DebateGPT

DebateGPT

Code and data for studying the conversational persuasiveness of GPT-4.

Code and data for studying conversational persuasiveness of GPT-4 vs. human debaters, published in Nature Human Behaviour. Includes scripts for data processing, linguistic feature extraction, and statistical analysis. Reproduces all experiments from the associated arXiv paper.

2026 ProposalLarge Language Model
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Data Science Lab

Data Science Lab
Robert West

Prof. Robert West

Our research aims to make sense of large amounts of data. Frequently, the data we analyze is collected on the Web, e.g., using server logs, social media, wikis, online news, online games, etc. We distill heaps of raw data into meaningful insights by developing and applying algorithms and techniques in areas including social and information network analysis, machine learning, computational social science, data mining, natural language processing, and human computation.

This page was last edited on 2026-03-03.