Text & Content Analysis

Context: entity (nissan)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 2 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
nissan
Window
Last 30 days
Articles
2
From
Sun, Aug 30 β€’ 9:00 AM EDT
To
Tue, Sep 1 β€’ 7:00 AM EDT
Range
Tue, Aug 25 β€’ 7:22 PM EDT β†’ Thu, Sep 24 β€’ 7:22 PM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 1 50.00 πŸ“Š πŸ“° 🧲
fintechbusinessweekly.substack.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.0500 πŸ“Š 🧲
Technology 0.5700 πŸ“Š 🧲
Business, Companies 0.2300 πŸ“Š 🧲
Environment, Climate 0.1500 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-01 11:00:30+00 Business cnn.com Inexpensive new cars are becoming tougher and tougher to find Analyze Chris Isidore 😐 neutral 0.0942
2026-08-30 13:00:47+00 Business fintechbusinessweekly.substack.com Colorado Sues EarnIn For β€œImmoral, Unethical, Oppressive and Unscrupulous” Business Practices Analyze Jason Mikula 😐 neutral 0.0647