Text & Content Analysis

Context: entity (wcco)  |  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
wcco
Window
Last 30 days
Articles
2
From
2026-04-15 03:28:52+00
To
2026-04-22 03:35:45+00
Range
2026-03-27 04:16:10.732907+00 β†’ 2026-04-26 04:16:10.732907+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.6100 πŸ“Š 🧲
Business, Companies 0.6000 πŸ“Š 🧲
Food and Beverage 0.4100 πŸ“Š 🧲
Government 0.3400 πŸ“Š 🧲
Environment, Climate 0.0200 πŸ“Š 🧲
Health 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
2026-04-22 03:35:45+00 Health cbsnews.com Not all screen time is created equal, so what are the best and worst types? Analyze Jeff Wagner 😐 neutral 0.0441
2026-04-15 03:28:52+00 Health cbsnews.com Is coffee healthy? The benefits of a cup of joe and when to draw the line Analyze Jeff Wagner 😐 neutral 0.1593