Text & Content Analysis

Context: entity (german)  |  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
german
Window
Last 7 days
Articles
3
From
2026-09-12 11:49:16+00
To
2026-09-14 13:35:59+00
Range
2026-09-09 06:36:19.735071+00 β†’ 2026-09-16 06:36:19.735071+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.2400 πŸ“Š 🧲
Government 0.6600 πŸ“Š 🧲
Civil Unrest, Conflict 0.3900 πŸ“Š 🧲
Political Theatre 0.2500 πŸ“Š 🧲
Food and Beverage 0.2300 πŸ“Š 🧲
Technology 0.1500 πŸ“Š 🧲
Friends and Family 0.0500 πŸ“Š 🧲
Entertainment 0.0200 πŸ“Š 🧲
Other 0.0100 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
2026-09-14 13:35:59+00 Politics theweek.com Swedish elections on a knife-edge Analyze https://theweek.com/author/will-barker-the-week-uk 😐 neutral 0.0752
2026-09-14 01:30:23+00 Sports sports.yahoo.com Zverev turns US Open tears into triumph Analyze Paul Battison - BBC Sport Journalist; Phil Cartwright - BBC Sport journalist 😐 neutral 0.1143
2026-09-12 11:49:16+00 Politics derspiegel.substack.com Germany’s Political Tailspin: Your Weekly SPIEGEL Recap Analyze DER SPIEGEL,Charles Hawley 😐 neutral 0.0744