Text & Content Analysis

Context: entity (michael erman)  |  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
michael erman
Window
Last 30 days
Articles
1
From
2026-03-20 02:34:16+00
To
2026-03-20 02:34:16+00
Range
2026-02-24 13:41:38.28253+00 β†’ 2026-03-26 13:41:38.28253+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
Government 0.4000 πŸ“Š 🧲
Health 0.3000 πŸ“Š 🧲
Political Theatre 0.1300 πŸ“Š 🧲
Civil Unrest, Conflict 0.0900 πŸ“Š 🧲
Business, Companies 0.0700 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
2026-03-20 02:34:16+00 Health detroitnews.com US Health Department official signals progress on selecting new CDC head Analyze Michael Erman and Leah Douglas 😐 neutral 0.1724