Text & Content Analysis

Context: entity (mckinsey)  |  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
mckinsey
Window
Last 7 days
Articles
2
From
2026-03-16 05:30:00+00
To
2026-03-22 12:00:03+00
Range
2026-03-16 04:18:16.578336+00 β†’ 2026-03-23 04:18:16.578336+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.0500 πŸ“Š 🧲
Government 0.4300 πŸ“Š 🧲
Technology 0.2800 πŸ“Š 🧲
Friends and Family 0.1800 πŸ“Š 🧲
Environment, Climate 0.0500 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
2026-03-22 12:00:03+00 Business linkedin.com Gen Z really, really loves China's trains Analyze LinkedInEditors 😐 neutral 0.2054
2026-03-16 05:30:00+00 Business vogue.com Is the Girlboss Making a Comeback? Analyze Amy Francombe 😐 neutral 0.1266