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Fake news detection has been a critical task for maintaining the health of the online news ecosystem.
Estimation procedures for structural time series models
Andrew C Harvey and Simon Peters. 1990 · 1990
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Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Fake news detection on social media: A data mining perspective
Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, and Huan Liu. 2017 · 2017
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All-in-one: Multi-task learning for rumour verification
Elena Kochkina, Maria Liakata, and Arkaitz Zubiaga. 2018 · 2018
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Forecasting at scale
Sean J Taylor and Benjamin Letham. 2018 · 2018
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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 · 2018
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Sentiment aware fake news detection on online social networks
Oluwaseun Ajao, Deepayan Bhowmik, and Shahrzad Zargari. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Neural temporality adaptation for document classification: Diachronic word embeddings and domain adaptation models
Xiaolei Huang and Michael J. Paul. 2019 · 2019
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Learning hierarchical discourse-level structure for fake news detection
Hamid Karimi and Jiliang Tang. 2019 · 2019
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Exploiting multi-domain visual information for fake news detection
Peng Qi, Juan Cao, Tianyun Yang, Junbo Guo, and Jintao Li. 2019 · 2019
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Sentence-BERT: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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dEFEND: Explainable Fake News Detection
Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, and Huan Liu. 2019 · 2019
Cited alongside, same era.
Network-based fake news detection: A pattern-driven approach
Xinyi Zhou and Reza Zafarani. 2019 · 2019
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FANG: Leveraging social context for fake news detection using graph representation
Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, and Min-Yen Kan. 2020 · 2020
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Capturing the style of fake news
Piotr Przybyla. 2020 · 2020
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Temporally-informed analysis of named entity recognition
Shruti Rijhwani and Daniel Preotiuc-Pietro. 2020 · 2020
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That is a known lie: Detecting previously fact-checked claims
Shaden Shaar, Nikolay Babulkov, Giovanni Da San Martino, and Preslav Nakov. 2020 · 2020
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Integrating pattern- and fact-based fake news detection via model preference learning
Qiang Sheng, Xueyao Zhang, Juan Cao, and Lei Zhong. 2021 · 2021
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Mining dual emotion for fake news detection
Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, and Kai Shu. 2021 · 2021
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Temporal generalization for spoken language understanding
Judith Gaspers, Anoop Kumar, Greg Ver Steeg, and Aram Galstyan. 2022 · 2022
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Detect rumors in microblog posts for low-resource domains via adversarial contrastive learning
Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, and Chen Guang. 2022 · 2022
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Divide-and-conquer: Post-user interaction network for fake news detection on social media
Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, and Sophia Ananiadou. 2022 · 2022
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FakeNewsNet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu. 2020 · 2020
Cited alongside, same era.
Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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Pre-training with whole word masking for Chinese BERT
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, and Ziqing Yang. 2021 · 2021
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AdaRNN: Adaptive learning and forecasting for time series
Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Pan, Tao Qin, Renjun Xu, and Chongjun Wang. 2021 · 2021
Cited alongside, same era.
FakeFlow: Fake news detection by modeling the flow of affective information
Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso, and Francisco Rangel. 2021 · 2021
Cited alongside, same era.
MDFEND: Multi-domain fake news detection
Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, and Jintao Li. 2021 · 2021
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Domain adaptive fake news detection via reinforcement learning
Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, and Huan Liu. 2022 · 2022
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Improving fake news detection of influential domain via domain- and instance-level transfer
Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, and Jintao Li. 2022 · 2022
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The vast majority of content we take action on for misinformation is identified proactively
Yoel Roth. 2022 · 2022
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Zoom out and observe: News environment perception for fake news detection
Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, and Yongchun Zhu. 2022 · 2022
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Generalizing to unseen domains: A survey on domain generalization
Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, and Philip Yu. 2022 · 2022
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Combating online misinformation videos: Characterization, detection, and future directions
Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, and Jintao Li. 2023 · 2023
Closest in time.
It’s about time: Rethinking evaluation on rumor detection benchmarks using chronological splits
Yida Mu, Kalina Bontcheva, and Nikolaos Aletras. 2023 · 2023
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