Text & Content Analysis

Context: entity (federal agencies see)  |  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
federal agencies see
Window
Last 7 days
Articles
1
From
2026-08-31 19:39:50+00
To
2026-08-31 19:39:50+00
Range
2026-08-26 01:27:25.250437+00 β†’ 2026-09-02 01:27:25.250437+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
amazon ORG 1 πŸ“Š πŸ” 🧲
cnn ORG 1 πŸ“Š πŸ” 🧲
cnn tech ORG 1 πŸ“Š πŸ” 🧲
facebook tweet email link threads link copied WORK_OF_ART 1 πŸ“Š πŸ” 🧲
federal agencies see ORG 1 πŸ“Š πŸ” 🧲
ftc ORG 1 πŸ“Š πŸ” 🧲
new york GPE 1 πŸ“Š πŸ” 🧲
the federal trade commission ORG 1 πŸ“Š πŸ” 🧲
the wall street journal ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.6200 πŸ“Š 🧲
Business, Companies 0.2500 πŸ“Š 🧲
Entertainment 0.1000 πŸ“Š 🧲
Political Theatre 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
2026-08-31 19:39:50+00 Business cnn.com FTC sues Amazon for allegedly overcharging advertisers on its platform Analyze Ramishah Maruf 😐 neutral 0.0574