Text & Content Analysis

Context: entity (a couple of days later)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 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
a couple of days later
Window
Last 30 days
Articles
1
From
2026-03-13 08:00:34+00
To
2026-03-13 08:00:34+00
Range
2026-02-26 00:16:10.666507+00 β†’ 2026-03-28 00:16:10.666507+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.5300 πŸ“Š 🧲
Business, Companies 0.2300 πŸ“Š 🧲
Friends and Family 0.1200 πŸ“Š 🧲
Political Theatre 0.0900 πŸ“Š 🧲
Government 0.0200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-13 08:00:34+00 Politics cnn.com Pete Hegseth wanted an β€˜American Crusade.’ Now he’s leading a war in the Middle East Analyze Zachary B. Wolf 😐 neutral 0.0768