Sports, Politics, and Social Media: A Human-AI Collaborative Analysis of Consumer Reactions to Trump’s Break 50 Appearance
Thanks for your interest! This repository contains the code, prompts, fine-tuning data, and outputs associated with the paper "Sports, Politics, and Social Media: A Human-AI Collaborative Analysis of Consumer Reactions to Trump’s Break 50 Appearance." The study examined audience discourse surrounding Bryson DeChambeau and Donald Trump’s Break 50 video using a human-AI collaborative framework.
Folder/File | Description |
---|---|
BERTopic/BERTopic_hierarchical_clustering |
Hierarchical clustering outputs from BERTopic modeling. |
BERTopic/BERTopic_topic_results |
Topic modeling results, including topic distributions and keywords. |
Fine-tuning/prompt_gpt-4.1 |
Prompt used with GPT-4.1 for generating fine-tuning data. |
Fine-tuning/ft_gpt-4o-mini_training |
Training dataset used for fine-tuning GPT-4o-mini. |
Fine-tuning/ft_gpt-4o-mini_validation |
Validation dataset used for fine-tuning GPT-4o-mini. |
Reasoning/prompt_o4-mini |
Prompt used with o4-mini for reasoning runs. |
Reasoning/output_o4-mini |
Outputs generated using the o4-mini model in reasoning runs. |
Appendix |
Supplementary files provided as an appendix to support verification and replication. |
- Clone the repository and navigate into the desired folder.
- Explore the
BERTopic
folder for topic modeling outputs and hierarchical clustering files. - Use the
Fine-tuning
folder if you wish to replicate or adapt the fine-tuning of GPT-4o-mini with the provided training and validation sets. - Refer to the
Reasoning
folder for prompt templates and example outputs from reasoning experiments. - Supplementary details and additional resources are available in the
Appendix
.
These resources are designed to provide transparency, replicability, and adaptability for future research at the intersection of sport, politics, and AI-assisted analysis.
If you use this repository or build upon this work, please cite the associated paper:
@article{qian2025break50,
title={Sports, Politics, and Social Media: A Human-AI Collaborative Analysis of Consumer Reactions to Trump’s Break 50 Appearance},
author={Qian, Tyreal Yzihou and Gong, Hua and Xu, Chenglong},
journal={Journal of Retailing and Consumer Services},
year={2026},
}
For questions, suggestions, or collaboration opportunities, please contact: Tyreal Yizhou Qian.