Text & Content Analysis

Context: entity (chinese)  |  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
chinese
Window
Last 24h
Articles
2
From
Sat, Sep 19 β€’ 1:43 PM EDT
To
Sun, Sep 20 β€’ 2:03 AM EDT
Range
Sat, Sep 19 β€’ 4:01 AM EDT β†’ Sun, Sep 20 β€’ 4:01 AM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
detroitnews.com 1 50.00 πŸ“Š πŸ“° 🧲
lufkindailynews.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.8200 πŸ“Š 🧲
Government 0.4600 πŸ“Š 🧲
Business, Companies 0.2400 πŸ“Š 🧲
Technology 0.1900 πŸ“Š 🧲
Political Theatre 0.1300 πŸ“Š 🧲
Civil Unrest, Conflict 0.1200 πŸ“Š 🧲
Food and Beverage 0.0300 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
2026-09-20 06:03:19+00 Business lufkindailynews.com Germany's IW institute triples growth forecast for 2026 Analyze Maria Martinez 😐 neutral 0.1102
2026-09-19 17:43:42+00 Business detroitnews.com Great Lakes bind U.S., Canada trade imperiled by Trump tariffs Analyze Brendan Murray 😐 neutral 0.1218