The FALCON Framework
In an era of digital misinformation, FALCON (Fake News Analysis & Leveraging COntent Networks) stands as a beacon of truth. Created by Saksham Pathak, this platform leverages state-of-the-art Generative AI to provide real-time, explainable fact-checking.
The Multi-Stage Inference Pipeline
Unlike simple sentiment analysis, FALCON uses a sophisticated series of LLM calls to process information:
- Stage 1: Intent Extraction - Identifying the core claim from raw text.
- Stage 2: Cross-Reference - Querying reliable sources like the Wikipedia API and Serper (Google Search) for factual grounding.
- Stage 3: Verification Logic - Comparing the claim against retrieved evidence using GPT-4.
- Stage 4: Confidence Score Generation - Assigning a final probability of truth.
Why FALCON is Different
Most fact-checkers are "black boxes." FALCON is **Explainable AI (XAI)**. It doesn't just tell you if a claim is false; it shows you exactly which source contradicted it and why.
Future Roadmap
Saksham is currently working on scaling FALCON into a multi-lingual agent that can monitor entire social media feeds in real-time. This project is a centerpiece of his research at IIIT Lucknow.