An Artificial Intelligence Approach to Measuring Legislative Obstruction

• In Event: Applications of Large Language Models

Brief Overview

I develop a novel method to measure legislative obstruction using GPT-4 and latent variable models. Applied to 100,000+ debates in the Canadian House of Commons, I find a rise in obstruction leading up to the 1913 closure rule.

Author

• Mitchell Bosley, University of Michigan