BARI

The BARI project aims to create a user-friendly platform that allows anyone to analyze media bias in texts. Media bias refers to one-sided reporting that influences public perception. BARI addresses the challenges of identifying bias by developing a standardized taxonomy and specialized classifiers trained through human feedback and large language models (LLMs). The goal is to provide a scalable and accessible infrastructure for media bias analysis, usable even by non-experts. Regular audits and expert reviews ensure the quality of classifications. BARI aims to support research across various disciplines and help users better evaluate the information they encounter daily.