Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
5-2025
Abstract
Online debates can enhance critical thinking but may escalate into hostile attacks. As humans are increasingly reliant on Generative AI (GenAI) in writing tasks, we need to understand how people utilize GenAI in online debates. To examine the patterns of writing behavior while making arguments with GenAI, we created an online forum for soccer fans to engage in turn-based and free debates in a post format with the assistance of ChatGPT, arguing on the topic of "Messi vs Ronaldo". After 13 sessions of two-part study and semi-structured interviews with 39 participants, we conducted content and thematic analyses to integrate insights from interview transcripts, ChatGPT records, and forum posts. We found that participants prompted ChatGPT for aggressive responses, created posts with similar content and logical fallacies, and sacrificed the use of ChatGPT for better human-human communication. This work uncovers how polarized forum members work with GenAI to engage in debates online.
Keywords
Co-Writing, AI-Mediated Communication, Human-AI Collaboration, Online Debate, Remote Collaboration, Generative AI, Large Language Models
Discipline
Artificial Intelligence and Robotics | Databases and Information Systems
Research Areas
Information Systems and Management
Areas of Excellence
Digital transformation
Publication
CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, April 26 -May 1
First Page
1
Last Page
22
Identifier
10.1145/3706598.3713829
Publisher
ACM
City or Country
United States of America
Citation
ZENG, Yuhan; SHI, Yingxuan; HUANG, Xuehan; NAH, Fiona Fui-hoon; and LC, Ray.
“Ronaldo’s a poser!”: How the use of generative AI shapes debates in online forums. (2025). CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, April 26 -May 1. 1-22.
Available at: https://ink.library.smu.edu.sg/sis_research/10877
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3706598.3713829