Text & Content Analysis

Context: entity (a few hundred)  |  Window: 24h Β· 7d Β· 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.

Corpus KPIs

Entity
a few hundred
Window
Last 30 days
Articles
1
From
2026-06-16 04:31:48+00
To
2026-06-16 04:31:48+00
Range
2026-05-17 15:04:27.210309+00 β†’ 2026-06-16 15:04:27.210309+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
bbc.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.4200 πŸ“Š 🧲
Business, Companies 0.3200 πŸ“Š 🧲
Environment, Climate 0.1800 πŸ“Š 🧲
Political Theatre 0.0200 πŸ“Š 🧲
Friends and Family 0.0200 πŸ“Š 🧲
Entertainment 0.0200 πŸ“Š 🧲
Food and Beverage 0.0100 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-06-16 04:31:48+00 Politics bbc.com World Cup 2026: Iran v Iran in the stands as politics and football intertwine Analyze https://www.facebook.com/BBCSport/ 😐 neutral 0.088