Text & Content Analysis

Context: entity (air force)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 4 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
air force
Window
Last 30 days
Articles
4
From
Wed, Sep 2 β€’ 10:00 PM EDT
To
Mon, Sep 28 β€’ 5:27 AM EDT
Range
Mon, Aug 31 β€’ 6:12 AM EDT β†’ Wed, Sep 30 β€’ 6:12 AM EDT
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.5000 πŸ“Š 🧲
Government 1.0200 πŸ“Š 🧲
Civil Unrest, Conflict 0.3800 πŸ“Š 🧲
Environment, Climate 0.3400 πŸ“Š 🧲
Technology 0.3100 πŸ“Š 🧲
Political Theatre 0.1900 πŸ“Š 🧲
Friends and Family 0.1800 πŸ“Š 🧲
Entertainment 0.0700 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 4 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-28 09:27:53+00 Politics retrosimba.com Pitching, prose, politics: The many sides to Larry Jackson Analyze retrosimba 😐 neutral 0.1278
2026-09-14 21:13:17+00 Science defensenews.com β€˜It’s not science fiction’: US Air Force must build trust in AI, says expert Analyze Claire Barrett 😐 neutral 0.1143
2026-09-11 00:09:36+00 Politics klcc.org Oregon Sen. Jeff Merkley, U.S. Rep. Val Hoyle, raise concerns about corruption in Springfield townhall Analyze Rebecca Hansen-White 😐 neutral 0.095
2026-09-03 02:00:00+00 Entertainment galvnews.com "Mayday" an action comedy, but scarce on both Analyze DUSTIN CHASE 😐 neutral 0.1054