Text & Content Analysis

Context: entity (channel 4 news subscribe)  |  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
channel 4 news subscribe
Window
Last 24h
Articles
1
From
2026-07-27 07:01:58+00
To
2026-07-27 07:01:58+00
Range
2026-07-26 13:22:16.13506+00 β†’ 2026-07-27 13:22:16.13506+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
channel4news.substack.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.3700 πŸ“Š 🧲
Business, Companies 0.3200 πŸ“Š 🧲
Civil Unrest, Conflict 0.2100 πŸ“Š 🧲
Friends and Family 0.0400 πŸ“Š 🧲
Entertainment 0.0300 πŸ“Š 🧲
Political Theatre 0.0300 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
2026-07-27 07:01:58+00 Politics channel4news.substack.com What England's local councils tell us about fragmenting politics Analyze Andrew Misra 😐 neutral 0.1011