Text & Content Analysis

Context: entity (490 million)  |  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
490 million
Window
Last 7 days
Articles
1
From
2026-07-23 10:47:20+00
To
2026-07-23 10:47:20+00
Range
2026-07-22 10:56:50.204481+00 → 2026-07-29 10:56:50.204481+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
1 billion MONEY 1 📊 🔍 🧲
430 million MONEY 1 📊 🔍 🧲
460 million MONEY 1 📊 🔍 🧲
490 million MONEY 1 📊 🔍 🧲
5247 million MONEY 1 📊 🔍 🧲
890 million MONEY 1 📊 🔍 🧲
eu ORG 1 📊 🔍 🧲
european NORP 1 📊 🔍 🧲
european union see ORG 1 📊 🔍 🧲
facebook tweet email link threads link copied WORK_OF_ART 1 📊 🔍 🧲
follow london PERSON 1 📊 🔍 🧲
google ORG 1 📊 🔍 🧲
google search ORG 1 📊 🔍 🧲
henna virkkunen PERSON 1 📊 🔍 🧲
the european commission ORG 1 📊 🔍 🧲
the european union ORG 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.5000 📊 🧲
Civil Unrest, Conflict 0.2100 📊 🧲
Government 0.1900 📊 🧲
Business, Companies 0.1000 📊 🧲
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
2026-07-23 10:47:20+00 Business cnn.com Europe fines Google $1 billion for ‘harming’ online rivals Analyze Hanna Ziady 😐 neutral 0.0281