A Large-scale Empirical Study on Large Language Models for Election Prediction

Abstract

This paper presents a comprehensive empirical study examining the capabilities of large language models in election prediction tasks. Through large-scale experiments, we analyze how different LLMs perform in predicting electoral outcomes and investigate the factors that influence their predictive accuracy in political contexts.