Text & Content Analysis

Context: entity (june 9 boston)  |  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
june 9 boston
Window
Last 7 days
Articles
2
From
2026-03-20 17:39:06+00
To
2026-03-22 06:20:43+00
Range
2026-03-19 20:25:03.650956+00 β†’ 2026-03-26 20:25:03.650956+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
techcrunch.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.0200 πŸ“Š 🧲
Government 0.4600 πŸ“Š 🧲
Technology 0.4000 πŸ“Š 🧲
Environment, Climate 0.1200 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
2026-03-22 06:20:43+00 Business techcrunch.com Are AI tokens the new signing bonus or just a cost of doing business? Analyze Connie Loizos 😐 neutral 0.1378
2026-03-20 17:39:06+00 Science techcrunch.com Why scientists can't get a laugh Analyze Connie Loizos 😐 neutral 0.114