Scare Quotes as Markers of “Questionable” Word Usages and Misalignment in Conversation: An Annotation Study
Summary
Scare quotes signal that a word should not be read literally. A writer may use them to show irony, skepticism, distance, or doubt about a lexical choice. Earlier empirical studies were small, unpublished, and ignored how scare quotes work in dialogue. This paper treats them as explicit signals of potentially problematic word usages that could cause semantic misunderstanding or disagreement between interlocutors.
The authors built SQuiC (Scare Quotes in Conversation), the first large, publicly released annotation of quotation functions. Its source is the Winning Arguments corpus of r/ChangeMyView debates, which already carries Word Meaning Negotiation (WMN) labels from NeWMe. The quoted spans are short, up to three words. They are classified as scare (S), non-scare (N), or both (B) using a schema based on prior literature and real data.
The analysis shows that scare quotes often mark contested usages and are frequently used to challenge or criticize other speakers' wording. Non-scare, meta-linguistic quotes, in contrast, often appear in explicit attempts to reach lexico-semantic alignment. The authors also test LLMs as annotators. The resource supports research on conversational alignment and on detecting problematic word usages.
Key points
- Source data: Winning Arguments (Tan et al., 2016), drawn from r/ChangeMyView between 2013 and 2015. The authors kept 586 complete conversations, about 3M words and 27k posts.
- Regex extraction of single and double quotation marks around spans of up to three words, excluding cited Reddit material, produced 9,233 matches from 5,200 posts, about 19% of all posts.
- The annotation schema has three classes: S (scare), N (non-scare: meta-linguistic use, citation, terminology, titles, emphasis) and B (both).
- The annotations are linked to NeWMe WMN annotations, so quote functions can be studied alongside word meaning negotiation.
- LLMs were evaluated in 2-class and 3-class settings with class definitions at three verbosity levels and few-shot example sets.
- Annotations, guidelines and code are available at github.com/ainagari/scare-quotes.
Cite
@inproceedings{soler2026scare,
title = {{Scare Quotes as Markers of “Questionable” Word Usages and Misalignment in Conversation: An Annotation Study}},
author = {Soler, Aina Garí and Huaco, Juan Carlos Zevallos and Labeau, Matthieu and Clavel, Chloé},
booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference},
year = {2026},
doi = {10.63317/4g6qf5k2z4pw},
url = {https://doi.org/10.63317/4g6qf5k2z4pw}
}References
- Mary Catherine Beach, Somnath Saha, Jenny Park, Janiece Taylor, Paul Drew, Eve Plank, Lisa A Cooper, and Brant Chee. 2021. Testimonial injustice: linguistic bias in the medical records of black patients and women. Journal of general internal medicine, 36(6):1708–1714. find
- Herman Cappelen and Ernie Lepore. 1997. Varieties of quotation. Mind, 106(423):429–450. find
- Herman Cappelen and Ernie Lepore. 2003. Varieties of quotation revisited. Belgian Journal of Linguistics, 17(1):51–75. find
- Letizia Cirillo. 2019. The pragmatics of air quotes in english academic presentations. Journal of Pragmatics, 142:1–15. find
- Philippe De Brabanter. 2010. The semantics and pragmatics of hybrid quotations. Language and Linguistics Compass, 4(2):107–120. find
- Philippe De Brabanter. 2017. Why quotation is not a semantic phenomenon, and why it calls for a pragmatic theory. In Semantics and pragmatics: Drawing a line, pages 227–254. Springer. find
- Philippe De Brabanter. 2023. Quotation does not need marks of quotation. Linguistics, 61(2):285– 316. find
- George Dillon. 1988. My words of an other. College English, 50(1):63–73. find
- Johannes Dölling and Tatjana Heyde-Zybatow. 2007. Verb meaning: How much semantics is in the lexicon. Interface and interface Conditions, pages 33–76. find
- Anita Fetzer and Daniel Weiss. 2020. Doing things with quotes: Introduction. Journal of Pragmatics, 157:84–88. find
- Aina Garí Soler, Matthieu Labeau, and Chloé Clavel. 2023. Measuring Lexico-Semantic Alignment in Debates with Contextualized Word Representations. In Proceedings of the First Workshop on Social Influence in Conversations (SICon 2023), pages 50–63, Toronto, Canada. Association for Computational Lingu… find
- Aina Garí Soler, Matthieu Labeau, and Chloé Clavel. 2025a. Potentially Problematic Word Usages and How to Detect Them: A Survey. Accepted at the 14th Joint Conference on Lexical and Computational Semantics (*SEM 2025). find
- Dirk Groeneveld, Iz Beltagy, Evan Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill… find
- OLMo: Accelerating the Science of Language Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15789– 15809, Bangkok, Thailand. Association for Computational Linguistics. find
- Daniel Gutzmann and Erik Stei. 2011. How quotation marks what people do with words. Journal of Pragmatics, 43(10):2650–2663. find
- Lauri Haapanen and Daniel Perrin. 2017. Media and quoting: Understanding the purposes, roles, and processes of quoting in mass and social media. In The Routledge handbook of language and media, pages 424–441. Routledge. find
- Matthew Honnibal, Ines Montani, Sofie Van Lan-deghem, and Adriane Boyd. 2020. spaCy: Industrial-strength Natural Language Processing in Python. find
