Text & Content Analysis

Context: entity (arab)  |  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
arab
Window
Last 30 days
Articles
2
From
2026-06-02 04:01:11+00
To
2026-06-05 02:44:34+00
Range
2026-05-31 12:59:29.658006+00 β†’ 2026-06-30 12:59:29.658006+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.5900 πŸ“Š 🧲
Food and Beverage 0.3900 πŸ“Š 🧲
Business, Companies 0.2300 πŸ“Š 🧲
Political Theatre 0.2100 πŸ“Š 🧲
Environment, Climate 0.2100 πŸ“Š 🧲
Government 0.1900 πŸ“Š 🧲
Technology 0.0800 πŸ“Š 🧲
Entertainment 0.0600 πŸ“Š 🧲
Other 0.0500 β€”
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
2026-06-05 02:44:34+00 Business ynetnews.com The Cold Front: This is how Ben & Jerry's ice cream in Israel defeated BDS Analyze Shoshana Chen 😐 neutral 0.1397
2026-06-02 04:01:11+00 Politics cnn.com Why Lebanon’s unhealed wounds pose a mortal threat to Trump’s Iran dealmaking Analyze Stephen Collinson 😐 neutral -0.0019