Text & Content Analysis

Context: entity (chris morrison)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 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
chris morrison
Window
Last 24h
Articles
1
From
Tue, Sep 29 β€’ 5:37 PM EDT
To
Tue, Sep 29 β€’ 5:37 PM EDT
Range
Mon, Sep 28 β€’ 9:33 PM EDT β†’ Tue, Sep 29 β€’ 9:33 PM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
kshb.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.4800 πŸ“Š 🧲
Business, Companies 0.2300 πŸ“Š 🧲
Technology 0.2000 πŸ“Š 🧲
Political Theatre 0.0900 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-29 21:37:07+00 Politics kshb.com 3 tips to slow unsolicited political texts to your cell phone ahead of the Nov. 3 election Analyze Charlie Keegan 😐 neutral 0.084