Text & Content Analysis

Context: entity (boozman)  |  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
boozman
Window
Last 30 days
Articles
2
From
2026-06-28 17:00:49+00
To
2026-07-24 16:45:06+00
Range
2026-06-25 19:42:44.943696+00 β†’ 2026-07-25 19:42:44.943696+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
talkbusiness.net 1 50.00 πŸ“Š πŸ“° 🧲
thefencepost.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.0600 πŸ“Š 🧲
Environment, Climate 0.5200 πŸ“Š 🧲
Business, Companies 0.3100 πŸ“Š 🧲
Technology 0.1000 πŸ“Š 🧲
Food and Beverage 0.0200 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
2026-07-24 16:45:06+00 Science thefencepost.com Colorado Commission prioritizes feelings over science Analyze Rachel Gabel 😐 neutral 0.1021
2026-06-28 17:00:49+00 Politics talkbusiness.net The farm crisis Analyze Roby Brock 😐 neutral 0.0951