Text & Content Analysis

Context: entity (wikipedia a)  |  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
wikipedia a
Window
Last 7 days
Articles
1
From
2026-08-08 14:15:00+00
To
2026-08-08 14:15:00+00
Range
2026-08-02 16:45:51.35254+00 β†’ 2026-08-09 16:45:51.35254+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.5500 πŸ“Š 🧲
Government 0.1800 πŸ“Š 🧲
Business, Companies 0.1600 πŸ“Š 🧲
Technology 0.0700 πŸ“Š 🧲
Friends and Family 0.0300 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
2026-08-08 14:15:00+00 Science forbes.com New Science Maps Asia’s Shark And Ray Hotspots And Exposes Major Conservation Gaps Analyze Melissa Cristina MΓ‘rquez 😐 neutral 0.1542