Text & Content Analysis

Context: entity (mike elko)  |  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
mike elko
Window
Last 30 days
Articles
1
From
2026-05-15 09:13:28+00
To
2026-05-15 09:13:28+00
Range
2026-04-16 06:31:39.348516+00 β†’ 2026-05-16 06:31:39.348516+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
usatoday.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.5100 πŸ“Š 🧲
Environment, Climate 0.2000 πŸ“Š 🧲
Government 0.1900 πŸ“Š 🧲
Civil Unrest, Conflict 0.0600 πŸ“Š 🧲
Technology 0.0300 πŸ“Š 🧲
Friends and Family 0.0200 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
2026-05-15 09:13:28+00 Sports usatoday.com Notre Dame says jump. ACC asks how high. Inside college football's most dysfunctional relationship Analyze Matt Hayes 😐 neutral 0.0258