Text & Content Analysis

Context: entity (brexit)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 4 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 30 days
Articles
4
From
2026-07-03 13:35:58+00
To
2026-07-11 05:00:43+00
Range
2026-06-28 18:20:11.53351+00 β†’ 2026-07-28 18:20:11.53351+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.4600 πŸ“Š 🧲
Civil Unrest, Conflict 0.9800 πŸ“Š 🧲
Political Theatre 0.7200 πŸ“Š 🧲
Government 0.6000 πŸ“Š 🧲
Environment, Climate 0.0800 πŸ“Š 🧲
Friends and Family 0.0600 πŸ“Š 🧲
Technology 0.0400 πŸ“Š 🧲
Entertainment 0.0300 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 4 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-07-11 05:00:43+00 Politics theguardian.com β€˜He goes a bit funny if you use his real name’: the unstoppable rise of Count Binface Analyze Daniel Boffey 😐 neutral 0.1098
2026-07-11 04:00:26+00 Politics cnn.com Populist politicians on the right and left take a page out of Donald Trump’s playbook Analyze Stephen Collinson 😐 neutral 0.0804
2026-07-05 14:24:28+00 Politics theguardian.com Trump’s $2bn bonanza heralds the rise of political grifters across the west Analyze Tom Burgis 😐 neutral 0.1191
2026-07-03 13:35:58+00 Politics theconversation.com The politics of feeling: why did β€˜boring’ prime minister Keir Starmer provoke such visceral reactions? Analyze Ben Anderson 😐 neutral 0.0263