Text & Content Analysis

Context: entity (presbyterian)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
presbyterian
Window
Last 30 days
Articles
3
From
2026-05-27 03:46:13+00
To
2026-06-14 06:42:00+00
Range
2026-05-17 06:58:54.388603+00 β†’ 2026-06-16 06:58:54.388603+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.3000 πŸ“Š 🧲
Business, Companies 0.5300 πŸ“Š 🧲
Political Theatre 0.2500 πŸ“Š 🧲
Friends and Family 0.2200 πŸ“Š 🧲
Technology 0.2200 πŸ“Š 🧲
Health 0.1400 πŸ“Š 🧲
Environment, Climate 0.1000 πŸ“Š 🧲
Civil Unrest, Conflict 0.0800 πŸ“Š 🧲
Other 0.1300 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-06-14 06:42:00+00 Politics arkansasonline.com When religion and politics mix, it’s just a big ol’ mess Analyze John Brummett 😐 neutral 0.0877
2026-06-05 05:45:00+00 Health santafenewmexican.com New Mexico Wellness Wire: Grocery money, abuse reporting and more Health Care Authority news Analyze Margaret O'Hara mohara@sfnewmexican.com 😐 neutral 0.1206
2026-05-27 03:46:13+00 Politics cnn.com Trump completes his month of GOP revenge, and other takeaways from the Texas runoffs Analyze Eric Bradner 😐 neutral 0.0988