Text & Content Analysis

Context: pub (brookings.edu)  |  Window: 24h · 7d · 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.

Explore by Category
Politics Sports Business Technology Science Health Entertainment

Corpus KPIs

Publisher
brookings.edu
Window
Last 24h
Articles
1
From
Fri, Sep 25 • 8:30 AM EDT
To
Fri, Sep 25 • 8:30 AM EDT
Range
Thu, Sep 24 • 4:03 PM EDT → Fri, Sep 25 • 4:03 PM EDT
Who’s being talked about

Top Entities

Entity Label Mentions Actions
order ORG 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
brookings.edu 1 100.00 📊 📰 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Entertainment 0.8500 📊 🧲
Civil Unrest, Conflict 0.0200 📊 🧲
Environment, Climate 0.0200 📊 🧲
Food and Beverage 0.0200 📊 🧲
Government 0.0200 📊 🧲
Business, Companies 0.0200 📊 🧲
Friends and Family 0.0200 📊 🧲
Health 0.0200 📊 🧲
Other 0.0400 —
How it feels

Sentiment

Label Articles Actions
🙂 Positive 1 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-25 12:30:31+00 Politics brookings.edu Three state elections throw German politics into disarray Analyze Mathilda Silbiger, Constanze Stelzenmüller 🙂 positive 0.5