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Short video platforms have become an important channel for news sharing, but also a new breeding ground for fake news.
Constructing the Affective Lexicon Ontology
Xu, L.; Lin, H.; Pan, Y.; Ren, H.; and Chen, J. 2008 · 2008
Earlier work this paper cites.
Making a “Completely Blind” Image Quality Analyzer
Mittal, A.; Soundararajan, R.; and Bovik, A. C. 2012 · 2012
Earlier work this paper cites.
Convolutional Neural Networks for Sentence Classification
Kim, Y. 2014 · 2014
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
Kingma, D. P.; and Ba, J. 2015 · 2015
Earlier work this paper cites.
Faster R-CNN: Towards Real-time Object Detection with Region Proposal Networks
Ren, S.; He, K.; Girshick, R.; and Sun, J. 2015 · 2015
Earlier work this paper cites.
Very Deep Convolutional Networks for Large-Scale Image Recognition
Simonyan, K.; and Zisserman, A. 2015 · 2015
Earlier work this paper cites.
Learning Spatiotemporal Features with 3d Convolutional Networks
Tran, D.; Bourdev, L.; Fergus, R.; Torresani, L.; and Paluri, M. 2015 · 2015
Earlier work this paper cites.
Modeling spatial-temporal clues in a hybrid deep learning framework for video classification
Wu, Z.; Wang, X.; Jiang, Y.-G.; Ye, H.; and Xue, X. 2015 · 2015
Earlier work this paper cites.
Verifying Multimedia Use at MediaEval 2016
Boididou, C.; Papadopoulos, S.; Dang-Nguyen, D.-T.; Boato, G.; Riegler, M.; Middleton, S. E.; Petlund, A.; Kompatsiaris, Y.; et al. 2016 · 2016
Earlier work this paper cites.
CNN Architectures for Large-scale Audio Classification
Hershey, S.; Chaudhuri, S.; Ellis, D. P.; Gemmeke, J. F.; Jansen, A.; Moore, R. C.; Plakal, M.; Platt, D.; Saurous, R. A.; Seybold, B.; et al. 2017 · 2017
Earlier work this paper cites.
Fake News Detection on Social Media: A Data Mining Perspective
Shu, K.; Sliva, A.; Wang, S.; Tang, J.; and Liu, H. 2017 · 2017
Earlier work this paper cites.
Attention Is All You Need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
Earlier work this paper cites.
Recognition of Human Speech Emotion Using Variants of Mel-frequency Cepstral Coefficients
Palo, H. K.; Chandra, M.; and Mohanty, M. N. 2018 · 2018
Cited alongside, same era.
A Corpus of Debunked and Verified User-Generated Videos
Papadopoulou, O.; Zampoglou, M.; Papadopoulos, S.; and Kompatsiaris, I. 2018 · 2018
Cited alongside, same era.
Understanding User Profiles on Social Media for Fake News Detection
Shu, K.; Wang, S.; and Liu, H. 2018 · 2018
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
Cited alongside, same era.
Towards Automatic Detection of Misinformation in Online Medical Videos
Hou, R.; Pérez-Rosas, V.; Loeb, S.; and Mihalcea, R. 2019 · 2019
Cited alongside, same era.
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
NLP-based Feature Extraction for the Detection of COVID-19 Misinformation Videos on YouTube
Medina, S. J. C.; Papakyriakopoulos, O.; Hegelich, S.; and Hegelich, S. 2020 · 2020
Later among the works it cites.
Using Topic Modeling and Adversarial Neural Networks for Fake News Video Detection
Choi, H.; and Ko, Y. 2021 · 2021
Later among the works it cites.
Dataset of Fake News Detection and Fact Verification: A Survey
Murayama, T. 2021 · 2021
Later among the works it cites.
Improving Fake News Detection by Using an Entity-Enhanced Framework to Fuse Diverse Multimodal Clues
Qi, P.; Cao, J.; Li, X.; Liu, H.; Sheng, Q.; Mi, X.; He, Q.; Lv, Y.; Guo, C.; and Yu, Y. 2021 · 2021
Later among the works it cites.
A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTok
Shang, L.; Kou, Z.; Zhang, Y.; and Wang, D. 2021 · 2021
Later among the works it cites.
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Lu, J.; Batra, D.; Parikh, D.; and Lee, S. 2019 · 2019
Cited alongside, same era.
Misleading Metadata Detection on YouTube
Palod, P.; Patwari, A.; Bahety, S.; Bagchi, S.; and Goyal, P. 2019 · 2019
Cited alongside, same era.
Exploiting Multi-Domain Visual Information for Fake News Detection
Qi, P.; Cao, J.; Yang, T.; Guo, J.; and Li, J. 2019 · 2019
Cited alongside, same era.
The Role of User Profiles for Fake News Detection
Shu, K.; Zhou, X.; Wang, S.; Zafarani, R.; and Liu, H. 2019b · 2019
Cited alongside, same era.
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Baevski, A.; Zhou, Y.; Mohamed, A.; and Auli, M. 2020 · 2020
Cited alongside, same era.
Exploring the Role of Visual Content in Fake News Detection
Cao, J.; Qi, P.; Sheng, Q.; Yang, T.; Guo, J.; and Li, J. 2020 · 2020
Cited alongside, same era.
Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs
Jin, Z.; Cao, J.; Guo, H.; Zhang, Y.; and Luo, J. 2017a
Cited in the paper.
Seeing is believing: Is Video Modality More Powerful in Spreading Fake News via Online Messaging Apps?
Sundar, S. S.; Molina, M. D.; and Cho, E. 2021 · 2021
Later among the works it cites.
Mining Dual Emotion for Fake News Detection
Zhang, X.; Cao, J.; Li, X.; Sheng, Q.; Zhong, L.; and Shu, K. 2021 · 2021
Later among the works it cites.
pHash: The Open Source Perceptual Hash Library
Klinger, E.; and Starkweather, D. 2008 · 2022
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A CNN-based Misleading Video Detection Model
Li, X.; Xiao, X.; Li, J.; Hu, C.; Yao, J.; and Li, S. 2022 · 2022
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News Consumption Across Social Media in 2021
Walker, M.; and Matsa, K. E. 2021 · 2022
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User Preference-Aware Fake News Detection
Dou, Y.; Shu, K.; Xia, C.; Yu, P. S.; and Sun, L. 2021 · 2055
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