Text & Content Analysis

Context: entity (brexit)  |  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
brexit
Window
Last 7 days
Articles
3
From
2026-05-08 04:45:40+00
To
2026-05-08 22:38:56+00
Range
2026-05-04 06:26:58.229064+00 β†’ 2026-05-11 06:26:58.229064+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.3100 πŸ“Š 🧲
Business, Companies 0.6000 πŸ“Š 🧲
Civil Unrest, Conflict 0.5800 πŸ“Š 🧲
Political Theatre 0.3300 πŸ“Š 🧲
Environment, Climate 0.1000 πŸ“Š 🧲
Health 0.0400 πŸ“Š 🧲
Entertainment 0.0200 πŸ“Š 🧲
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
2026-05-08 22:38:56+00 Politics newyorker.com The Chaotic New Era of British Politics Analyze Isaac Chotiner 😐 neutral 0.09
2026-05-08 08:13:17+00 Politics bbc.com John Curtice: Election results show politics in the UK has fragmented Analyze bbc.com 😐 neutral 0.1105
2026-05-08 04:45:40+00 Politics theconversation.com English local elections 2026: a story of a new kind of politics Analyze Stephen Coleman 😐 neutral 0.0321