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Over the last years, there has been an unprecedented proliferation of fake news.
Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
Sanh, V., Debut, L., Chaumond, J., & Wolf, T. (2019) · 1910
Earlier work this paper cites.
Long Short-Term Memory
Hochreiter, S., & Schmidhuber, J. (1997) · 1997
Earlier work this paper cites.
Random Forests
Breiman, L. (2001) · 2001
Earlier work this paper cites.
Logistic Regression
Kleinbaum, D. G., & Klein, M. (2010) · 2010
Earlier work this paper cites.
Fighting an infodemic: Covid-19 fake news dataset
Patwa, P., Sharma, S., Pykl, S., Guptha, V., Kumari, G., Akhtar, M. S., Ekbal, A., Das, A., & Chakraborty, T. (2020) · 2011
Earlier work this paper cites.
Naive bayes
Barber, D. (2012) · 2012
Earlier work this paper cites.
Empirical evaluation of gated recurrent neural networks on sequence modeling
Chung, J., Gulcehre, C., Cho, K., & Bengio, Y. (2014) · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma, D. P., & Ba, J. (2014) · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Pennington, J., Socher, R., & Manning, C. D. (2014) · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Simonyan, K., & Zisserman, A. (2014) · 2014
Earlier work this paper cites.
Verifying Multimedia Use at MediaEval 2015
Boididou, C., Andreadou, K., Papadopoulos, S., Dang-Nguyen, D.-T., Boato, G., Riegler, M., Kompatsiaris, Y. et al. (2015) · 2015
Earlier work this paper cites.
Deep learning for sentiment analysis: successful approaches and future challenges
Tang, D., Qin, B., & Liu, T. (2015) · 2015
Earlier work this paper cites.
Convolutional networks
Goodfellow, I., Bengio, Y., & Courville, A. (2016) · 2016
Earlier work this paper cites.
Social media and fake news in the 2016 election
Hunt, A., & Gentzkow, M. (2017) · 2016
Earlier work this paper cites.
Hierarchical attention networks for document classification
Yang, Z., Yang, D., Dyer, C., He, X., Smola, A., & Hovy, E. (2016) · 2016
Earlier work this paper cites.
Detection of online fake news using n-gram analysis and machine learning techniques
Ahmed, H., Traore, I., & Saad, S. (2017) · 2017
Earlier work this paper cites.
'Pizzagate' shooter sentenced to 4 years in prison
Hauck, G. (2017) · 2017
Earlier work this paper cites.
Multimodal fusion with recurrent neural networks for rumor detection on microblogs
Jin, Z., Cao, J., Guo, H., Zhang, Y., & Luo, J. (2017) · 2017
Earlier work this paper cites.
Towards lower bounds on number of dimensions for word embeddings
Patel, K., & Bhattacharyya, P. (2017) · 2017
Earlier work this paper cites.
Dynamic routing between capsules
Sabour, S., Frosst, N., & Hinton, G. E. (2017) · 2017
Earlier work this paper cites.
Multimodal Classification of Document Embedded Images
Viana, M., Nguyen, Q.-B., Smith, J., & Gabrani, M. (2017) · 2017
Earlier work this paper cites.
"Liar, Liar Pants on Fire": A new benchmark dataset for fake news detection
Wang, W. Y. (2017) · 2017
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Exploiting context for rumour detection in social media
Zubiaga, A., Liakata, M., & Procter, R. (2017) · 2017
Cited alongside, same era.
Recurrent neural networks
Aggarwal, C. C. (2018) · 2018
Cited alongside, same era.
Deep learning in natural language processing
Deng, L., & Liu, Y. (2018) · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · 2018
Cited alongside, same era.
A family of falsehoods: Deception, media hoaxes and fake news
DeepNet: An Efficient Neural Network for Fake News Detection using News-User Engagements
Kaliyar, R. K., Kumar, P., Kumar, M., Narkhede, M., Namboodiri, S., & Mishra, S. (2020) · 2020
Later among the works it cites.
Fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection
Nakamura, K., Levy, S., & Wang, W. Y. (2020) · 2020
Later among the works it cites.
FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media
Shu, K., Mahudeswaran, D., Wang, S., Lee, D., & Liu, H. (2020) · 2020
Later among the works it cites.
Introduction to Multimodal Deep Learning
Baheti, P. (2020) · 2021
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A Gentle Introduction to Early Stopping to Avoid Overtraining Neural Networks
Brownlee, J. () · 2021
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BerConvoNet: A deep learning framework for fake news classification
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Finneman, T., & Thomas, R. J. (2018) · 2018
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Deep Learning Algorithms for Detecting Fake News in Online Text
Girgis, S., Amer, E., & Gadallah, M. (2018) · 2018
Cited alongside, same era.
Deep learning approaches for question answering system
Sharma, Y., & Gupta, S. (2018) · 2018
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Fake news detection: a deep learning approach
Thota, A., Tilak, P., Ahluwalia, S., & Lohia, N. (2018) · 2018
Cited alongside, same era.
EANN: Event adversarial neural networks for multi-modal fake news detection
Wang, Y., Ma, F., Jin, Z., Yuan, Y., Xun, G., Jha, K., Su, L., & Gao, J. (2018) · 2018
Cited alongside, same era.
Object detection with deep learning: A review
Zhao, Z.-Q., Zheng, P., Xu, S.-T., & Wu, X. (2019) · 2018
Cited alongside, same era.
Online fake news is costing us $78 billion globally each year
Brown, E. (2019) · 2019
Cited alongside, same era.
Choudhary, M., Chouhan, S. S., Pilli, E. S., & Vipparthi, S. K. (2021) · 2021
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Transformers
Face, H. () · 2021
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Detecting fake news with capsule neural networks
Goldani, M. H., Momtazi, S., & Safabakhsh, R. (2021) · 2021
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Quantifying the effects of fake news on behavior: Evidence from a study of COVID-19 misinformation
Greene, C. M., & Murphy, G. (2021) · 2021
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COVID-19 vaccine rumors and conspiracy theories: The need for cognitive inoculation against misinformation to improve vaccine adherence
Islam, M., Kamal, A.-H., Kabir, A., Southern, D., Khan, S., Hasan, S., Sarkar, T., Sharmin, S., Das, S., Roy, T., Harun, G. D., Chughtai, A., Homaira, N., & Seale, H. (2021) · 2021
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FakeNewsNet
Kaggle (a) · 2021
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Getting Real about Fake News
Kaggle (b) · 2021
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Fake news detection with heterogenous deep graph convolutional network
Kang, Z., Cao, Y., Shang, Y., Liang, T., Tang, H., & Tong, L. (2021) · 2021
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Multimodal Detection of Information Disorder from Social Media
Kirchknopf, A., Slijepcevic, D., & Zeppelzauer, M. (2021) · 2021
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AMFB: Attention based multimodal Factorized Bilinear Pooling for multimodal Fake News Detection
Kumari, R., & Ekbal, A. (2021) · 2021
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Entity-Oriented Multi-Modal Alignment and Fusion Network for Fake News Detection
Li, P., Sun, X., Yu, H., Tian, Y., Yao, F., & Xu, G. (2021) · 2021
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Detecting fake news stories via multimodal analysis
Singh, V. K., Ghosh, I., & Sonagara, D. (2021) · 2021
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Convolutional Neural Networks for Text
Voita, E. (2021) · 2021
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Evaluating deep learning approaches for Covid19 fake news detection
Wani, A., Joshi, I., Khandve, S., Wagh, V., & Joshi, R. (2021) · 2021
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SERN: Stance Extraction and Reasoning Network for Fake News Detection
Xie, J., Liu, S., Liu, R., Zhang, Y., & Zhu, Y. (2021) · 2021
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