Text & Content Analysis

Context: entity (ukrainian)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 4 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
ukrainian
Window
Last 30 days
Articles
4
From
2026-03-12 04:00:36+00
To
2026-03-16 04:56:10+00
Range
2026-02-25 08:09:00.40886+00 β†’ 2026-03-27 08:09:00.40886+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.3800 πŸ“Š 🧲
Political Theatre 0.7800 πŸ“Š 🧲
Environment, Climate 0.5900 πŸ“Š 🧲
Civil Unrest, Conflict 0.5200 πŸ“Š 🧲
Government 0.4100 πŸ“Š 🧲
Entertainment 0.1900 πŸ“Š 🧲
Friends and Family 0.0800 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 4 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-16 04:56:10+00 Politics theguardian.com Key takeaways from Oscars 2026: horror wins, tech loses and politics is hard to ignore Analyze Adrian Horton,Benjamin Lee,Owen Myers 😐 neutral 0.196
2026-03-15 14:33:02+00 Politics fortune.com As Iran war knocks Trump back on his political heels, he lashes out a news coverage while taking flak from top MAGA figures Analyze Will Weissert,The Associated Press 😐 neutral 0.0446
2026-03-13 08:00:45+00 Sports theguardian.com Sports quiz of the week: world records, wrong turns and wild scenes Analyze Paul Campbell 😐 neutral 0.0512
2026-03-12 04:00:36+00 Politics cnn.com How Trump’s Iran exposure could hand Putin a lottery win Analyze Stephen Collinson 😐 neutral 0.0897