Text & Content Analysis

Context: entity (badger state)  |  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
badger state
Window
Last 30 days
Articles
1
From
2026-03-16 21:00:00+00
To
2026-03-16 21:00:00+00
Range
2026-02-24 23:14:52.943041+00 β†’ 2026-03-26 23:14:52.943041+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.3900 πŸ“Š 🧲
Civil Unrest, Conflict 0.2700 πŸ“Š 🧲
Political Theatre 0.1000 πŸ“Š 🧲
Business, Companies 0.0700 πŸ“Š 🧲
Environment, Climate 0.0500 πŸ“Š 🧲
Food and Beverage 0.0500 πŸ“Š 🧲
Entertainment 0.0500 πŸ“Š 🧲
Health 0.0100 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
2026-03-16 21:00:00+00 Politics nbcnews.com An early test for Democrats' anti-ICE messaging: From the Politics Desk Analyze The Politics Desk 😐 neutral 0.1588