Text & Content Analysis

Context: entity (merz)  |  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
merz
Window
Last 30 days
Articles
3
From
2026-04-14 15:02:48+00
To
2026-05-11 08:37:21+00
Range
2026-04-13 15:43:39.197165+00 β†’ 2026-05-13 15:43:39.197165+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
dw.com 3 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.4100 πŸ“Š 🧲
Civil Unrest, Conflict 0.4000 πŸ“Š 🧲
Political Theatre 0.2500 πŸ“Š 🧲
Food and Beverage 0.2400 πŸ“Š 🧲
Health 0.2300 πŸ“Š 🧲
Technology 0.1900 πŸ“Š 🧲
Business, Companies 0.1600 πŸ“Š 🧲
Environment, Climate 0.0900 πŸ“Š 🧲
Other 0.0200 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
2026-05-11 08:37:21+00 Business dw.com Germany's business community is frustrated and disillusioned Analyze Sabine Kinkartz 😐 neutral 0.1201
2026-04-29 15:16:42+00 Health dw.com Germany: Merz hails 'historic' health care reform Analyze Ben Knight 😐 neutral 0.0883
2026-04-14 15:02:48+00 Politics dw.com Germany's aid to Ukraine faces challenges Analyze Christoph Hasselbach 😐 neutral 0.0916