Text & Content Analysis

Context: entity (copilot)  |  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
copilot
Window
Last 30 days
Articles
2
From
2026-05-17 15:25:42+00
To
2026-06-02 18:30:08+00
Range
2026-05-16 18:34:35.130324+00 β†’ 2026-06-15 18:34:35.130324+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.8700 πŸ“Š 🧲
Technology 0.6200 πŸ“Š 🧲
Government 0.3100 πŸ“Š 🧲
Health 0.1900 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
2026-06-02 18:30:08+00 Health cnn.com People are flooding AI chatbots with health questions. Microsoft is teaming up with Mayo Clinic to help Analyze Clare Duffy 😐 neutral 0.1795
2026-05-17 15:25:42+00 Technology eurogamer.net Xbox is now XBOX, apparently Analyze Vikki Blake 😐 neutral 0.1239