Adimen Artifizialeko metodoak Gizarte Ikerkuntzarako: Analisi Demografikoa, Jarreren Detekzioa eta Joera Politikoen Identifikazioa

Abstract

This thesis summary explores the intersection of social research and artificial intelligence (AI), investigating how AI technology can be leveraged to enhance the methodology and outcomes of social science studies. The research explores the capabilities of AI, particularly Machine Learning and Natural Language Processing (NLP), to analyze large datasets, identify patterns and infer features that would be challenging to obtain through traditional methods. To achieve this goal, we develop methodologies to automatically characterize social media users leveraging their text content and user interactions thereby enabling more accurate and generalizable predictions. The developed methodologies are then applied to three main applications including demographic characteristic identification, stance detection and political leaning inference.