BIASBREAKER.

An end-to-end AI product designed to neutralize news polarization by synthesizing balanced summaries from ideologically opposed sources.

Article Reconciliation

Fact Synthesis Preview
// NLP Logic

Cross-Reference Mapping

The core engine performs factual overlap identification, isolating claims appearing in both sources (e.g., CNN and Fox News) while flagging unique ideological perspectives for neutral attribution.

Input A Center-Left
Input B Center-Right
Input UI
Step 01

URL Ingestion

01 / 03
Processing UI
Step 02

NPOV Chain Processing

02 / 03
Saved History
Step 03

Persistent Storage

03 / 03

Technical Stack

  • Engine GPT-4o
  • Extraction BS4
  • Frontend Streamlit
  • Database JSON/Txt

Key Engineering Insight

Unlike generic news aggregators, BiasBreaker enforces source attribution at the sentence level. This prevents the LLM from hallucinating a "middle ground" and instead forces it to report exactly which outlet made which claim.