Text & Content Analysis

Context: entity (george washington university)  |  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
george washington university
Window
Last 30 days
Articles
3
From
2026-04-15 18:41:23+00
To
2026-05-07 20:27:34+00
Range
2026-04-09 20:59:33.761472+00 β†’ 2026-05-09 20:59:33.761472+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.8800 πŸ“Š 🧲
Civil Unrest, Conflict 0.3600 πŸ“Š 🧲
Political Theatre 0.3100 πŸ“Š 🧲
Business, Companies 0.2100 πŸ“Š 🧲
Friends and Family 0.1200 πŸ“Š 🧲
Health 0.0600 πŸ“Š 🧲
Environment, Climate 0.0500 πŸ“Š 🧲
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
2026-05-07 20:27:34+00 Health wral.com Fact-check: Sanders says 15 million lost health insurance because of Trump's 'Big Beautiful Bill' Analyze Amy Sherman, PolitiFact reporter 😐 neutral 0.1187
2026-05-04 04:12:12+00 Politics newsday.com Redistricting war accelerates winner-take-all political combat that's straining American democracy Analyze The Associated Press 😐 neutral 0.1236
2026-04-15 18:41:23+00 Politics cnn.com Inside the sudden downfall of Eric Swalwell Analyze Sarah Ferris 😐 neutral 0.1407