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Despite the recent attention to DeepFakes, one of the most prevalent ways to mislead audiences on social media is the use of unaltered images in a new but false context.
Rumor has it: Identifying misinformation in microblogs
Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev, and Q. Mei · 2011
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Prominent features of rumor propagation in online social media
Sejeong Kwon, Meeyoung Cha, K. Jung, Wei Chen, and Y. Wang · 2013
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning · 2014
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Real-time rumor debunking on twitter
X. Liu, A. Nourbakhsh, Quanzhi Li, R. Fang, and S. Shah · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Detecting rumors from microblogs with recurrent neural networks
J. Ma, Wei Gao, P. Mitra, Sejeong Kwon, Bernard J. Jansen, K. Wong, and Meeyoung Cha · 2016
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Modeling context in referring expressions
Licheng Yu, Patrick Poirson, Shan Yang, C. Alexander Berg, and L. Tamara Berg · 2016
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Enriching word vectors with subword information
P. Bojanowski, E. Grave, Armand Joulin, and Tomas Mikolov · 2017
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Deepfakes, 2017
2017
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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Multimodal fusion with recurrent neural networks for rumor detection on microblogs
Zhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, and Jiebo Luo · 2017
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Csi: A hybrid deep model for fake news detection
N. Ruchansky, Sungyong Seo, and Y. Liu · 2017
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, undefinedukasz Kaiser, and Illia Polosukhin · 2017
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“liar, liar pants on fire”: A new benchmark dataset for fake news detection
William Yang Wang · 2017
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Spotting icebergs by the tips: Rumor and persuasion campaign detection in social media
Zhe Zhao · 2017
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Two-stream neural networks for tampered face detection, Jul 2017
Peng Zhou, Xintong Han, Vlad I. Morariu, and Larry S. Davis · 2017
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Mesonet: a compact facial video forgery detection network, Dec 2018
Darius Afchar, Vincent Nozick, Junichi Yamagishi, and Isao Echizen · 2018
Cited alongside, same era.
Universal sentence encoder for English
Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Brian Strope, and Ray Kurzweil · 2018
Cited alongside, same era.
Forensictransfer: Weakly-supervised domain adaptation for forgery detection
Davide Cozzolino, Justus Thies, Andreas Rössler, Christian Riess, Matthias Nießner, and Luisa Verdoliva · 2018
Cited alongside, same era.
Faceswap gan, 2018
2018
Cited alongside, same era.
Exposing deepfake videos by detecting face warping artifacts, 2018
Yuezun Li and Siwei Lyu · 2018
Cited alongside, same era.
Detect rumor and stance jointly by neural multi-task learning
Faceforensics++: Learning to detect manipulated facial images
A. Rössler, D. Cozzolino, L. Verdoliva, C. Riess, J. Thies, and M. Niessner · 2019
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It takes nine to smell a rat: Neural multi-task learning for check-worthiness prediction
Slavena Vasileva, Pepa Atanasova, Lluís Màrquez, Alberto Barrón-Cedeño, and Preslav Nakov · 2019
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Exposing deep fakes using inconsistent head poses
Xin Yang, Yuezun Li, and Siwei Lyu · 2019
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Fact-checking meets fauxtography: Verifying claims about images
Dimitrina Zlatkova, Preslav Nakov, and Ivan Koychev · 2019
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Generalized zero and few-shot transfer for facial forgery detection, 2020
Shivangi Aneja and Matthias Nießner · 2020
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Nyt developer api, 2020
NYT Developer API · 2020
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J. Ma, Wei Gao, and K. Wong · 2018
Cited alongside, same era.
Rumor detection on twitter with tree-structured recursive neural networks
Jing Ma, Wei Gao, and K. Wong · 2018
Cited alongside, same era.
FEVER: a large-scale dataset for fact extraction and VERification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal · 2018
Cited alongside, same era.
Eann: Event adversarial neural networks for multi-modal fake news detection
Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, and Jing Gao · 2018
Cited alongside, same era.
Fauxbuster: A content-free fauxtography detector using social media comments
Daniel Zhang, Lanyu Shang, Biao Geng, Shuyue Lai, Ke Li, Hongmin Zhu, Tanvir Amin, and Dong Wang · 2018
Cited alongside, same era.
Protecting World Leaders Against Deep Fakes
Shruti Agarwal, Hany Farid, Yuming Gu, Mingming He, Koki Nagano, and Hao Li · 2019
Cited alongside, same era.
Automatic fact-checking using context and discourse information
Pepa Atanasova, Preslav Nakov, Lluís Màrquez i Villodre, A. Barrón-Cedeño, Georgi Karadzhov, Tsvetomila Mihaylova, Mitra Mohtarami, and James R. Glass · 2019
Cited alongside, same era.
Later among the works it cites.
Generating fact checking explanations
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, and Isabelle Augenstein · 2020
Later among the works it cites.
Id-reveal: Identity-aware deepfake video detection, 2020
Davide Cozzolino, Andreas Rössler, Justus Thies, Matthias Nießner, and Luisa Verdoliva · 2020
Later among the works it cites.
Out-of-context photos are a powerful low-tech form of misinformation, 2020
Lisa Fazio · 2020
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Face x-ray for more general face forgery detection
Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, and Baining Guo · 2020
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Multi-hop fact checking of political claims, 2020
Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, and Isabelle Augenstein · 2020
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Deepfacelab: A simple, flexible and extensible face swapping framework, 2020
Ivan Petrov, Daiheng Gao, Nikolay Chervoniy, Kunlin Liu, Sugasa Marangonda, Chris Umé, Mr. Dpfks, Carl Shift Facenheim, Luis RP, Jian Jiang, Sheng Zhang, Pingyu Wu, Bo Zhou, and Weiming Zhang · 2020
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Poynter : The international fact-checking network, 2020
Poynter · 2020
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Fauxward: a graph neural network approach to fauxtography detection using social media comments
Lanyu Shang, Yang Zhang, Daniel Zhang, and D. Wang · 2020
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Detecting cross-modal inconsistency to defend against neural fake news, 2020
Reuben Tan, Bryan A. Plummer, and Kate Saenko · 2020
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Media forensics and deepfakes: An overview
L. Verdoliva · 2020
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SBERT-WK: A sentence embedding method by dissecting bert-based word models
Bin Wang and C.C. Jay Kuo · 2020
Later among the works it cites.