Cybenko, A.K.,
Cybenko, G.,
AI and Fake News,
IEEE_Int_Sys(33), No. 5, Sep. 2018, pp. 1-5.
IEEE DOI
1901
Cultural differences, Intelligent systems,
Social network services, Psychology, Economics, Software
BibRef
de Rezende, E.R.S.[Edmar R.S.],
Ruppert, G.C.S.[Guilherme C.S.],
Theóphilo, A.[Antônio],
Tokuda, E.K.[Eric K.],
Carvalho, T.[Tiago],
Exposing computer generated images by using deep convolutional neural
networks,
SP:IC(66), 2018, pp. 113-126.
Elsevier DOI
1806
Digital forensics, CG detection, Deep learning,
Transfer learning, Fake news
BibRef
Reis, J.C.S.,
Correia, A.,
Murai, F.,
Veloso, A.,
Benevenuto, F.,
Cambria, E.,
Supervised Learning for Fake News Detection,
IEEE_Int_Sys(34), No. 2, March 2019, pp. 76-81.
IEEE DOI
1906
Feature extraction, Facebook, Data mining, IP networks,
Radio frequency, Affective computing
BibRef
de Oliveira, N.R.,
Medeiros, D.S.V.,
Mattos, D.M.F.,
A Sensitive Stylistic Approach to Identify Fake News on Social
Networking,
SPLetters(27), 2020, pp. 1250-1254.
IEEE DOI
2007
Fake news detection, one-class SVM
BibRef
Kim, G.[Gihwan],
Ko, Y.J.[Young-Joong],
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
BibRef
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
BibRef
Nguyen, V.H.[Van-Hoang],
Sugiyama, K.[Kazunari],
Nakov, P.[Preslav],
Kan, M.Y.[Min-Yen],
FANG: Leveraging Social Context for Fake News Detection Using Graph
Representation,
CACM(65), No. 4, April 2022, pp. 124-132.
DOI Link
2204
BibRef
Wei, P.F.[Peng-Fei],
Wu, F.[Fei],
Sun, Y.[Ying],
Zhou, H.[Hong],
Jing, X.Y.[Xiao-Yuan],
Modality and Event Adversarial Networks for Multi-Modal Fake News
Detection,
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
Mishima, K.[Ken],
Yamana, H.[Hayato],
A Survey on Explainable Fake News Detection,
IEICE(E105-D), No. 7, July 2022, pp. 1249-1257.
WWW Link.
2207
Survey, Fake News.
BibRef
Singhal, S.[Shivangi],
Kaushal, R.[Rishabh],
Shah, R.R.[Rajiv Ratn],
Kumaraguru, P.[Ponnurangam],
Fake News in India: Scale, Diversity, Solution, and Opportunities,
CACM(65), No. 11, November 2022, pp. 80-81.
DOI Link
2211
BibRef
Zhang, Q.[Qin],
Guo, Z.W.[Zhi-Wei],
Zhu, Y.Y.[Yan-Yan],
Vijayakumar, P.[Pandi],
Castiglione, A.[Aniello],
Gupta, B.B.[Brij B.],
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
BibRef
Guo, Z.W.[Zhi-Wei],
Yu, K.P.[Ke-Ping],
Jolfaei, A.[Alireza],
Li, G.[Gang],
Ding, F.[Feng],
Beheshti, A.[Amin],
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
detection,
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.[Gongxun],
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
BibRef
Chauhan, P.S.[Preeti S.],
Deepfake: Risks and Opportunities,
Computer(57), No. 6, June 2024, pp. 141-144.
IEEE DOI
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
BibRef
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
Ramkissoon, A.N.[Amit Neil],
Goodridge, W.[Wayne],
Detecting Fake News in MANET Messaging Using an Ensemble Based
Computational Social System,
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
BibRef
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
BibRef
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,
ECCV18(XI: 106-124).
Springer DOI
1810
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Face Swapping .