Text & Content Analysis

Context: entity (strong)  |  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
strong
Window
Last 7 days
Articles
2
From
Mon, Sep 14 β€’ 2:28 PM EDT
To
Wed, Sep 16 β€’ 12:01 AM EDT
Range
Mon, Sep 14 β€’ 4:15 AM EDT β†’ Mon, Sep 21 β€’ 4:15 AM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.6500 πŸ“Š 🧲
Business, Companies 0.5200 πŸ“Š 🧲
Political Theatre 0.3700 πŸ“Š 🧲
Technology 0.2400 πŸ“Š 🧲
Environment, Climate 0.1700 πŸ“Š 🧲
Civil Unrest, Conflict 0.0400 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
2026-09-16 04:01:29+00 Politics cnn.com One word that explains Trump’s AI denialism Analyze Stephen Collinson 😐 neutral 0.0463
2026-09-14 18:28:00+00 Politics wcvb.com UMass Amherst national poll reveals concerns about AI as politicians battle over what to do Analyze Sharman Sacchetti,Phil Tenser 😐 neutral 0.0891