Text & Content Analysis

Context: entity (azzurra spagnesi)  |  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
azzurra spagnesi
Window
Last 30 days
Articles
1
From
2026-03-18 08:15:00+00
To
2026-03-18 08:15:00+00
Range
2026-02-16 16:58:05.069381+00 β†’ 2026-03-18 16:58:05.069381+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
alps LOC 1 πŸ“Š πŸ” 🧲
andrea fischer PERSON 1 πŸ“Š πŸ” 🧲
antarctica LOC 1 πŸ“Š πŸ” 🧲
austria GPE 1 πŸ“Š πŸ” 🧲
azzurra spagnesi PERSON 1 πŸ“Š πŸ” 🧲
earth LOC 1 πŸ“Š πŸ” 🧲
europe LOC 1 πŸ“Š πŸ” 🧲
greenland GPE 1 πŸ“Š πŸ” 🧲
grist ORG 1 πŸ“Š πŸ” 🧲
italy GPE 1 πŸ“Š πŸ” 🧲
linkedin bluesky PERSON 1 πŸ“Š πŸ” 🧲
matt simon PERSON 1 πŸ“Š πŸ” 🧲
natalie donback health PERSON 1 πŸ“Š πŸ” 🧲
paul bierman PERSON 1 πŸ“Š πŸ” 🧲
some 30 percent PERCENT 1 πŸ“Š πŸ” 🧲
spagnesi ORG 1 πŸ“Š πŸ” 🧲
swaminathan NORP 1 πŸ“Š πŸ” 🧲
weißseespitze GPE 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
grist.org 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.7400 πŸ“Š 🧲
Business, Companies 0.2000 πŸ“Š 🧲
Government 0.0300 πŸ“Š 🧲
Technology 0.0200 πŸ“Š 🧲
Health 0.0200 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
2026-03-18 08:15:00+00 Science grist.org Scientists race to decode data from Europe’s vanishing glaciers Analyze Matt Simon 😐 neutral 0.0895