Text & Content Analysis

Context: entity (russian)  |  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
russian
Window
Last 7 days
Articles
4
From
2026-09-09 13:29:02+00
To
2026-09-11 20:27:19+00
Range
2026-09-04 22:37:37.958639+00 β†’ 2026-09-11 22:37:37.958639+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.4900 πŸ“Š 🧲
Political Theatre 1.0000 πŸ“Š 🧲
Civil Unrest, Conflict 0.5500 πŸ“Š 🧲
Environment, Climate 0.4300 πŸ“Š 🧲
Business, Companies 0.3700 πŸ“Š 🧲
Health 0.1000 πŸ“Š 🧲
Friends and Family 0.0500 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
2026-09-11 20:27:19+00 Politics wtop.com House tees up vote on Russia sanctions bill, but prospects for passage are uncertain Analyze WTOP News 😐 neutral 0.1315
2026-09-11 17:22:17+00 Business theguardian.com β€˜World’s most profitable football business’: Abramovich’s frozen Chelsea cash earns Β£175m Analyze Rob Davies 😐 neutral 0.0682
2026-09-11 04:01:30+00 Politics cnn.com Even if it’s real, Trump’s new Ukraine push is already being undermined by events Analyze Stephen Collinson 😐 neutral 0.0118
2026-09-09 13:29:02+00 Politics theconversation.com Place-name politics: Why renaming streets named Trump requires more than just outrage Analyze Reuben Rose-Redwood 😐 neutral 0.0686