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Misinformation poses a critical societal challenge, and current approaches have yet to produce an effective solution.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1911
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Improving generalizability of fake news detection methods using propensity score matching
Bo Ni, Zhichun Guo, Jianing Li, and Meng Jiang. 2020 · 2002
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Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2020 · 2006
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Squeezebert: What can computer vision teach nlp about efficient neural networks?
Forrest N Iandola, Albert E Shaw, Ravi Krishna, and Kurt W Keutzer. 2020 · 2006
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Luke: Deep contextualized entity representations with entity-aware self-attention
Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, and Yuji Matsumoto. 2020 · 2010
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Smooth isotonic regression: a new method to calibrate predictive models
Xiaoqian Jiang, Melanie Osl, Jihoon Kim, and Lucila Ohno-Machado. 2011 · 2011
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Using soft-hard fusion for misinformation detection and pattern of life analysis in osint
Georgiy Levchuk and Charlotte Shabarekh. 2017 · 2017
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Fake news detection through multi-perspective speaker profiles
Yunfei Long, Qin Lu, Rong Xiang, Minglei Li, and Chu-Ren Huang. 2017 · 2017
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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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“liar, liar pants on fire”: A new benchmark dataset for fake news detection
William Yang Wang. 2017 · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Semi-supervised content-based detection of misinformation via tensor embeddings
Gisel Bastidas Guacho, Sara Abdali, Neil Shah, and Evangelos E Papalexakis. 2018 · 2018
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Multi-depth graph convolutional networks for fake news detection
Guoyong Hu, Ye Ding, Shuhan Qi, Xuan Wang, and Qing Liao. 2019 · 2019
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Combating fake news: A survey on identification and mitigation techniques
Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, and Yan Liu. 2019 · 2019
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Conquering cross-source failure for news credibility: Learning generalizable representations beyond content embedding
Yen-Hao Huang, Ting-Wei Liu, Ssu-Rui Lee, Fernando Henrique Calderon Alvarado, and Yi-Shin Chen. 2020 · 2020
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Convbert: Improving bert with span-based dynamic convolution
Zi-Hang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, and Shuicheng Yan. 2020 · 2020
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Adding seemingly uninformative labels helps in low data regimes
Christos Matsoukas, Albert Bou Hernandez, Yue Liu, Karin Dembrower, Gisele Miranda, Emir Konuk, Johan Fredin Haslum, Athanasios Zouzos, Peter Lindholm, Fredrik Strand, et al. 2020 · 2020
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Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities
Priyanka Meel and Dinesh Kumar Vishwakarma. 2020 · 2020
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Confidence-aware learning for deep neural networks
Jooyoung Moon, Jihyo Kim, Younghak Shin, and Sangheum Hwang. 2020 · 2020
Cited alongside, same era.
Combating disinformation in a social media age
Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora H Nazer, Kaize Ding, Mansooreh Karami, and Huan Liu. 2020 · 2020
Cited alongside, same era.
Synthetic lies: Understanding ai-generated misinformation and evaluating algorithmic and human solutions
Jiawei Zhou, Yixuan Zhang, Qianni Luo, Andrea G Parker, and Munmun De Choudhury. 2023 · 2020
Cited alongside, same era.
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U Rajendra Acharya, et al. 2021 · 2021
Cited alongside, same era.
Fakebert: Fake news detection in social media with a bert-based deep learning approach
Rohit Kumar Kaliyar, Anurag Goswami, and Pratik Narang. 2021 · 2021
Cited alongside, same era.
Combining human and machine confidence in truthfulness assessment
Yunke Qu, Kevin Roitero, David La Barbera, Damiano Spina, Stefano Mizzaro, and Gianluca Demartini. 2022 · 2022
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Detecting and mitigating the dissemination of fake news: Challenges and future research opportunities
Wajiha Shahid, Bahman Jamshidi, Saqib Hakak, Haruna Isah, Wazir Zada Khan, Muhammad Khurram Khan, and Kim-Kwang Raymond Choo. 2022 · 2022
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Exploring generalizability of fine-tuned models for fake news detection
Abhijit Suprem, Sanjyot Vaidya, and Calton Pu. 2022 · 2022
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icompass at checkthat! 2022: combining deep language models for fake news detection
Bilel Taboubi, Mohamed Aziz Ben Nessir, and Hatem Haddad. 2022 · 2022
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ur-iw-hnt at checkthat! 2022: cross-lingual text summarization for fake news detection
Hoai Nam Tran and Udo Kruschwitz. 2022 · 2022
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A benchmark study of machine learning models for online fake news detection
Junaed Younus Khan, Md Tawkat Islam Khondaker, Sadia Afroz, Gias Uddin, and Anindya Iqbal. 2021 · 2021
Cited alongside, same era.
Battling fake news: A survey on mitigation techniques and identification
PJS Kumar, Polagani Rama Devi, N Raghavendra Sai, S Sai Kumar, and Tharini Benarji. 2021 · 2021
Cited alongside, same era.
On unifying misinformation detection
Nayeon Lee, Belinda Z Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, and Madian Khabsa. 2021 · 2021
Cited alongside, same era.
Measuring the impact of covid-19 vaccine misinformation on vaccination intent in the uk and usa
Sahil Loomba, Alexandre de Figueiredo, Simon J Piatek, Kristen de Graaf, and Heidi J Larson. 2021 · 2021
Cited alongside, same era.
The surprising performance of simple baselines for misinformation detection
Kellin Pelrine, Jacob Danovitch, and Reihaneh Rabbany. 2021 · 2021
Cited alongside, same era.
Is dynamic rumor detection on social media viable? an unsupervised perspective
Chahat Raj and Priyanka Meel. 2021 · 2021
Cited alongside, same era.
Using fuzzy clustering with deep learning models for detection of covid-19 disinformation
Mu-Yen Chen and Yi-Wei Lai. 2022 · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022
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Probing spurious correlations in popular event-based rumor detection benchmarks
Jiaying Wu and Bryan Hooi. 2022 · 2022
Later among the works it cites.
Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al. 2023 · 2023
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How is chatgpt’s behavior changing over time?
Lingjiao Chen, Matei Zaharia, and James Zou. 2023 · 2023
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Improving factuality and reasoning in language models through multiagent debate
Yilun Du, Shuang Li, Antonio Torralba, Joshua B Tenenbaum, and Igor Mordatch. 2023 · 2023
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New and improved embedding model
Ryan Greene, Ted Sanders, Lilian Weng, and Arvind Neelakantan. 2022 · 2023
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Encouraging divergent thinking in large language models through multi-agent debate
Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Zhaopeng Tu, and Shuming Shi. 2023 · 2023
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Dr.icl: Demonstration-retrieved in-context learning
Man Luo, Xin Xu, Zhuyun Dai, Panupong Pasupat, Mehran Kazemi, Chitta Baral, Vaiva Imbrasaite, and Vincent Y Zhao. 2023 · 2023
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Fact focus: Fake image of pentagon explosion briefly sends jitters through stock market
Philip Marcelo. 2023 · 2023
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Automatic prompt optimization with" gradient descent" and beam search
Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, and Michael Zeng. 2023 · 2023
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Interpretable stereotype identification through reasoning
Jacob-Junqi Tian, Omkar Dige, David Emerson, and Faiza Khan Khattak. 2023 · 2023
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It’s all in the embedding! fake news detection using document embeddings
Ciprian-Octavian Truică and Elena-Simona Apostol. 2023 · 2023
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Open, closed, or small language models for text classification?
Hao Yu, Zachary Yang, Kellin Pelrine, Jean Francois Godbout, and Reihaneh Rabbany. 2023 · 2023
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