Text & Content Analysis

Context: entity (rhun)  |  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
rhun
Window
Last 30 days
Articles
2
From
2026-03-09 22:50:07+00
To
2026-04-07 05:00:40+00
Range
2026-03-08 17:33:04.147673+00 β†’ 2026-04-07 17:33:04.147673+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
bbc.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
Civil Unrest, Conflict 0.7100 πŸ“Š 🧲
Business, Companies 0.5600 πŸ“Š 🧲
Government 0.3000 πŸ“Š 🧲
Political Theatre 0.1800 πŸ“Š 🧲
Technology 0.1100 πŸ“Š 🧲
Environment, Climate 0.0700 πŸ“Š 🧲
Food and Beverage 0.0400 πŸ“Š 🧲
Friends and Family 0.0200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
☹️ Negative 1 πŸ“Š 🧲
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-04-07 05:00:40+00 Politics theguardian.com β€˜Seismic change’: how election wins for nationalists in Celtic nations could reshape UK Analyze Bethan McKernan,Severin Carrell 😐 neutral 0.0955
2026-03-09 22:50:07+00 Politics bbc.com Meta removes UK politics deepfake pages after BBC investigation Analyze bbc.com ☹️ negative -0.022