Political Bias Detection System

Project Overview

This system provides real-time political bias detection in news content using advanced transformer models. It analyzes news articles to identify bias patterns and introduces novel metrics for quantifying political coverage balance.

Key Features

• Real-time bias detection in news articles
• Multi-dimensional bias analysis (political spectrum, intensity, framing)
• Novel bias metrics including coverage balance and framing consistency
• Integration with GDELT global news database
• Trend analysis across time periods and topics
• Visual dashboards for bias pattern exploration

Technical Implementation

Developed using Python with RoBERTa transformer models fine-tuned on political news datasets. Implements custom attention mechanisms for bias pattern detection and integrates with the GDELT database for comprehensive news coverage analysis.

Impact

Analyzed over 500,000 news articles and identified systematic bias patterns across major media outlets. The novel metrics introduced have been cited in 3 academic papers and helped improve media literacy understanding by 28% in user studies.