Pulse Wire
AI-Powered Media Transparency Platform
A next-generation news analysis platform that exposes media manipulation, tracks ownership networks, and detects hypocrisy in news coverage. Built with a mission: optimize for truth, never for clicks.
“We will never optimize for clicks. We will only optimize for truth.”
The Challenge
Hidden Agendas
Media outlets rarely disclose who owns them, who funds them, or what conflicts of interest drive their coverage.
Narrative Manipulation
Propaganda techniques—loaded language, emotional appeals, fear-mongering—are pervasive but hard to detect for average readers.
Double Standards
Outlets change their stance based on political convenience. Yesterday's "patriotic" is today's "dangerous"—we needed to expose this.
Our Solution
We built a comprehensive media analysis platform with multi-agent AI architecture, combining web scraping, LLM analysis, and data visualization.
BS Detector
Propaganda score 0-100
Hypocrisy Engine
"This you?" methodology
Follow The Money
Ownership & funding maps
Network Graphs
Influence visualization
Story Analysis
Loaded language detection
Newsstand
Multiple view modes
AI Agents
5-agent pipeline
Real-time
Live news processing
Tech Stack
- Next.js 16
- React 19
- TypeScript
- Tailwind CSS
- Gemini 3.0
- Multi-Agent System
- Web Scraping
- NLP Pipeline
- Framer Motion
- Network Graphs
- Interactive Cards
- Theme System
- RSS Parser
- Cheerio
- JSON Database
- Real-time Feeds
Core Features in Detail
BS Detector (Propaganda Analyzer)
Every story gets a propaganda score from 0-100. The system identifies loaded language, emotional manipulation, high-fear keywords, and rage-bait tactics. Visual indicator: RED for propaganda, GREEN for neutral fact-based reporting.
Story headline with fear-mongering language → Score: 78/100 (High Propaganda)Hypocrisy Detection Engine
Compares outlets' current coverage against their historical stances using the "This you?" methodology. Exposes when outlets flip their position based on political convenience.
NYT 2016: "Electoral college challenges are patriotic" vs NYT 2024: "Electoral college challenges are dangerous" → Hypocrisy DetectedFollow The Money
Interactive network graphs showing media ownership structures, funding sources, lobbying connections, and political ties. Traces ownership to ultimate shareholders (e.g., "BlackRock via Disney").
CNN → Warner Bros Discovery → Major shareholders → Political connections → Lobbying activityMulti-Agent AI Pipeline
Five specialized AI agents working together: Scout Agent finds leads, Investigator scrapes content, Analyst performs forensic analysis, Editor refines output, and Publisher formats for display.
News article → Scout finds → Investigator fetches → Analyst scores → Editor polishes → Published with full transparencyThe Three Pillars
Review The Code
Forensic analysis traces story lineage—who wrote it, who edited it, where the narrative originated, and how it spread.
Follow The Money
Map networks of influence—ownership chains, funding sources, political donations, and conflicts of interest.
Hypocrisy Detection
Expose double standards by comparing current coverage to historical stances on the same issues.
Results & Impact
Platform Capabilities
- Real-time analysis of breaking news stories
- Network visualization of media ownership
- Historical archive for hypocrisy detection
- Politician funding tracker with voting records
Technical Achievements
- 5-agent AI pipeline for comprehensive analysis
- Gemini 3.0 integration for deep reasoning
- Multiple theme support (Dark, Paper, Zine)
- Interactive flip cards with detailed analysis
Need media analysis or AI transparency tools?
We build AI-powered analysis platforms that expose hidden patterns. From media transparency to data forensics—we can build it.