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# Who cites «Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog»

15 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/oraby-2017-are-you-serious-rhetorical-questions/)

1. [Rhetorical Questions in LLM Representations: A Linear Probing Study](https://aclanthology.org/2026.acl-long.5/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance](https://aclanthology.org/2026.findings-eacl.251/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
3. [How did we get here? Summarizing conversation dynamics](https://aclanthology.org/2024.naacl-long.414/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
4. [What is the Real Intention behind this Question? Dataset Collection and Intention Classification](https://aclanthology.org/2023.acl-long.761/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [``When Words Fail, Emojis Prevail'''': A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic Incongruity](https://aclanthology.org/2023.acl-srw.47/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
6. [Computational Sarcasm Analysis on Social Media: A Systematic Review](https://arxiv.org/abs/2209.06170) *— 2022 · arXiv:2209.06170*
7. [When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues](https://aclanthology.org/2022.acl-long.411/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [Implicitly Abusive Language – What does it actually look like and why are we not getting there?](https://aclanthology.org/2021.naacl-main.48/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
9. [``Are you kidding me?'''': Detecting Unpalatable Questions on Reddit](https://aclanthology.org/2021.eacl-main.179/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
10. [融合情感分析的隐式反问句识别模型(Implicit Rhetorical Questions Recognition Model Combined with Sentiment Analysis)](https://aclanthology.org/2021.ccl-1.63/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
11. [Exploring the Role of Context to Distinguish Rhetorical and Information-Seeking Questions](https://aclanthology.org/2020.acl-srw.41/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
12. [Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media](https://aclanthology.org/2020.figlang-1.38/) *— 2020 · Proceedings of the Second Workshop on Figurative Language Processing*
13. [Sarcasm Analysis Using Conversation Context](https://aclanthology.org/J18-4009/) *— 2018*
14. ikumariegbe-2025-studying-rhetorically-ambiguous-questions
15. jung-2025-similarity-measure-comparing-conversational-dynamics
- [← previous Who cites «Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/oraby-2016-creating-characterizing-diverse-corpus-sarcasm/)
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