Text & Content Analysis

Context: entity (share w)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
share w
Window
Last 30 days
Articles
3
From
2026-04-02 04:00:18+00
To
2026-04-19 13:00:43+00
Range
2026-03-21 05:05:11.40318+00 β†’ 2026-04-20 05:05:11.40318+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
theguardian.com 3 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.8100 πŸ“Š 🧲
Business, Companies 0.7800 πŸ“Š 🧲
Environment, Climate 0.2800 πŸ“Š 🧲
Technology 0.2700 πŸ“Š 🧲
Civil Unrest, Conflict 0.2500 πŸ“Š 🧲
Political Theatre 0.2400 πŸ“Š 🧲
Friends and Family 0.1800 πŸ“Š 🧲
Food and Beverage 0.0800 πŸ“Š 🧲
Other 0.0800 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-04-19 13:00:43+00 Health theguardian.com Are you a woman who makes life easier for everyone else? Beware – you could endanger your health Analyze Emma Beddington 😐 neutral 0.1471
2026-04-12 16:42:51+00 Politics theguardian.com The Guardian view on AI politics: US datacentre protests are a warning to big tech Analyze Editorial 😐 neutral -0.0014
2026-04-02 04:00:18+00 Politics theguardian.com Denmark’s unique political model is in crisis – I blame the boomerang effect Analyze Rune Lykkeberg 😐 neutral 0.0786