Text & Content Analysis

Context: entity (great britain)  |  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
great britain
Window
Last 30 days
Articles
2
From
Sat, Sep 19 β€’ 1:43 PM EDT
To
Mon, Sep 21 β€’ 8:39 AM EDT
Range
Sat, Aug 22 β€’ 2:25 PM EDT β†’ Mon, Sep 21 β€’ 2:25 PM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.7700 πŸ“Š 🧲
Environment, Climate 0.6900 πŸ“Š 🧲
Business, Companies 0.1500 πŸ“Š 🧲
Government 0.1200 πŸ“Š 🧲
Political Theatre 0.1100 πŸ“Š 🧲
Civil Unrest, Conflict 0.0700 πŸ“Š 🧲
Entertainment 0.0600 πŸ“Š 🧲
Health 0.0200 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
2026-09-21 12:39:25+00 Health theconversation.com Noise pollution is a serious but often forgotten public health problem Analyze Laura Coco 😐 neutral 0.1161
2026-09-19 17:43:42+00 Business detroitnews.com Great Lakes bind U.S., Canada trade imperiled by Trump tariffs Analyze Brendan Murray 😐 neutral 0.1218