Text & Content Analysis

Context: entity (ford europe)  |  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
ford europe
Window
Last 30 days
Articles
1
From
2026-05-18 15:50:10+00
To
2026-05-18 15:50:10+00
Range
2026-05-12 18:44:13.495435+00 β†’ 2026-06-11 18:44:13.495435+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.4500 πŸ“Š 🧲
Government 0.2900 πŸ“Š 🧲
Technology 0.2200 πŸ“Š 🧲
Entertainment 0.0300 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
2026-05-18 15:50:10+00 Business detroitnews.com Ford Europe plans five new vehicles to turn around passenger business Analyze Breana Noble 😐 neutral 0.1573