Text & Content Analysis

Context: entity (270 million)  |  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
270 million
Window
Last 30 days
Articles
2
From
2026-05-29 21:30:00+00
To
2026-06-05 02:44:34+00
Range
2026-05-15 08:24:25.171976+00 β†’ 2026-06-14 08:24:25.171976+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
ctmirror.org 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
Government 0.6400 πŸ“Š 🧲
Environment, Climate 0.4500 πŸ“Š 🧲
Food and Beverage 0.2900 πŸ“Š 🧲
Business, Companies 0.2900 πŸ“Š 🧲
Technology 0.1200 πŸ“Š 🧲
Civil Unrest, Conflict 0.0800 πŸ“Š 🧲
Friends and Family 0.0700 πŸ“Š 🧲
Entertainment 0.0600 πŸ“Š 🧲
Other 0.0400 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
2026-05-29 21:30:00+00 Politics ctmirror.org The electric grid, homeschool and a food business incubator: CT politics news Analyze CT Mirror Staff 😐 neutral 0.1339