Text & Content Analysis

Context: entity (gregory brew)  |  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
gregory brew
Window
Last 30 days
Articles
2
From
2026-03-21 00:08:02+00
To
2026-03-27 00:28:45+00
Range
2026-02-25 06:16:06.833025+00 β†’ 2026-03-27 06:16:06.833025+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.5100 πŸ“Š 🧲
Environment, Climate 0.5100 πŸ“Š 🧲
Government 0.5000 πŸ“Š 🧲
Political Theatre 0.3300 πŸ“Š 🧲
Health 0.1000 πŸ“Š 🧲
Business, Companies 0.0200 πŸ“Š 🧲
Technology 0.0100 πŸ“Š 🧲
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
2026-03-27 00:28:45+00 Politics cnn.com Many of Trump’s remaining options in Iran risk heavy casualties with dubious chances of success Analyze Adam Cancryn,Zachary Cohen,Alayna Treene 😐 neutral 0.0904
2026-03-21 00:08:02+00 Politics cnn.com Why the Trump administration is easing sanctions on certain Iranian oil stockpiles Analyze Adam Cancryn 😐 neutral 0.0389