Text & Content Analysis

Context: entity (helen coster)  |  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
helen coster
Window
Last 30 days
Articles
1
From
2026-02-17 13:26:33+00
To
2026-02-17 13:26:33+00
Range
2026-02-16 21:44:13.789592+00 β†’ 2026-03-18 21:44:13.789592+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 0.5100 πŸ“Š 🧲
Civil Unrest, Conflict 0.2400 πŸ“Š 🧲
Friends and Family 0.1300 πŸ“Š 🧲
Political Theatre 0.0800 πŸ“Š 🧲
Entertainment 0.0200 πŸ“Š 🧲
Business, Companies 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
2026-02-17 13:26:33+00 Politics detroitnews.com How some Democrats are using scripture to try to reach Christian voters in U.S. midterms Analyze Helen Coster and Joseph Ax, The Detroit News 😐 neutral 0.0475