---
title: "Who cites Stance and Sentiment in Tweets — 103 citing papers"
description: "103 papers of the Elamur Research library cite «Stance and Sentiment in Tweets», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/mohammad-2016-stance-sentiment-tweets/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/mohammad-2016-stance-sentiment-tweets/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Stance and Sentiment in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2016-stance-sentiment-tweets/) / cited by

# Who cites «Stance and Sentiment in Tweets»

103 papers of our library cite it (of the 149,439 whose bibliographies we read) · 43 with a page here, the most cited first · [← back to «Stance and Sentiment in Tweets»](https://md.research.elamur.ai/free/en/papers/mohammad-2016-stance-sentiment-tweets/)

1. **[SemEval-2016 Task 6: Detecting Stance in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2016-semeval-2016-task-6-detecting/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, et al.*2016 · 1,200 citations*
2. **[SemEval-2018 Task 1: Affect in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2018-semeval-2018-task-1-affect/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.*2018 · 1,094 citations*
3. **[WASSA-2017 Shared Task on Emotion Intensity](https://md.research.elamur.ai/free/en/papers/mohammad-2017-wassa-2017-shared-task-emotion/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Saif Mohammad, Felipe Bravo-Marquez*2017 · 369 citations*
4. **[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/) [Information Processing & Management](https://md.research.elamur.ai/free/en/venues/information-processing-management/)**Abeer AlDayel, Walid Magdy*2020 · 355 citations*
5. **[Emotion Intensities in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2017-emotion-intensities-tweets/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Saif Mohammad, Felipe Bravo-Marquez*2017 · 290 citations*
6. **[Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations](https://md.research.elamur.ai/free/en/papers/allaway-2020-zero-shot-stance-detection-dataset/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emily Allaway, Kathleen McKeown*2020 · 269 citations*
7. **[A Dataset for Multi-Target Stance Detection](https://md.research.elamur.ai/free/en/papers/sobhani-2017-dataset-multi-target-stance-detection/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu*2017 · 190 citations*
8. **[Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling](https://md.research.elamur.ai/free/en/papers/kiritchenko-2016-capturing-reliable-fine-grained-sentiment/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Svetlana Kiritchenko, Saif M. Mohammad*2016 · 181 citations*
9. **[Stance Detection in COVID-19 Tweets](https://md.research.elamur.ai/free/en/papers/glandt-2021-stance-detection-covid-19-tweets/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kyle Glandt, Sarthak Khanal, Yingjie Li, et al.*2021 · 173 citations*
10. **[Cross-Target Stance Classification with Self-Attention Networks](https://md.research.elamur.ai/free/en/papers/xu-2018-cross-target-stance-classification-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chang Xu, Cecile Paris, Surya Nepal, et al.*2018 · 166 citations*
11. **[SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases](https://md.research.elamur.ai/free/en/papers/kiritchenko-2016-semeval-2016-task-7-determining/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Svetlana Kiritchenko, Saif Mohammad, Mohammad Salameh*2016 · 135 citations*
12. **[Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph](https://md.research.elamur.ai/free/en/papers/liu-2021-enhancing-zero-shot-few-shot/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rui Liu, Zheng Lin, Yutong Tan, et al.*2021 · 134 citations*
13. **[Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus](https://md.research.elamur.ai/free/en/papers/schuff-2017-annotation-modelling-analysis-fine-grained/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Hendrik Schuff, Jeremy Barnes, Julian Mohme, et al.*2017 · 129 citations*
14. [**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/)
15. **[Word Affect Intensities](https://md.research.elamur.ai/free/en/papers/mohammad-2018-word-affect-intensities/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Saif Mohammad*2018 · 114 citations*
16. **[Multi-Task Stance Detection with Sentiment and Stance Lexicons](https://md.research.elamur.ai/free/en/papers/li-2019-multi-task-stance-detection-sentiment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yingjie Li, Cornelia Caragea*2019 · 113 citations*
17. **[Can we trust the evaluation on ChatGPT?](https://md.research.elamur.ai/free/en/papers/aiyappa-2023-can-we-trust-evaluation-chatgpt/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Rachith Aiyappa, Jisun An, Haewoon Kwak, et al.*2023 · 103 citations*
18. **[Cross-Domain Label-Adaptive Stance Detection](https://md.research.elamur.ai/free/en/papers/hardalov-2021-cross-domain-label-adaptive-stance/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Momchil Hardalov, Arnav Arora, Preslav Nakov, et al.*2021 · 96 citations*
19. **[Overview of the EVALITA 2018 Task on Irony Detection in Italian Tweets (IronITA)](https://md.research.elamur.ai/free/en/papers/cignarella-2018-overview-evalita-2018-task-irony/) [Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop](https://md.research.elamur.ai/free/en/venues/evalita/)**Alessandra Teresa Cignarella, Simona Frenda, Valerio Basile, et al.*2018 · 95 citations*
20. **[Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection](https://md.research.elamur.ai/free/en/papers/grimminger-2021-hate-political-opponent-twitter-corpus/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Lara Grimminger, Roman Klinger*2021 · 73 citations*
