Storytelling in Argumentative Discussions: Exploring the Use of Narratives in ChangeMyView

Sara Nabhani, Khalid Al Khatib, Federico Pianzola, Malvina Nissim


Abstract
Psychological research has long suggested that storytelling can shape beliefs and behaviors by fostering emotional engagement and narrative transportation. However, it remains unclear whether these effects extend to online argumentative discourse. In this paper, we examine the role of narrative in real-world argumentation using discussions from the ChangeMyView subreddit. Leveraging an automatic story detection model, we analyze how narrative use varies across persuasive comments, user types, discussion outcomes, and the kinds of change being sought. While narrative appears more frequently in some contexts, it is not consistently linked to successful persuasion. Notably, highly persuasive users tend to use narrative less, and storytelling does not demonstrate increased effectiveness for any specific type of persuasive goals. These findings suggest that narrative may play a limited and context-dependent role in online discussions, highlighting the need for computational models of argumentation to account for rhetorical diversity.
Anthology ID:
2025.argmining-1.21
Volume:
Proceedings of the 12th Argument mining Workshop
Month:
July
Year:
2025
Address:
Vienna, Austria
Editors:
Elena Chistova, Philipp Cimiano, Shohreh Haddadan, Gabriella Lapesa, Ramon Ruiz-Dolz
Venues:
ArgMining | WS
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Publisher:
Association for Computational Linguistics
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Pages:
217–227
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URL:
https://preview.aclanthology.org/landing_page/2025.argmining-1.21/
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Cite (ACL):
Sara Nabhani, Khalid Al Khatib, Federico Pianzola, and Malvina Nissim. 2025. Storytelling in Argumentative Discussions: Exploring the Use of Narratives in ChangeMyView. In Proceedings of the 12th Argument mining Workshop, pages 217–227, Vienna, Austria. Association for Computational Linguistics.
Cite (Informal):
Storytelling in Argumentative Discussions: Exploring the Use of Narratives in ChangeMyView (Nabhani et al., ArgMining 2025)
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PDF:
https://preview.aclanthology.org/landing_page/2025.argmining-1.21.pdf