@inproceedings{kutepova-khatib-2025-hybrid,
title = "Hybrid Intelligence for Logical Fallacy Detection",
author = "Kutepova, Mariia and
Khatib, Khalid Al",
editor = "Blodgett, Su Lin and
Curry, Amanda Cercas and
Dev, Sunipa and
Li, Siyan and
Madaio, Michael and
Wang, Jack and
Wu, Sherry Tongshuang and
Xiao, Ziang and
Yang, Diyi",
booktitle = "Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.hcinlp-1.16/",
doi = "10.18653/v1/2025.hcinlp-1.16",
pages = "197--208",
ISBN = "979-8-89176-353-1",
abstract = "This study investigates the impact of Hybrid Intelligence (HI) on improving the detection of logical fallacies, addressing the pressing challenge of misinformation prevalent across communication platforms. Employing a between-subjects experimental design, the research compares the performance of two groups: one relying exclusively on human judgment and another supported by an AI assistant. Participants evaluated a series of statements, with the AI-assisted group utilizing a custom ChatGPT-based chatbot that provided real-time hints and clarifications. The findings reveal a significant improvement in fallacy detection with AI support, increasing from an F1-score of 0.76 in the human-only group to 0.90 in the AI-assisted group. Despite this enhancement, both groups struggled to accurately identify non-fallacious statements, highlighting the need to further refine how AI assistance is leveraged."
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<abstract>This study investigates the impact of Hybrid Intelligence (HI) on improving the detection of logical fallacies, addressing the pressing challenge of misinformation prevalent across communication platforms. Employing a between-subjects experimental design, the research compares the performance of two groups: one relying exclusively on human judgment and another supported by an AI assistant. Participants evaluated a series of statements, with the AI-assisted group utilizing a custom ChatGPT-based chatbot that provided real-time hints and clarifications. The findings reveal a significant improvement in fallacy detection with AI support, increasing from an F1-score of 0.76 in the human-only group to 0.90 in the AI-assisted group. Despite this enhancement, both groups struggled to accurately identify non-fallacious statements, highlighting the need to further refine how AI assistance is leveraged.</abstract>
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%0 Conference Proceedings
%T Hybrid Intelligence for Logical Fallacy Detection
%A Kutepova, Mariia
%A Khatib, Khalid Al
%Y Blodgett, Su Lin
%Y Curry, Amanda Cercas
%Y Dev, Sunipa
%Y Li, Siyan
%Y Madaio, Michael
%Y Wang, Jack
%Y Wu, Sherry Tongshuang
%Y Xiao, Ziang
%Y Yang, Diyi
%S Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-353-1
%F kutepova-khatib-2025-hybrid
%X This study investigates the impact of Hybrid Intelligence (HI) on improving the detection of logical fallacies, addressing the pressing challenge of misinformation prevalent across communication platforms. Employing a between-subjects experimental design, the research compares the performance of two groups: one relying exclusively on human judgment and another supported by an AI assistant. Participants evaluated a series of statements, with the AI-assisted group utilizing a custom ChatGPT-based chatbot that provided real-time hints and clarifications. The findings reveal a significant improvement in fallacy detection with AI support, increasing from an F1-score of 0.76 in the human-only group to 0.90 in the AI-assisted group. Despite this enhancement, both groups struggled to accurately identify non-fallacious statements, highlighting the need to further refine how AI assistance is leveraged.
%R 10.18653/v1/2025.hcinlp-1.16
%U https://aclanthology.org/2025.hcinlp-1.16/
%U https://doi.org/10.18653/v1/2025.hcinlp-1.16
%P 197-208
Markdown (Informal)
[Hybrid Intelligence for Logical Fallacy Detection](https://aclanthology.org/2025.hcinlp-1.16/) (Kutepova & Khatib, HCINLP 2025)
ACL
- Mariia Kutepova and Khalid Al Khatib. 2025. Hybrid Intelligence for Logical Fallacy Detection. In Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP), pages 197–208, Suzhou, China. Association for Computational Linguistics.