],
Soni, P.[Priyank],
Sachdeva, A.[Aayush],
Singh, S.R.[Sanasam Ranbir],
Fake News Detection using Hashtag Context,
PRL(193), 2025, pp. 43-49.
Elsevier DOI
2505
Fake news detection, Misinformation detection, Hashtag information
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Guo, Y.[Ying],
Li, Y.[Yuan],
Zhen, K.[Kexin],
Li, B.X.[Bing-Xin],
Liu, J.[Jie],
CAMFND: Cross-modal adaptive-aware learning for multimodal fake news
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PRL(195), 2025, pp. 1-7.
Elsevier DOI
2506
Fake news detection, Multimodal learning, Adaptive learning, Social media
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Gurjwar, R.K.[Rajiv Kumar],
Kumar, A.[Alok],
Rao, U.P.[Udai Pratap],
EPRVFL: A fast and scalable model for real-time fake news detection,
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Elsevier DOI
2509
Fake news detection, RVFL networks, Real-time classification,
Deep learning alternatives, Fast inference
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Patel, D.[Devendra],
Verma, V.[Vikas],
Tah, S.K.[Shreyas Kumar],
Biswas, S.[Shwetabh],
Biswas, S.[Soma],
FRAUD-Net: Fraud News Detection Using Sample Uncertainty & Domain
Aware Generalized Network,
WACV25(3363-3371)
IEEE DOI
2505
Training, Visualization, Uncertainty, Social networking (online),
Computational modeling, Training data, Transformers, Data models, Web search
BibRef
Papadopoulos, S.I.[Stefanos-Iordanis],
Koutlis, C.[Christos],
Papadopoulos, S.[Symeon],
Petrantonakis, P.C.[Panagiotis C.],
Similarity Over Factuality: Are we Making Progress on Multimodal
Out-of-Context Misinformation Detection?,
WACV25(5041-5050)
IEEE DOI Code:
WWW Link.
2505
Foundation models, Large language models,
Multilayer perceptrons, Transformers, Market research,
automated fact-checking
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Bhattacharya, A.[Amartya],
Brahma, D.[Debarshi],
Nagaje, S.[Suraj],
Asati, A.[Anmol],
Verma, V.[Vikas],
Biswas, S.[Soma],
Can Out-of-Domain Data Help to Learn Domain-Specific Prompts for
Multimodal Misinformation Detection?,
WACV25(2808-2817)
IEEE DOI Code:
WWW Link.
2505
Training, Codes, Computational modeling, Feature extraction,
Data models, Data mining, Fake news, Tuning, Sports
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Devank,
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Biswas, S.[Soma],
COVLM: Leveraging Consensus from Vision-language Models for
Semi-supervised Multi-modal Fake News Detection,
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Springer DOI
2412
BibRef
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Goodridge, W.[Wayne],
Detecting Fake News in MANET Messaging Using an Ensemble Based
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AI4DH22(278-289).
Springer DOI
2208
BibRef
Sciucca, L.D.[Laura Della],
Mameli, M.[Marco],
Balloni, E.[Emanuele],
Rossi, L.[Luca],
Frontoni, E.[Emanuele],
Zingaretti, P.[Primo],
Paolanti, M.[Marina],
FakeNED: A Deep Learning Based-System for Fake News Detection from
Social Media,
ISHAPE22(303-313).
Springer DOI
2208
BibRef
Schütz, M.[Mina],
Schindler, A.[Alexander],
Siegel, M.[Melanie],
Nazemi, K.[Kawa],
Automatic Fake News Detection with Pre-trained Transformer Models,
RISS20(627-641).
Springer DOI
2103
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Mishra, R.,
Fake News Detection using Higher-order User to User Mutual-attention
Progression in Propagation Paths,
WMF20(2775-2783)
IEEE DOI
2008
Feature extraction, Twitter, Linear programming,
Linguistics, Time series analysis
BibRef
Zhou, J.,
Pun, C.M.,
Tong, Y.,
News Image Steganography: A Novel Architecture Facilitates the Fake
News Identification,
VCIP20(235-238)
IEEE DOI
2102
Decoding, Training, Perturbation methods, Forgery,
Printers, Media, image steganography, information hiding,
fake news identification
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Huh, M.Y.[Min-Young],
Liu, A.[Andrew],
Owens, A.[Andrew],
Efros, A.A.[Alexei A.],
Fighting Fake News: Image Splice Detection via Learned Self-Consistency,
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Springer DOI
1810
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Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Face Swapping .