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We present a new fact-checking benchmark, Check-COVID, that requires systems to verify claims about COVID-19 from news using evidence from scientific articles.
Language models are few-shot learners
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Coaid: Covid-19 healthcare misinformation dataset
Limeng Cui and Dongwon Lee. 2020 · 2006
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Misinformation has high perplexity
Nayeon Lee, Yejin Bang, Andrea Madotto, and Pascale Fung. 2020 · 2006
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Fakecovid–a multilingual cross-domain fact check news dataset for covid-19
Gautam Kishore Shahi and Durgesh Nandini. 2020 · 2006
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Two stage transformer model for covid-19 fake news detection and fact checking
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James Pustejovsky and Amber Stubbs. 2012 · 2012
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Automatic detection of fake news
Verónica Pérez-Rosas, Bennett Kleinberg, Alexandra Lefevre, and Rada Mihalcea. 2017 · 2017
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Truth of varying shades: Analyzing language in fake news and political fact-checking
Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, and Yejin Choi. 2017 · 2017
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Fever: a large-scale dataset for fact extraction and verification
CORD-19: The COVID-19 open research dataset
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Doug Burdick, Darrin Eide, Kathryn Funk, Yannis Katsis, Rodney Michael Kinney, Yunyao Li, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Nancy Xin Ru Wang, Christopher Wilhelm, Boya Xie, Douglas M. Raymond, Daniel S. Weld, Oren Etzioni, and Sebastian Kohlmeier. 2020 · 2020
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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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Towards few-shot fact-checking via perplexity
Nayeon Lee, Yejin Bang, Andrea Madotto, Madian Khabsa, and Pascale Fung. 2021 · 2021
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Covid-fact: Fact extraction and verification of real-world claims on covid-19 pandemic
Arkadiy Saakyan, Tuhin Chakrabarty, and Smaranda Muresan. 2021 · 2021
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James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
Cited alongside, same era.
Proppy: A system to unmask propaganda in online news
Alberto Barrón-Cedeno, Giovanni Da San Martino, Israa Jaradat, and Preslav Nakov. 2019 · 2019
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A benchmark dataset of check-worthy factual claims
Fatma Arslan, Naeemul Hassan, Chengkai Li, and Mark Tremayne. 2020 · 2020
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Covid-19-fakes: a twitter (arabic/english) dataset for detecting misleading information on covid-19
Mohamed K Elhadad, Kin Fun Li, and Fayez Gebali. 2020 · 2020
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Leveraging media and health communication strategies to overcome the covid-19 infodemic
Nour Mheidly and Jawad Fares. 2020 · 2020
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Fact or fiction: Verifying scientific claims
David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi. 2020 · 2020
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Evidence-based fact-checking of health-related claims
Mourad Sarrouti, Asma Ben Abacha, Yassine M’rabet, and Dina Demner-Fushman. 2021 · 2021
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Evidence based automatic fact-checking for climate change misinformation
Gengyu Wang, Lawrence Chillrud, and Kathleen McKeown. 2021 · 2021
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Covid-19 claim radar: A structured claim extraction and tracking system
Manling Li, Revanth Gangi Reddy, Ziqi Wang, Yi-Shyuan Chiang, Tuan Lai, Pengfei Yu, Zixuan Zhang, and Heng Ji. 2022 · 2022
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Covert: A corpus of fact-checked biomedical covid-19 tweets
Isabelle Mohr, Amelie Wührl, and Roman Klinger. 2022 · 2022
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Concord: Covid-19 numerical claims open research dataset
Dhwanil Shah, Krish Shah, Manan Jagani, Agam Shah, and Bhaskar Chaudhury. 2022 · 2022
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Document retrieval and claim verification to mitigate covid-19 misinformation
Megha Sundriyal, Ganeshan Malhotra, Md Shad Akhtar, Shubhashis Sengupta, Andrew Fano, and Tanmoy Chakraborty. 2022 · 2022
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