Text & Content Analysis

Context: entity (megan)  |  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
megan
Window
Last 30 days
Articles
2
From
2026-08-21 04:30:00+00
To
2026-09-17 15:27:55+00
Range
2026-08-18 20:52:03.167921+00 β†’ 2026-09-17 20:52:03.167921+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cbsnews.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
Government 0.7900 πŸ“Š 🧲
Business, Companies 0.4900 πŸ“Š 🧲
Health 0.2400 πŸ“Š 🧲
Entertainment 0.2300 πŸ“Š 🧲
Technology 0.1600 πŸ“Š 🧲
Friends and Family 0.0500 πŸ“Š 🧲
Environment, Climate 0.0300 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
2026-09-17 15:27:55+00 Health cbsnews.com 1 in 3 Americans with health insurance have medical debt, survey finds Analyze Megan Cerullo 😐 neutral 0.0385
2026-08-21 04:30:00+00 Business vogue.com The Business of Katseye Analyze Kati Chitrakorn 😐 neutral 0.0993