Text & Content Analysis

Context: entity (durham university)  |  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
durham university
Window
Last 30 days
Articles
2
From
2026-06-17 04:00:09+00
To
2026-07-03 13:35:58+00
Range
2026-06-03 23:15:12.272434+00 β†’ 2026-07-03 23:15:12.272434+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
scmp.com 1 50.00 πŸ“Š πŸ“° 🧲
theconversation.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.5100 πŸ“Š 🧲
Business, Companies 0.4800 πŸ“Š 🧲
Technology 0.3200 πŸ“Š 🧲
Civil Unrest, Conflict 0.2600 πŸ“Š 🧲
Government 0.2300 πŸ“Š 🧲
Political Theatre 0.1100 πŸ“Š 🧲
Entertainment 0.0900 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
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
2026-06-17 04:00:09+00 Science scmp.com China study finds subsea cable-wrecking super currents more common than realised Analyze South China Morning Post 😐 neutral 0.116