---
title: "Who cites Stance Detection on Social — 81 citing papers"
description: "81 papers of the Elamur Research library cite «Stance Detection on Social Media: State of the Art and Trends», found in their bibliographies…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Stance Detection on Social Media: State of the…](https://md.research.elamur.ai/free/en/papers/aldayel-2020-stance-detection-social-media-state/) / cited by

# Who cites «Stance Detection on Social Media: State of the Art and Trends»

81 papers of our library cite it (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · [← back to «Stance Detection on Social Media: State of the Art and Trends»](https://md.research.elamur.ai/free/en/papers/aldayel-2020-stance-detection-social-media-state/)

1. **[Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks](https://md.research.elamur.ai/free/en/papers/rottger-2022-two-contrasting-data-annotation-paradigms/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Paul Röttger, Bertie Vidgen, Dirk Hovy, et al.*2022 · 220 citations*
2. **[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*
3. **[P-Stance: A Large Dataset for Stance Detection in Political Domain](https://md.research.elamur.ai/free/en/papers/li-2021-p-stance-large-dataset-stance/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingjie Li, Tiberiu Sosea, Aditya Sawant, et al.*2021 · 169 citations*
4. [**How would Stance Detection Techniques Evolve after the Launch of ChatGPT? arXiv:2212.14548**Bowen Zhang, Daijun Ding, Liwen Jing, et al.*2022 · 116 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2022-would-stance-detection-techniques-evolve/)
5. **[Target-Aware Data Augmentation for Stance Detection](https://md.research.elamur.ai/free/en/papers/li-2021-target-aware-data-augmentation-stance/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yingjie Li, Cornelia Caragea*2021 · 56 citations*
6. **[Mawqif: A Multi-label Arabic Dataset for Target-specific Stance Detection](https://md.research.elamur.ai/free/en/papers/alturayeif-2022-mawqif-multi-label-arabic-dataset/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Nora Saleh Alturayeif, Hamzah Abdullah Luqman, Moataz Aly Kamaleldin Ahmed*2022 · 48 citations*
7. **[Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news media](https://md.research.elamur.ai/free/en/papers/mets-2023-automated-stance-detection-complex-topics/) [PLoS ONE](https://md.research.elamur.ai/free/en/venues/plos-one/)**Mark Mets, Andres Karjus, Indrek Ibrus, et al.*2023 · 43 citations*
8. **[Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/li-2021-improving-stance-detection-multi-dataset/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yingjie Li, Chenye Zhao, Cornelia Caragea*2021 · 39 citations*
9. **[A Multi-Task Learning Framework for Multi-Target Stance Detection](https://md.research.elamur.ai/free/en/papers/li-2021-multi-task-learning-framework-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingjie Li, Cornelia Caragea*2021 · 31 citations*
10. **[C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection](https://md.research.elamur.ai/free/en/papers/zhao-2023-c-stance-large-dataset-chinese/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenye Zhao, Yingjie Li, Cornelia Caragea*2023 · 30 citations*
11. **[Generative Data Augmentation with Contrastive Learning for Zero-Shot Stance Detection](https://md.research.elamur.ai/free/en/papers/li-2022-generative-data-augmentation-contrastive-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yang Li, Jiawei Yuan*2022 · 26 citations*
12. **[A New Direction in Stance Detection: Target-Stance Extraction in the Wild](https://md.research.elamur.ai/free/en/papers/li-2023-new-direction-stance-detection-target/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yingjie Li, Krishna Garg, Cornelia Caragea*2023 · 25 citations*
13. **[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*
14. [**Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification arXiv:2309.13734**Iain J. Cruickshank, Lynnette Hui Xian Ng*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/cruickshank-2023-prompting-fine-tuning-open-sourced/)
15. **[MARASTA: A Multi-dialectal Arabic Cross-domain Stance Corpus](https://md.research.elamur.ai/free/en/papers/charfi-2024-marasta-multi-dialectal-arabic-cross/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Anis Charfi, Mabrouka Bessghaier, Andria Atalla, et al.*2024 · 13 citations*
16. **[Distilling Calibrated Knowledge for Stance Detection](https://md.research.elamur.ai/free/en/papers/li-2023-distilling-calibrated-knowledge-stance-detection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingjie Li, Cornelia Caragea*2023 · 13 citations*
17. **[AlexUNLP-BH at StanceEval2024: Multiple Contrastive Losses Ensemble Strategy with Multi-Task Learning For Stance Detection in Arabic](https://md.research.elamur.ai/free/en/papers/badran-2024-alexunlp-bh-stanceeval2024-multiple-contrastive/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamed Badran, Mo'men Hamdy, Marwan Torki, et al.*2024 · 8 citations*
18. **[StanceCrafters at StanceEval2024: Multi-task Stance Detection using BERT Ensemble with Attention Based Aggregation](https://md.research.elamur.ai/free/en/papers/hasanaath-2024-stancecrafters-stanceeval2024-multi-task-stance/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ahmed Hasanaath, Aisha Alansari*2024 · 5 citations*
19. **[HAMiSoN-Generative at ClimateActivism 2024: Stance Detection using generative large language models](https://md.research.elamur.ai/free/en/papers/hernandez-2024-hamison-generative-climateactivism-2024-stance/) [Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text](https://md.research.elamur.ai/free/en/venues/case/)**Jesus M. Fraile-Hernandez, Anselmo Peñas*2024 · 4 citations*
20. **[dzStance at StanceEval2024: Arabic Stance Detection based on Sentence Transformers](https://md.research.elamur.ai/free/en/papers/lichouri-2024-dzstance-stanceeval2024-arabic-stance-detection/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamed Lichouri, Khaled Lounnas, Ouaras Rafik, et al.*2024 · 2 citations*

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

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