unfiltered news

Unfiltered News — Executive Summary Unfiltered News is an objective media analysis platform that parses news text to evaluate bias, map corporate financial networks, and extract cyber threat intelligence. Built with a Flask backend (NLTK, TextBlob, Regex NER, Wikidata) and a Cyber Brutalist JS/Cytoscape.js frontend, it drives five core modules: Bias Detector (weighted objectivity scoring), Cross-Reference Engine (fact corroboration), Money Tracker (financial graphs), Cyber Scanner (automated CVE and MITRE ATT&CK/CWE mapping), and Data Hub. Key engineering wins include resolving entity leakage, automating threat intel extraction, and optimizing multi-word bias detection, with upcoming plans to scale OSINT ingestion pipelines.