- Ken Hyland. 2010. Metadiscourse: Mapping interactions in academic writing. Nordic Journal of English Studies, 9(S2):125–143. find
- K. Krippendorff. 2013. Content Analysis: An Introduction to Its Methodology. SAGE Publications. find
- Klaus Krippendorff. 2018. Content analysis: An introduction to its methodology. Sage publications. find
- Agnieszka M Kula and Monika Grzelka. 2022. Quotation in Social Media: How Sharing Other People’s Words Could Increase Misinformation. Studia Humanistyczne AGH, 21(2):81–98. find
- Tom McArthur, Jacqueline Lam-McArthur, and Lise Fontaine. 1992. The Oxford companion to the English language. Oxford: Oxford University Press. find
- Mark McCullagh. 2017. Scare-quoting and incorporation. In The semantics and pragmatics of quotation, pages 3–34. Springer. find
- Andreas Musolff. 2015. Quotation and online identity: The voice of tacitus in german newspapers and internet discussions. The Pragmatics of Quoting Now and Then, 89:125. find
- Susan Nacey. 2012. Scare quotes in Norwegian L2 English and British English. English Corpus Linguistics: Looking back, Moving forward, page 117. find
- Zuzana Nádraská. 2022. The function of scare quotes in hard news: metadiscoursal and generic perspectives. Discourse and Interaction, 15(2):101–127. find
- Anna P. Goddu, Katie J O’Conor, Sophie Lanzkron, Mustapha O Saheed, Somnath Saha, Monica E Peek, Carlton Haywood Jr, and Mary Catherine Beach. 2018. Do words matter? Stigmatizing language and the transmission of bias in the medical record. Journal of general internal medicine, 33(5):685–691. find
- Sean Papay and Sebastian Padó. 2019. Quotation detection and classification with a corpus-agnostic model. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 888–894, Varna, Bulgaria. INCOMA Ltd. find
- Gina M Piscitello, Ruthe Ali, Katrina Hauschildt, and Jane Schell. 2025. How Do Clinicians Use Quotations in Goals of Care Notes? Chest. find
- Stefano Predelli. 2003. Scare quotes and their relation to other semantic issues. Linguistics and philosophy, 26(1):1–28. find
- Qwen-Team. 2024. Qwen2.5: A party of foundation models. find
- François Recanati. 2001. Open quotation. Mind, 110(439):637–687. find
- Claudia Ricci and Corinne Rossari. 2018. Commitment phenomena through the study of evidential markers in romance languages. find
- Christian Scheible, Roman Klinger, and Sebastian Padó. 2016. Model architectures for quotation detection. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1736–1745, Berlin, Germany. Association for Computational Linguistics. find
- Marcel Schlechtweg and Holden Härtl. 2020. Do we pronounce quotation? an analysis of name-informing and non-name-informing contexts. Language and Speech, 63(4):769–798. find
- Marcel Schlechtweg and Holden Härtl. 2023. Quotation marks and the processing of irony in English: evidence from a reading time study. Linguistics, 61(2):355–390. find
- Barbara Schneider. 2002. Nonstandard quotes: Superimpositions and cultural maps. College Composition & Communication, 54(2):188–207. find
- Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, and Lillian Lee. 2016. Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions. In Proceedings of the 25th international conference on world wide web, pages 613–624. find
- University of Chicago Press. 2017. The chicago manual of style online. https://www.chicagomanualofstyle.org/. 17th edition. Accessed 2025-08-13. ↗
- Andrew Walker, Annie Thorne, Sudeshna Das, Jennifer Love, Hannah LF Cooper, Melvin Livingston, and Abeed Sarker. 2025. CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation. Journal of the Ameri… find
- Bingjuan Xiong and Jessica S Robles. 2023. Functions of quotation in online political comments. Discourse, Context & Media, 55:100717. 9. find
- Language Resource References Marc Brysbaert, Amy Beth Warriner, and Victor Kuperman. 2014. Concreteness ratings for 40 thousand generally known english word lemmas. Behavior research methods, 46(3):904–911. find
- Christiane Fellbaum. 1998. WordNet: An Electronic Lexical Database. Language, Speech, and Communication. MIT Press, Cambridge, MA. find
- Aina Garí Soler, Jenny Myrendal, Chloé Clavel, and Staffan Larsson. 2025. The NeWMe Corpus: A gold standard corpus for the study of Word Meaning Negotiation. In PREPRINT (Version 1) available at Research Square. To appear in Language Resources and Evaluation. find
- Saif M Mohammad and Peter D Turney. 2013. Crowdsourcing a word–emotion association lexicon. Computational intelligence, 29(3):436–465. find
- Robyn Speer. 2022. rspeer/wordfreq: v3.0. find
- Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, and Manfred Stede. 2011. Lexicon-Based Methods for Sentiment Analysis. Computational Linguistics, 37(2):267–307. find our card
- Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, and Lillian Lee. 2016. Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions. In Proceedings of the 25th international conference on world wide web, pages 613–624. find
- Theresa Wilson, Janyce Wiebe, and Paul Hoffmann. 2005. Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of human language technology conference and conference on empirical methods in natural language processing, pages 347–354. find our card
This page in Markdown → https://md.research.elamur.ai/free/en/papers/soler-2026-scare-quotes-as-markers-questionable/