Text & Content Analysis

Context: entity (politics africa)  |  Window: 24h · 7d · 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.

Explore by Category
Politics Sports Business Technology Science Health Entertainment

Corpus KPIs

Entity
politics africa
Window
Last 30 days
Articles
1
From
2026-06-15 08:07:55+00
To
2026-06-15 08:07:55+00
Range
2026-05-17 20:50:28.118129+00 → 2026-06-16 20:50:28.118129+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
advertisement young PERSON 1 📊 🔍 🧲
africa LOC 1 📊 🔍 🧲
african NORP 1 📊 🔍 🧲
africans NORP 1 📊 🔍 🧲
html5 PERSON 1 📊 🔍 🧲
javascript PRODUCT 1 📊 🔍 🧲
politics africa LOC 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
dw.com 1 100.00 📊 📰 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Friends and Family 0.4700 📊 🧲
Business, Companies 0.3500 📊 🧲
Government 0.1100 📊 🧲
Political Theatre 0.0600 📊 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-06-15 08:07:55+00 Politics dw.com Not lost in frustration: African youth in politics Analyze dw.com 😐 neutral 0.1496