--- title: "Who cites A simple but tough-to-beat — 46 citing papers" description: "46 papers of the Elamur Research library cite «A simple but tough-to-beat baseline for the Fake News Challenge stance detection task»…" canonical: "https://research.elamur.ai/free/en/papers/riedel-2017-simple-but-tough-beat-baseline/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/riedel-2017-simple-but-tough-beat-baseline/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A simple but tough-to-beat baseline for the Fake…](https://md.research.elamur.ai/free/en/papers/riedel-2017-simple-but-tough-beat-baseline/) / cited by # Who cites «A simple but tough-to-beat baseline for the Fake News Challenge stance detection task» 46 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← back to «A simple but tough-to-beat baseline for the Fake News Challenge stance detection task»](https://md.research.elamur.ai/free/en/papers/riedel-2017-simple-but-tough-beat-baseline/) 1. **[FEVER: a Large-scale Dataset for Fact Extraction and VERification](https://md.research.elamur.ai/free/en/papers/thorne-2018-fever-large-scale-dataset-fact/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**James Thorne, Andreas Vlachos, Christos Christodoulopoulos, et al.*2018 · 2,221 citations* 2. **[Predicting Factuality of Reporting and Bias of News Media Sources](https://md.research.elamur.ai/free/en/papers/baly-2018-predicting-factuality-reporting-bias-news/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, et al.*2018 · 335 citations* 3. **[MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims](https://md.research.elamur.ai/free/en/papers/augenstein-2019-multifc-real-world-multi-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Isabelle Augenstein, Christina Lioma, Dongsheng Wang, et al.*2019 · 319 citations* 4. **[Automated Fact Checking: Task Formulations, Methods and Future Directions](https://md.research.elamur.ai/free/en/papers/thorne-2018-automated-fact-checking-task-formulations/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**James Thorne, Andreas Vlachos*2018 · 304 citations* 5. **[A Survey on Stance Detection for Mis- and Disinformation Identification](https://md.research.elamur.ai/free/en/papers/hardalov-2022-survey-stance-detection-mis-disinformation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Momchil Hardalov, Arnav Arora, Preslav Nakov, et al.*2022 · 188 citations* 6. **[Integrating Stance Detection and Fact Checking in a Unified Corpus](https://md.research.elamur.ai/free/en/papers/baly-2018-integrating-stance-detection-fact-checking/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ramy Baly, Mitra Mohtarami, James Glass, et al.*2018 · 186 citations* 7. **[A Retrospective Analysis of the Fake News Challenge Stance-Detection Task](https://md.research.elamur.ai/free/en/papers/hanselowski-2018-retrospective-analysis-fake-news-challenge/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Andreas Hanselowski, Avinesh PVS, Benjamin Schiller, et al.*2018 · 134 citations* 8. **[Logical Fallacy Detection](https://md.research.elamur.ai/free/en/papers/jin-2022-logical-fallacy-detection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, et al.*2022 · 119 citations* 9. **[TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification](https://md.research.elamur.ai/free/en/papers/yin-2018-twowingos-two-wing-optimization-strategy/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenpeng Yin, Dan Roth*2018 · 114 citations* 10. **[STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval](https://md.research.elamur.ai/free/en/papers/conforti-2020-stander-expert-annotated-dataset-news/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2020 · 22 citations* 11. **[Is Stance Detection Topic-Independent and Cross-topic Generalizable? - A Reproduction Study](https://md.research.elamur.ai/free/en/papers/reuver-2021-is-stance-detection-topic-independent/) [Workshop on Argument Mining](https://md.research.elamur.ai/free/en/venues/argmining/)**Myrthe Reuver, Suzan Verberne, Roser Morante, et al.*2021 · 21 citations* 12. **[Stanceosaurus: Classifying Stance Towards Multicultural Misinformation](https://md.research.elamur.ai/free/en/papers/zheng-2022-stanceosaurus-classifying-stance-multicultural-misinformation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jonathan Zheng, Ashutosh Baheti, Tarek Naous, et al.*2022 · 16 citations* 13. **[Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus.](https://md.research.elamur.ai/free/en/papers/conforti-2021-synthetic-examples-improve-cross-target/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2021 · 12 citations* 14. [**Stanceosaurus: Classifying Stance Towards Multilingual Misinformation arXiv:2210.15954**Jonathan Zheng; Ashutosh Baheti; Tarek Naous; Wei Xu;, Alan Ritter*2022 · 5 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2022-stanceosaurus-classifying-stance-towards-multilingual/) 32 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/riedel-2017-simple-but-tough-beat-baseline/) — A simple but tough-to-beat baseline for the Fake News Challenge stance detection task