Text & Content Analysis

Context: entity (america)  |  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
america
Window
Last 24h
Articles
3
From
2026-09-15 23:30:00+00
To
2026-09-16 04:03:12+00
Range
2026-09-15 17:05:17.578977+00 β†’ 2026-09-16 17:05:17.578977+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.3400 πŸ“Š 🧲
Political Theatre 0.4900 πŸ“Š 🧲
Environment, Climate 0.4700 πŸ“Š 🧲
Business, Companies 0.3700 πŸ“Š 🧲
Civil Unrest, Conflict 0.1700 πŸ“Š 🧲
Technology 0.0800 πŸ“Š 🧲
Entertainment 0.0400 πŸ“Š 🧲
Food and Beverage 0.0200 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
2026-09-16 04:03:12+00 Business wral.com US-Canada trade war further taxes small businesses as costs rise during the Iran war Analyze MAE ANDERSON β€” AP Business Writer 😐 neutral 0.0203
2026-09-16 04:01:29+00 Politics cnn.com One word that explains Trump’s AI denialism Analyze Stephen Collinson 😐 neutral 0.0463
2026-09-15 23:30:00+00 Politics spectrumlocalnews.com SCOTUS denies parts of Trump admin.'s mail voting rule Analyze spectrumlocalnews.com 😐 neutral 0.0985