Text & Content Analysis

Context: entity (share x linkedin facebook)  |  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
share x linkedin facebook
Window
Last 30 days
Articles
1
From
Sun, Oct 4 β€’ 8:48 PM EDT
To
Sun, Oct 4 β€’ 8:48 PM EDT
Range
Sat, Sep 5 β€’ 2:47 AM EDT β†’ Mon, Oct 5 β€’ 2:47 AM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.2600 πŸ“Š 🧲
Government 0.2100 πŸ“Š 🧲
Technology 0.1500 πŸ“Š 🧲
Political Theatre 0.1500 πŸ“Š 🧲
Civil Unrest, Conflict 0.1400 πŸ“Š 🧲
Environment, Climate 0.0500 πŸ“Š 🧲
Entertainment 0.0300 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
2026-10-05 00:48:36+00 Politics afp.com Lula, Brazil's political titan, races against time Analyze @AFPFR 😐 neutral 0.08