Text & Content Analysis

Context: entity (erin burnett)  |  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
erin burnett
Window
Last 30 days
Articles
3
From
2026-03-10 04:01:34+00
To
2026-03-13 04:00:35+00
Range
2026-02-26 16:04:56.47344+00 β†’ 2026-03-28 16:04:56.47344+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 3 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 1.0300 πŸ“Š 🧲
Political Theatre 0.9800 πŸ“Š 🧲
Environment, Climate 0.3100 πŸ“Š 🧲
Business, Companies 0.3000 πŸ“Š 🧲
Government 0.2100 πŸ“Š 🧲
Health 0.0700 πŸ“Š 🧲
Friends and Family 0.0500 πŸ“Š 🧲
Food and Beverage 0.0200 πŸ“Š 🧲
Other 0.0200 β€”
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
2026-03-13 04:00:35+00 Politics cnn.com Seven reasons why Trump hasn’t won the Iran war Analyze Stephen Collinson 😐 neutral 0.0455
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
2026-03-10 04:01:34+00 Politics cnn.com Why Trump can’t explain the start β€” or the endgame β€” of the war in Iran Analyze Stephen Collinson 😐 neutral 0.0221