Text & Content Analysis

Context: entity (kash patel)  |  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
kash patel
Window
Last 30 days
Articles
2
From
Thu, Sep 3 β€’ 6:45 PM EDT
To
Thu, Sep 24 β€’ 6:26 AM EDT
Range
Tue, Aug 25 β€’ 8:27 PM EDT β†’ Thu, Sep 24 β€’ 8:27 PM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 1.0400 πŸ“Š 🧲
Environment, Climate 0.2600 πŸ“Š 🧲
Technology 0.2300 πŸ“Š 🧲
Business, Companies 0.1800 πŸ“Š 🧲
Political Theatre 0.1600 πŸ“Š 🧲
Civil Unrest, Conflict 0.1200 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
2026-09-24 10:26:45+00 Politics lancasteronline.com Autonomous AI hacks raise thorny questions of legal accountability Analyze ERIC TUCKER - Associated Press 😐 neutral 0.0609
2026-09-03 22:45:40+00 Politics cnn.com Trump administration plows ahead with groundbreaking for the president’s β€˜triumphal arch’ Analyze Sunlen Serfaty,Tierney Sneed 😐 neutral 0.0587