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The proliferation of fake news has emerged as a severe societal problem, raising significant interest from industry and academia.
Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020 · 2001
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Thinking, fast and slow
Kahneman Daniel. 2017 · 2017
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"liar, liar pants on fire": A new benchmark dataset for fake news detection
William Yang Wang. 2017 · 2017
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Where is your evidence: Improving fact-checking by justification modeling
Tariq Alhindi, Savvas Petridis, and Smaranda Muresan. 2018 · 2018
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Learning explanatory rules from noisy data (extended abstract)
Richard Evans and Edward Grefenstette. 2018 · 2018
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Robust physical-world attacks on deep learning visual classification
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, and Dawn Song. 2018 · 2018
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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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defend: A system for explainable fake news detection
Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, and Huan Liu. 2019 · 2019
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The global landscape of AI ethics guidelines
Anna Jobin, Marcello Ienca, and Effy Vayena. 2019 · 2019
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Explanation in artificial intelligence: Insights from the social sciences
Tim Miller. 2019 · 2019
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Generating fact checking briefs
Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, and Sebastian Riedel. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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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
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Thinking fast and slow in AI
Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, and Biplav Srivastava. 2021 · 2021
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pix2rule: End-to-end neuro-symbolic rule learning
Nuri Cingillioglu and Alessandra Russo. 2021 · 2021
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Infosurgeon: Cross-media fine-grained information consistency checking for fake news detection
Yi R. Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen R. McKeown, Mohit Bansal, and Avi Sil. 2021 · 2021
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Making pre-trained language models better few-shot learners
Tianyu Gao, Adam Fisch, and Danqi Chen. 2021 · 2021
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Fighting an infodemic: COVID-19 fake news dataset
Parth Patwa, Shivam Sharma, Srinivas PYKL, Vineeth Guptha, Gitanjali Kumari, Md. Shad Akhtar, Asif Ekbal, Amitava Das, and Tanmoy Chakraborty. 2021 · 2021
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Improving fake news detection by using an entity-enhanced framework to fuse diverse multimodal clues
Peng Qi, Juan Cao, Xirong Li, Huan Liu, Qiang Sheng, Xiaoyue Mi, Qin He, Yongbiao Lv, Chenyang Guo, and Yingchao Yu. 2021 · 2021
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Rnnlogic: Learning logic rules for reasoning on knowledge graphs
Meng Qu, Junkun Chen, Louis-Pascal A. C. Xhonneux, Yoshua Bengio, and Jian Tang. 2021 · 2021
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Embracing domain differences in fake news: Cross-domain fake news detection using multi-modal data
Amila Silva, Ling Luo, Shanika Karunasekera, and Christopher Leckie. 2021 · 2021
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A survey of fake news: Fundamental theories, detection methods, and opportunities
Xinyi Zhou and Reza Zafarani. 2021 · 2021
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Generating literal and implied subquestions to fact-check complex claims
Jifan Chen, Aniruddh Sriram, Eunsol Choi, and Greg Durrett. 2022 · 2022
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Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2022 · 2022
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Prototypical verbalizer for prompt-based few-shot tuning
Ganqu Cui, Shengding Hu, Ning Ding, Longtao Huang, and Zhiyuan Liu. 2022 · 2022
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Neuro-symbolic hierarchical rule induction
Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, and Jianye Hao. 2022 · 2022
MUSER: A multi-step evidence retrieval enhancement framework for fake news detection
Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, and Xing Xie. 2023 · 2023
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Interpretable multimodal misinformation detection with logic reasoning
Hui Liu, Wenya Wang, and Haoliang Li. 2023 · 2023
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Improving rumor detection by promoting information campaigns with transformer-based generative adversarial learning
Jing Ma, Jun Li, Wei Gao, Yang Yang, and Kam-Fai Wong. 2023 · 2023
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Human-in-the-loop evaluation for early misinformation detection: A case study of COVID-19 treatments
Ethan Mendes, Yang Chen, Wei Xu, and Alan Ritter. 2023 · 2023
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Proving test set contamination in black box language models
Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, and Tatsunori B. Hashimoto. 2023 · 2023
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Rethinking attention-model explainability through faithfulness violation test
Yibing Liu, Haoliang Li, Yangyang Guo, Chenqi Kong, Jing Li, and Shiqi Wang. 2022 · 2022
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Tackling fake news detection by continually improving social context representations using graph neural networks
Nikhil Mehta, Maria Leonor Pacheco, and Dan Goldwasser. 2022 · 2022
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Characterizing multi-domain false news and underlying user effects on chinese weibo
Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, and Huan Liu. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou. 2022 · 2022
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A survey of human-in-the-loop for machine learning
Xingjiao Wu, Luwei Xiao, Yixuan Sun, Junhang Zhang, Tianlong Ma, and Liang He. 2022 · 2022
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Evidence-aware fake news detection with graph neural networks
Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, and Liang Wang. 2022 · 2022
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Neuro-symbolic rule learning in real-world classification tasks
Kexin Gu Baugh, Nuri Cingillioglu, and Alessandra Russo. 2023 · 2023
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Fact-checking complex claims with program-guided reasoning
Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, and Preslav Nakov. 2023 · 2023
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Towards reliable misinformation mitigation: Generalization, uncertainty, and GPT-4
Kellin Pelrine, Anne Imouza, Camille Thibault, Meilina Reksoprodjo, Caleb Gupta, Joel Christoph, Jean-François Godbout, and Reihaneh Rabbany. 2023 · 2023
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Direct preference optimization: Your language model is secretly a reward model
Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, and Chelsea Finn. 2023 · 2023
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PolitiFact
Katie Sanders. 2023 · 2023
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Combating disinformation on social media and its challenges: A computational perspective
Kai Shu. 2023 · 2023
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HKBU Fact Check
Stephanie Jean Tsang. 2023 · 2023
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Explainable claim verification via knowledge-grounded reasoning with large language models
Haoran Wang and Kai Shu. 2023 · 2023
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Trustworthy machine learning: Robustness, generalization, and interpretability
Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, and Xing Xie. 2023a · 2023
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Interpretability in the wild: a circuit for indirect object identification in GPT-2 small
Kevin Ro Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, and Jacob Steinhardt. 2023b · 2023
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Bootstrapping multi-view representations for fake news detection
Qichao Ying, Xiaoxiao Hu, Yangming Zhou, Zhenxing Qian, Dan Zeng, and Shiming Ge. 2023 · 2023
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Metaadapt: Domain adaptive few-shot misinformation detection via meta learning
Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, and Dong Wang. 2023 · 2023
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Memory-guided multi-view multi-domain fake news detection
Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, and Fuzhen Zhuang. 2023 · 2023
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Robust domain misinformation detection via multi-modal feature alignment
Hui Liu, Wenya Wang, Hao Sun, Anderson Rocha, and Haoliang Li. 2024 · 2024
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Sniffer: Multimodal large language model for explainable out-of-context misinformation detection
Peng Qi, Zehong Yan, Wynne Hsu, and Mong Li Lee. 2024 · 2024
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Evidence-driven retrieval augmented response generation for online misinformation
Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu Shang, Yang Zhang, and Dong Wang. 2024 · 2024
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