Text & Content Analysis

Context: entity (revolutionarer 1)  |  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
revolutionarer 1
Window
Last 30 days
Articles
1
From
2026-07-16 08:00:26+00
To
2026-07-16 08:00:26+00
Range
2026-06-30 15:33:44.448514+00 β†’ 2026-07-30 15:33:44.448514+00
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
Civil Unrest, Conflict 0.6200 πŸ“Š 🧲
Government 0.1700 πŸ“Š 🧲
Political Theatre 0.1100 πŸ“Š 🧲
Business, Companies 0.0800 πŸ“Š 🧲
Health 0.0100 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
2026-07-16 08:00:26+00 Politics cnn.com Rubio to convene meeting on β€˜far-left political terrorism’ with representatives from 65 countries Analyze Jennifer Hansler 😐 neutral -0.0169