Text & Content Analysis

Context: entity (dw)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
dw
Window
Last 30 days
Articles
3
From
2026-02-27 13:12:28+00
To
2026-03-13 05:00:42+00
Range
2026-02-24 13:19:13.809472+00 β†’ 2026-03-26 13:19:13.809472+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
dw.com 2 66.67 πŸ“Š πŸ“° 🧲
theguardian.com 1 33.33 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 1.0400 πŸ“Š 🧲
Environment, Climate 0.4600 πŸ“Š 🧲
Business, Companies 0.3400 πŸ“Š 🧲
Government 0.3200 πŸ“Š 🧲
Political Theatre 0.3000 πŸ“Š 🧲
Technology 0.1800 πŸ“Š 🧲
Entertainment 0.1500 πŸ“Š 🧲
Food and Beverage 0.1000 πŸ“Š 🧲
Other 0.0900 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-13 05:00:42+00 Politics theguardian.com Could the US military turn on Trump? Analyze Jonathan Freedland,Danielle Stephens,Maz Ebtehaj 😐 neutral 0.1519
2026-03-04 06:43:24+00 Politics dw.com Iraq, caught in the middle, braces for Iran war impact Analyze Cathrin Schaer,Omar Albam 😐 neutral 0.0725
2026-02-27 13:12:28+00 Business dw.com Did Germany's Merz pull off business balancing act in China? Analyze Jason Lu 😐 neutral 0.111