Text & Content Analysis

Context: entity (benjamin d applebaum)  |  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
benjamin d applebaum
Window
Last 30 days
Articles
1
From
2026-05-07 04:00:52+00
To
2026-05-07 04:00:52+00
Range
2026-04-08 11:18:56.90917+00 β†’ 2026-05-08 11:18:56.90917+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 0.3600 πŸ“Š 🧲
Political Theatre 0.2500 πŸ“Š 🧲
Business, Companies 0.1300 πŸ“Š 🧲
Environment, Climate 0.1200 πŸ“Š 🧲
Government 0.0900 πŸ“Š 🧲
Friends and Family 0.0500 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
2026-05-07 04:00:52+00 Politics cnn.com Trump is trapped by his own strategy as he grapples for an exit in Iran Analyze Stephen Collinson 😐 neutral 0.0183