Trends

Context: entity (kxly channel 4)  |  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
kxly channel 4
Window
Last 30 days
Articles
1
From
Tue, Oct 13 β€’ 12:12 AM EDT
To
Tue, Oct 13 β€’ 12:12 AM EDT
Range
Sun, Sep 13 β€’ 7:52 AM EDT β†’ Tue, Oct 13 β€’ 7:52 AM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.5800 πŸ“Š 🧲
Health 0.1200 πŸ“Š 🧲
Entertainment 0.1000 πŸ“Š 🧲
Technology 0.0900 πŸ“Š 🧲
Friends and Family 0.0800 πŸ“Š 🧲
Government 0.0200 πŸ“Š 🧲
Food and Beverage 0.0200 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
2026-10-13 04:12:31+00 Science kpq.com A Former Seattle TV Anchor Had No Idea Anyone Would Listen to His Podcast. Now 100 Countries Do. Analyze Connor 😐 neutral 0.184