Text & Content Analysis

Context: entity (substack)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 4 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
substack
Window
Last 30 days
Articles
4
From
2026-03-12 22:39:11+00
To
2026-03-24 02:54:06+00
Range
2026-02-26 17:25:14.563664+00 β†’ 2026-03-28 17:25:14.563664+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 2.2500 πŸ“Š 🧲
Government 0.4700 πŸ“Š 🧲
Environment, Climate 0.3700 πŸ“Š 🧲
Food and Beverage 0.2300 πŸ“Š 🧲
Technology 0.2200 πŸ“Š 🧲
Entertainment 0.2200 πŸ“Š 🧲
Health 0.0900 πŸ“Š 🧲
Civil Unrest, Conflict 0.0800 πŸ“Š 🧲
Other 0.0400 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 4 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-24 02:54:06+00 Politics dmwineline.substack.com We disagreed on politics. We agreed on wine. That was enough. Analyze Dave McIntyre 😐 neutral 0.2555
2026-03-22 12:00:03+00 Business linkedin.com Gen Z really, really loves China's trains Analyze LinkedInEditors 😐 neutral 0.2054
2026-03-13 22:02:20+00 Health thedailybeast.com Music Icon, 80, Shares Health Update in Rare Appearance Analyze Owen Mason-Hill 😐 neutral 0.0665
2026-03-12 22:39:11+00 Entertainment theankler.com A Semi-Farewell: My Favorite Ankler Data Dives Analyze Entertainment Strategy Guy 😐 neutral 0.1495