Text & Content Analysis

Context: entity (michael cragg)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
michael cragg
Window
Last 30 days
Articles
3
From
Sat, Aug 29 β€’ 1:00 AM EDT
To
Sat, Sep 19 β€’ 1:00 AM EDT
Range
Fri, Aug 21 β€’ 11:03 AM EDT β†’ Sun, Sep 20 β€’ 11:03 AM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
theguardian.com 3 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.7300 πŸ“Š 🧲
Entertainment 0.7600 πŸ“Š 🧲
Environment, Climate 0.2700 πŸ“Š 🧲
Friends and Family 0.1300 πŸ“Š 🧲
Civil Unrest, Conflict 0.0300 πŸ“Š 🧲
Technology 0.0300 πŸ“Š 🧲
Food and Beverage 0.0200 πŸ“Š 🧲
Government 0.0100 πŸ“Š 🧲
Other 0.0100 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-19 05:00:38+00 Entertainment theguardian.com From Shaun the Sheep to The Split Up: your complete entertainment guide to the week ahead Analyze Guardian staff reporter 😐 neutral 0.0803
2026-09-12 05:00:29+00 Entertainment theguardian.com From Practical Magic 2 to Saturday Night Live UK: your complete entertainment guide to the week ahead Analyze Guardian staff reporter 😐 neutral 0.1216
2026-08-29 05:00:19+00 Entertainment theguardian.com From The Dog Stars to Erykah Badu: your complete entertainment guide to the week ahead Analyze Guardian staff reporter 😐 neutral 0.1194