Text & Content Analysis

Context: entity (6 trillion)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 2 articles

This page analyzes how a selected category, entity, or narrative frame appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.

Corpus KPIs

Entity
6 trillion
Window
Last 30 days
Articles
2
From
Sat, Sep 19 β€’ 1:43 PM EDT
To
Thu, Sep 24 β€’ 5:30 AM EDT
Range
Tue, Sep 1 β€’ 3:01 PM EDT β†’ Thu, Oct 1 β€’ 3:01 PM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
detroitnews.com 1 50.00 πŸ“Š πŸ“° 🧲
fortune.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.6900 πŸ“Š 🧲
Government 0.4500 πŸ“Š 🧲
Technology 0.2700 πŸ“Š 🧲
Business, Companies 0.2500 πŸ“Š 🧲
Political Theatre 0.1100 πŸ“Š 🧲
Health 0.1000 πŸ“Š 🧲
Civil Unrest, Conflict 0.0700 πŸ“Š 🧲
Food and Beverage 0.0300 πŸ“Š 🧲
Other 0.0200 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-24 09:30:25+00 Health fortune.com A $499 checkup gave me a peek at the future of AI-powered health care Analyze Diane Brady 😐 neutral 0.1291
2026-09-19 17:43:42+00 Business detroitnews.com Great Lakes bind U.S., Canada trade imperiled by Trump tariffs Analyze Brendan Murray 😐 neutral 0.1218