Text & Content Analysis

Context: entity (nobel)  |  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
nobel
Window
Last 30 days
Articles
3
From
2026-04-28 10:20:35+00
To
2026-05-10 21:00:08+00
Range
2026-04-14 10:04:59.00928+00 β†’ 2026-05-14 10:04:59.00928+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
theguardian.com 2 66.67 πŸ“Š πŸ“° 🧲
news.ucr.edu 1 33.33 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.0100 πŸ“Š 🧲
Environment, Climate 0.5500 πŸ“Š 🧲
Technology 0.4000 πŸ“Š 🧲
Government 0.3900 πŸ“Š 🧲
Friends and Family 0.2800 πŸ“Š 🧲
Civil Unrest, Conflict 0.2000 πŸ“Š 🧲
Health 0.0700 πŸ“Š 🧲
Political Theatre 0.0600 πŸ“Š 🧲
Other 0.0400 β€”
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
2026-05-10 21:00:08+00 Politics theguardian.com Iranian politician’s Australian links revealed; how One Nation won in Farrer; the mystery of β€˜gaping’ whales Analyze Paul Gallagher 😐 neutral 0.1138
2026-05-08 23:49:34+00 Science news.ucr.edu The National Science Board purge, explained Analyze Jules Bernstein 😐 neutral 0.1574
2026-04-28 10:20:35+00 Science theguardian.com If it feels like the world is rejecting science and truth, here are five ways to fight back Analyze Helen Pearson 😐 neutral 0.1359