Text & Content Analysis

Context: entity (austria)  |  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
austria
Window
Last 30 days
Articles
2
From
2026-03-18 08:15:00+00
To
2026-03-25 13:46:03+00
Range
2026-02-27 00:59:23.712346+00 β†’ 2026-03-29 00:59:23.712346+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
grist.org 1 50.00 πŸ“Š πŸ“° 🧲
sports.yahoo.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 1.1100 πŸ“Š 🧲
Business, Companies 0.3400 πŸ“Š 🧲
Civil Unrest, Conflict 0.2100 πŸ“Š 🧲
Government 0.2000 πŸ“Š 🧲
Technology 0.1000 πŸ“Š 🧲
Entertainment 0.0400 πŸ“Š 🧲
Health 0.0200 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
2026-03-25 13:46:03+00 Sports sports.yahoo.com How To Watch The F1 Japanese Grand Prix Analyze Yara Elshebiny, Contributor 😐 neutral 0.1392
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