Text & Content Analysis

Context: pub (wbez.org)  |  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

Publisher
wbez.org
Window
Last 30 days
Articles
2
From
2026-09-10 20:47:13+00
To
2026-09-12 10:35:00+00
Range
2026-08-14 01:18:56.357497+00 β†’ 2026-09-13 01:18:56.357497+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.8900 πŸ“Š 🧲
Government 0.5900 πŸ“Š 🧲
Business, Companies 0.4600 πŸ“Š 🧲
Environment, Climate 0.0300 πŸ“Š 🧲
Entertainment 0.0100 πŸ“Š 🧲
Food and Beverage 0.0100 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
2026-09-12 10:35:00+00 Business wbez.org Here's how some Chicago small businesses are ramping up their use of AI Analyze https://chicago.suntimes.com/authors/amy-yee 😐 neutral 0.1135
2026-09-10 20:47:13+00 Health wbez.org How does your job protect your health? Analyze WBEZ 😐 neutral 0.0578