Machine learning and AI in political science

Abstract

This panel explores advances in machine-learning techniques and other AI-assisted methods in political science. Beyond reviewing the state-of-the-art it presents uses and applications of software solutions from lesser to more widely used ones, investigating the advantages, pitfalls and potential uses of such tools for political science.

Title	Details
Introducing the CAP BABEL MACHINE: A state-of-the-art AI solution for automated coding of policy agendas	View Paper Details
Supervised machine learning to study political communication: know the pitfalls to maximise advantages	View Paper Details
In ChatGPT we trust? Auditing how generative AIs understand and detect online political misinformation	View Paper Details
Data Mining and Machine Learning for Political Events: An Application to Produce Indicators for Presidential Systems	View Paper Details