Text & Content Analysis

Context: entity (david zaslav)  |  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
david zaslav
Window
Last 24h
Articles
1
From
Tue, Sep 22 β€’ 2:50 PM EDT
To
Tue, Sep 22 β€’ 2:50 PM EDT
Range
Mon, Sep 21 β€’ 6:13 PM EDT β†’ Tue, Sep 22 β€’ 6:13 PM 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
Government 0.4700 πŸ“Š 🧲
Business, Companies 0.3800 πŸ“Š 🧲
Environment, Climate 0.0900 πŸ“Š 🧲
Entertainment 0.0500 πŸ“Š 🧲
Political Theatre 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
2026-09-22 18:50:18+00 Business cnn.com What we know β€” and don’t Analyze Brian Stelter,Liam Reilly 😐 neutral 0.0493