Text & Content Analysis

Context: entity (cern)  |  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
cern
Window
Last 30 days
Articles
2
From
2026-06-02 08:41:43+00
To
2026-06-10 05:00:12+00
Range
2026-05-16 09:27:41.826783+00 β†’ 2026-06-15 09:27:41.826783+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.6000 πŸ“Š 🧲
Technology 0.4600 πŸ“Š 🧲
Government 0.4600 πŸ“Š 🧲
Business, Companies 0.3000 πŸ“Š 🧲
Health 0.0700 πŸ“Š 🧲
Civil Unrest, Conflict 0.0700 πŸ“Š 🧲
Friends and Family 0.0300 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
2026-06-10 05:00:12+00 Science theguardian.com World-leading UK science facilities at risk amid £162m funding crisis Analyze Ian Sample 😐 neutral 0.0894
2026-06-02 08:41:43+00 Science cerncourier.com Big Science and industry meet in Copenhagen Analyze cern 😐 neutral 0.0807