Text & Content Analysis

Context: entity (starbucks)  |  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
starbucks
Window
Last 7 days
Articles
2
From
2026-04-18 09:00:55+00
To
2026-04-19 21:35:30+00
Range
2026-04-14 09:46:30.025652+00 β†’ 2026-04-21 09:46:30.025652+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.8300 πŸ“Š 🧲
Technology 0.2800 πŸ“Š 🧲
Environment, Climate 0.2300 πŸ“Š 🧲
Business, Companies 0.2300 πŸ“Š 🧲
Political Theatre 0.1900 πŸ“Š 🧲
Health 0.1100 πŸ“Š 🧲
Civil Unrest, Conflict 0.1100 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
2026-04-19 21:35:30+00 Health livenowfox.com AI shaping our health care decisions, even whether we go to the doctor Analyze Nick Viviani 😐 neutral 0.0506
2026-04-18 09:00:55+00 Politics cnn.com High gas prices become another midterm warning sign for Republicans Analyze Arit John 😐 neutral 0.0639