Text & Content Analysis

Context: entity (evelyn hockstein)  |  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
evelyn hockstein
Window
Last 30 days
Articles
4
From
2026-08-22 07:40:15+00
To
2026-09-16 04:01:29+00
Range
2026-08-20 14:44:20.893055+00 β†’ 2026-09-19 14:44:20.893055+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 4 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.8400 πŸ“Š 🧲
Political Theatre 0.7100 πŸ“Š 🧲
Environment, Climate 0.4900 πŸ“Š 🧲
Business, Companies 0.3600 πŸ“Š 🧲
Civil Unrest, Conflict 0.3100 πŸ“Š 🧲
Technology 0.2700 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
2026-09-16 04:01:29+00 Politics cnn.com One word that explains Trump’s AI denialism Analyze Stephen Collinson 😐 neutral 0.0463
2026-09-10 17:46:47+00 Politics cnn.com Trump to send $500 rebate checks to nearly one million Obamacare enrollees Analyze Tami Luhby 😐 neutral 0.1335
2026-08-25 06:00:29+00 Business cnn.com The US says it’ll crack down on countries doing business with Iran. Who’s buying Iranian oil? Analyze Ramishah Maruf 😐 neutral 0.0146
2026-08-22 07:40:15+00 Politics cnn.com Trump’s 75-country immigrant visa ban struck down by judge Analyze Hanna Park 😐 neutral 0.0694