Text & Content Analysis

Context: entity (andy kunz)  |  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
andy kunz
Window
Last 7 days
Articles
1
From
Sun, Oct 4 β€’ 6:30 AM EDT
To
Sun, Oct 4 β€’ 6:30 AM EDT
Range
Mon, Sep 28 β€’ 12:58 AM EDT β†’ Mon, Oct 5 β€’ 12:58 AM EDT
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
Environment, Climate 0.3800 πŸ“Š 🧲
Government 0.2900 πŸ“Š 🧲
Technology 0.2600 πŸ“Š 🧲
Business, Companies 0.0400 πŸ“Š 🧲
Political Theatre 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
2026-10-04 10:30:46+00 Business cnn.com Why doesn’t high speed rail work in America? Analyze Chris Isidore 😐 neutral 0.1066