Text & Content Analysis

Context: entity (pew research)  |  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
pew research
Window
Last 7 days
Articles
2
From
2026-03-22 12:00:03+00
To
2026-03-22 14:00:23+00
Range
2026-03-16 06:00:29.114932+00 β†’ 2026-03-23 06:00:29.114932+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.8200 πŸ“Š 🧲
Business, Companies 0.7000 πŸ“Š 🧲
Technology 0.2200 πŸ“Š 🧲
Environment, Climate 0.1800 πŸ“Š 🧲
Political Theatre 0.0400 πŸ“Š 🧲
Friends and Family 0.0300 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 14:00:23+00 Business theguardian.com It’s time to take politics out of the Small Business Administration Analyze Gene Marks 😐 neutral 0.0562
2026-03-22 12:00:03+00 Business linkedin.com Gen Z really, really loves China's trains Analyze LinkedInEditors 😐 neutral 0.2054