Honour Research Project: Bias Detection through Unsupervised Learning
Bias Detection through Unsupervised Learning 30 Nov 2024 – Current
Executive Summary This innovative research project addresses a critical challenge in today’s digital information ecosystem: detecting and quantifying political bias in news articles and social media content without requiring labeled training data. The framework introduces a novel fully unsupervised pipeline that combines geometric embedding-based techniques with a multi-agent evaluation system to provide a comprehensive, nuanced assessment of media bias across two dimensions - political leaning and rhetorical bias intensity.
May 1, 2025