21. **[Infusing Knowledge from Wikipedia to Enhance Stance Detection](https://md.research.elamur.ai/free/en/papers/he-2022-infusing-knowledge-wikipedia-enhance-stance/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Zihao He, Negar Mokhberian, Kristina Lerman*2022 · 72 citations*
22. **[POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection](https://md.research.elamur.ai/free/en/papers/liu-2022-politics-pretraining-same-story-article/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yujian Liu, Xinliang Frederick Zhang, David Wegsman, et al.*2022 · 70 citations*
23. **[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*
24. **[Multilingual Stance Detection in Tweets: The Catalonia Independence Corpus](https://md.research.elamur.ai/free/en/papers/zotova-2020-multilingual-stance-detection-tweets-catalonia/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Elena Zotova, Rodrigo Agerri, Manuel Nuñez, et al.*2020 · 46 citations*
25. **[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*
26. **[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*
27. [**We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter**Cynthia Van Hee, Els Lefever, Véronique Hoste*2018 · 39 citations*](https://md.research.elamur.ai/free/en/papers/hee-2018-we-usually-don-t-like/)
28. **[Exploiting Sentiment and Common Sense for Zero-shot Stance Detection](https://md.research.elamur.ai/free/en/papers/luo-2022-exploiting-sentiment-common-sense-zero/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yun Luo, Zihan Liu, Yuefeng Shi, et al.*2022 · 30 citations*
29. **[Human Rationales as Attribution Priors for Explainable Stance Detection](https://md.research.elamur.ai/free/en/papers/jayaram-2021-human-rationales-as-attribution-priors/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sahil Jayaram, Emily Allaway*2021 · 30 citations*
30. **[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*
31. **[Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection](https://md.research.elamur.ai/free/en/papers/arakelyan-2023-topic-guided-sampling-data-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Erik Arakelyan, Arnav Arora, Isabelle Augenstein*2023 · 19 citations*
32. [**ExaASC: A General Target-Based Stance Detection Corpus in Arabic Language arXiv:2204.13979 · 2021 11th International Conference on Computer Engineering and Knowledge (ICCKE)**Mohammad Mehdi Jaziriyan, Ahmad Akbari, Hamed Karbasi*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/jaziriyan-2022-exaasc-general-target-based-stance/)
33. **[Transformers to Fight the COVID-19 Infodemic](https://md.research.elamur.ai/free/en/papers/uyangodage-2021-transformers-fight-covid-19-infodemic/) [Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda](https://md.research.elamur.ai/free/en/venues/nlp4if/)**Lasitha Uyangodage, Tharindu Ranasinghe, Hansi Hettiarachchi*2021 · 16 citations*
34. **[Integrating Transformers and Knowledge Graphs for Twitter Stance Detection](https://md.research.elamur.ai/free/en/papers/clark-2021-integrating-transformers-knowledge-graphs-twitter/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Thomas Clark, Costanza Conforti, Fangyu Liu, et al.*2021 · 14 citations*
35. **[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*
36. **[A Challenge Dataset and Effective Models for Conversational Stance Detection](https://md.research.elamur.ai/free/en/papers/niu-2024-challenge-dataset-effective-models-conversational/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Fuqiang Niu, Min Yang, Ang Li, et al.*2024 · 12 citations*
37. **[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*
38. **[Annotated Corpus of Tweets in English from Various Domains for Emotion Detection](https://md.research.elamur.ai/free/en/papers/ghosh-2020-annotated-corpus-tweets-english-various/) [International Conference on Natural Language Processing (ICON)](https://md.research.elamur.ai/free/en/venues/icon/)**Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya, et al.*2020 · 4 citations*
39. **[ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets](https://md.research.elamur.ai/free/en/papers/nagoudi-2018-arb-sen-semeval-2018-task1/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**El Moatez Billah Nagoudi*2018 · 3 citations*
40. **[CYUT at SemEval-2026 Task 3: Multi-Task Dimensional Aspect Sentiment Regression with Polar Multi-Zone Labeling in VA Space](https://md.research.elamur.ai/free/en/papers/wu-2026-cyut-semeval-2026-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Shih-Hung Wu, Xian-Yan Chen, Yi-Min Jian*2026 · 1 citation*
41. **[DataBees at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization](https://md.research.elamur.ai/free/en/papers/sriram-2026-databees-semeval-2026-task-9/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Tanisha Sriram, Sathvika Shankar, Sowmya Anand, et al.*2026 · 1 citation*
42. **[Social Story Frames: Contextual Reasoning about Narrative Intent and Reception](https://md.research.elamur.ai/free/en/papers/mire-2026-social-story-frames-contextual-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joel Mire, Maria Antoniak, Steven R Wilson, et al.*2026 · 1 citation*
43. **[PartisanLens: A Multilingual Dataset of Hyperpartisan and Conspiratorial Immigration Narratives in European Media](https://md.research.elamur.ai/free/en/papers/maggini-2026-partisanlens-multilingual-dataset-hyperpartisan-conspiratorial/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Michele Joshua Maggini, Paloma Piot, Anxo Pérez, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/mohammad-2016-stance-sentiment-tweets/) — Stance and Sentiment in Tweets