Text & Content Analysis

Context: entity (mary brunkow)  |  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
mary brunkow
Window
Last 30 days
Articles
1
From
Mon, Oct 5 β€’ 5:37 AM EDT
To
Mon, Oct 5 β€’ 5:37 AM EDT
Range
Sat, Sep 5 β€’ 7:28 AM EDT β†’ Mon, Oct 5 β€’ 7:28 AM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
dw.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Technology 0.3400 πŸ“Š 🧲
Business, Companies 0.3300 πŸ“Š 🧲
Entertainment 0.1400 πŸ“Š 🧲
Civil Unrest, Conflict 0.0700 πŸ“Š 🧲
Environment, Climate 0.0600 πŸ“Š 🧲
Government 0.0500 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
2026-10-05 09:37:18+00 Science dw.com German and US scientists win Nobel Prize in medicine Analyze Jenipher Camino Gonzalez 😐 neutral 0.2571