🔗 Who cites «COVIDLies: Detecting COVID-19 Misinformation on Social Media»

62 papers of our library cite it (of the 141,840 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «COVIDLies: Detecting COVID-19 Misinformation on Social Media»

1. A Survey on Automated Fact-CheckingZhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 646 citations
2. A Survey on Stance Detection for Mis- and Disinformation IdentificationMomchil Hardalov, Arnav Arora, Preslav Nakov, et al.2022 · 187 citations
3. Stance Detection in COVID-19 TweetsKyle Glandt, Sarthak Khanal, Yingjie Li, et al.2021 · 173 citations
4. COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 PandemicArkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan2021 · 168 citations
5. Cross-Domain Label-Adaptive Stance DetectionMomchil Hardalov, Arnav Arora, Preslav Nakov, et al.2021 · 96 citations
6. StanceEval 2024: The First Arabic Stance Detection Shared TaskNora Alturayeif, Hamzah Luqman, Zaid Alyafeai, et al.2024 · 21 citations
7. Is Stance Detection Topic-Independent and Cross-topic Generalizable? - A Reproduction StudyMyrthe Reuver, Suzan Verberne, Roser Morante, et al.2021 · 21 citations
8. Topic-Guided Sampling For Data-Efficient Multi-Domain Stance DetectionErik Arakelyan, Arnav Arora, Isabelle Augenstein2023 · 19 citations
9. AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection DatasetMohamed Seghir Hadj Ameur, Hassina Aliane2021 · 16 citations
10. ArCovidVac: Analyzing Arabic Tweets About COVID-19 VaccinationHamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury, et al.2022 · 13 citations
11. Stanceosaurus: Classifying Stance Towards Multilingual MisinformationJonathan Zheng; Ashutosh Baheti; Tarek Naous; Wei Xu;, Alan Ritter2022 · 5 citations
12. Towards Expectation Detection in Language: A Case Study on Treatment Expectations in RedditAswathy Velutharambath, Amelie Wührl2026

50 more papers of our library cite it; they have no page here yet.

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