MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation
Social Network DatasetAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 |
CsFEVER and CTKFacts: Acquiring Czech data for fact verificationLanguage Resources and Evaluation (LRE), 2022 |
Automated Fact-Checking: A SurveyLanguage and Linguistics Compass (LLC), 2021 |
Integrating Pattern- and Fact-based Fake News Detection via Model
Preference LearningInternational Conference on Information and Knowledge Management (CIKM), 2021 |
A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in
QatarRecent Advances in Natural Language Processing (RANLP), 2021 |
Semi-Supervised Exaggeration Detection of Health Science Press ReleasesConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
A Survey on Automated Fact-CheckingTransactions of the Association for Computational Linguistics (TACL), 2021 |
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering
and Reading ComprehensionACM Computing Surveys (CSUR), 2021 |
COVID-Fact: Fact Extraction and Verification of Real-World Claims on
COVID-19 PandemicAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
Automatic Fake News Detection: Are Models Learning to Reason?Annual Meeting of the Association for Computational Linguistics (ACL), 2021 |
Cross-Domain Label-Adaptive Stance DetectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
AmbiFC: Fact-Checking Ambiguous Claims with EvidenceTransactions of the Association for Computational Linguistics (TACL), 2021 |
Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 |
Automated Fact-Checking for Assisting Human Fact-CheckersInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 |
How does Truth Evolve into Fake News? An Empirical Study of Fake News
EvolutionThe Web Conference (WWW), 2021 |
Mind the Gap: Assessing Temporal Generalization in Neural Language
ModelsNeural Information Processing Systems (NeurIPS), 2021 |
Evidence-based Factual Error CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
Explainable Automated Fact-Checking for Public Health ClaimsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
Generating Label Cohesive and Well-Formed Adversarial ClaimsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
Multi-Hop Fact Checking of Political ClaimsInternational Joint Conference on Artificial Intelligence (IJCAI), 2020 |
Time-Aware Evidence Ranking for Fact-CheckingJournal of Web Semantics (JWS), 2020 |
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective
and a Call to ArmsInternational Conference on Web and Social Media (ICWSM), 2020 |
Fighting the COVID-19 Infodemic: Modeling the Perspective of
Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the
SocietyConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
SubjQA: A Dataset for Subjectivity and Review ComprehensionConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
Generating Fact Checking ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |