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
Thu, Sep 17 β€’ 11:27 AM EDT
To
Sat, Sep 26 β€’ 7:03 PM EDT
Range
Fri, Aug 28 β€’ 10:00 PM EDT β†’ Sun, Sep 27 β€’ 10:00 PM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.6400 πŸ“Š 🧲
Food and Beverage 0.6100 πŸ“Š 🧲
Technology 0.3400 πŸ“Š 🧲
Health 0.2500 πŸ“Š 🧲
Business, Companies 0.1500 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
2026-09-26 23:03:39+00 Health bbc.com Can you be healthy if you eat ultra-processed foods? I asked a dietitian Analyze bbc.com 😐 neutral 0.089
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