Text & Content Analysis

Context: entity (germans)  |  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
germans
Window
Last 30 days
Articles
3
From
2026-04-06 15:26:04+00
To
2026-05-02 04:00:14+00
Range
2026-04-03 00:19:26.581056+00 β†’ 2026-05-03 00:19:26.581056+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.9900 πŸ“Š 🧲
Business, Companies 0.5500 πŸ“Š 🧲
Civil Unrest, Conflict 0.5300 πŸ“Š 🧲
Political Theatre 0.3800 πŸ“Š 🧲
Technology 0.1600 πŸ“Š 🧲
Health 0.1400 πŸ“Š 🧲
Environment, Climate 0.1400 πŸ“Š 🧲
Food and Beverage 0.0600 πŸ“Š 🧲
Other 0.0500 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
2026-05-02 04:00:14+00 Politics theguardian.com Hope out of chaos: how the dark era of Trump is creating a new approach to global politics Analyze Patrick Wintour 😐 neutral 0.0708
2026-04-29 15:16:42+00 Health dw.com Germany: Merz hails 'historic' health care reform Analyze Ben Knight 😐 neutral 0.0883
2026-04-06 15:26:04+00 Politics theweek.com β€˜Long after that debt is paid, we keep sending the bill’ Analyze https://theweek.com/author/justin-klawans 😐 neutral 0.216