Text & Content Analysis

Context: entity (kasie hunt)  |  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
kasie hunt
Window
Last 30 days
Articles
2
From
2026-03-13 04:00:35+00
To
2026-04-09 04:00:55+00
Range
2026-03-10 15:02:06.051785+00 β†’ 2026-04-09 15:02:06.051785+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.8900 πŸ“Š 🧲
Political Theatre 0.4300 πŸ“Š 🧲
Business, Companies 0.2400 πŸ“Š 🧲
Government 0.2200 πŸ“Š 🧲
Environment, Climate 0.1300 πŸ“Š 🧲
Health 0.0300 πŸ“Š 🧲
Technology 0.0200 πŸ“Š 🧲
Food and Beverage 0.0100 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
2026-04-09 04:00:55+00 Politics cnn.com A teetering ceasefire bodes ill for treacherous US-Iran talks ahead Analyze Stephen Collinson 😐 neutral 0.0754
2026-03-13 04:00:35+00 Politics cnn.com Seven reasons why Trump hasn’t won the Iran war Analyze Stephen Collinson 😐 neutral 0.0455