Text & Content Analysis

Context: entity (bessent)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 2 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
bessent
Window
Last 30 days
Articles
2
From
2026-04-18 11:16:57+00
To
2026-04-23 04:00:51+00
Range
2026-04-01 02:50:17.759731+00 β†’ 2026-05-01 02:50:17.759731+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 1 50.00 πŸ“Š πŸ“° 🧲
usatoday.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.2300 πŸ“Š 🧲
Political Theatre 0.2400 πŸ“Š 🧲
Business, Companies 0.2200 πŸ“Š 🧲
Environment, Climate 0.1700 πŸ“Š 🧲
Technology 0.0700 πŸ“Š 🧲
Civil Unrest, Conflict 0.0300 πŸ“Š 🧲
Food and Beverage 0.0200 πŸ“Š 🧲
Friends and Family 0.0100 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-04-23 04:00:51+00 Politics cnn.com Why the Trump team’s arcane economic theory won’t play at the gas pumps Analyze Stephen Collinson 😐 neutral 0.0752
2026-04-18 11:16:57+00 Politics usatoday.com Trump touts 'record refunds' but polls show US indifferent to tax cuts Analyze , USA TODAY 😐 neutral 0.1285