Text & Content Analysis

Context: entity (pacific)  |  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
pacific
Window
Last 24h
Articles
2
From
2026-06-17 11:30:43+00
To
2026-06-17 16:32:24+00
Range
2026-06-16 22:27:09.29047+00 β†’ 2026-06-17 22:27:09.29047+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 1 50.00 πŸ“Š πŸ“° 🧲
futura-sciences.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.7200 πŸ“Š 🧲
Political Theatre 0.3100 πŸ“Š 🧲
Technology 0.2900 πŸ“Š 🧲
Business, Companies 0.2400 πŸ“Š 🧲
Government 0.1800 πŸ“Š 🧲
Civil Unrest, Conflict 0.1600 πŸ“Š 🧲
Health 0.0800 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
☹️ Negative 1 πŸ“Š 🧲
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-06-17 16:32:24+00 Politics cnn.com Trump invokes law to increase weapons production after Iran war depleted US stocks Analyze Haley Britzky ☹️ negative -0.0317
2026-06-17 11:30:43+00 Science futura-sciences.com β€œThis has never been seen before”: the mind-blowing discovery made by this deep-sea squid - Futura-Sciences Analyze Futura Team 😐 neutral 0.0723