Text & Content Analysis

Context: entity (rapid city)  |  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
rapid city
Window
Last 30 days
Articles
2
From
2026-07-25 12:00:12+00
To
2026-08-06 22:54:34+00
Range
2026-07-08 18:28:20.233281+00 β†’ 2026-08-07 18:28:20.233281+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 1 50.00 πŸ“Š πŸ“° 🧲
sports.yahoo.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.4400 πŸ“Š 🧲
Business, Companies 0.3900 πŸ“Š 🧲
Government 0.3500 πŸ“Š 🧲
Civil Unrest, Conflict 0.2900 πŸ“Š 🧲
Technology 0.2600 πŸ“Š 🧲
Political Theatre 0.1900 πŸ“Š 🧲
Health 0.0600 πŸ“Š 🧲
Entertainment 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
2026-08-06 22:54:34+00 Politics cnn.com Why US water systems are vulnerable to foreign cyberattacks Analyze Sean Lyngaas 😐 neutral 0.0679
2026-07-25 12:00:12+00 Sports sports.yahoo.com CBS affiliate changes impact NFL fans in multiple markets Analyze Manny Soloway 😐 neutral 0.0503