Text & Content Analysis

Context: entity (follow satellite)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 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
follow satellite
Window
Last 7 days
Articles
1
From
Fri, Sep 25 β€’ 12:01 AM EDT
To
Fri, Sep 25 β€’ 12:01 AM EDT
Range
Fri, Sep 18 β€’ 6:23 PM EDT β†’ Fri, Sep 25 β€’ 6:23 PM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.5000 πŸ“Š 🧲
Environment, Climate 0.2700 πŸ“Š 🧲
Political Theatre 0.1300 πŸ“Š 🧲
Health 0.0500 πŸ“Š 🧲
Technology 0.0400 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-25 04:01:30+00 Politics cnn.com Intelligence from Chinese groups aiding in Iran’s increasingly effective targeting of US sites, sources say Analyze Katie Bo Lillis,Zachary Cohen,Kylie Atwood,Haley Britzky 😐 neutral 0.04