Text & Content Analysis

Context: entity (welker)  |  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
welker
Window
Last 30 days
Articles
2
From
2026-08-16 20:34:10+00
To
2026-08-30 16:24:50+00
Range
2026-07-31 23:15:57.688858+00 β†’ 2026-08-30 23:15:57.688858+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.8100 πŸ“Š 🧲
Political Theatre 0.4600 πŸ“Š 🧲
Civil Unrest, Conflict 0.3900 πŸ“Š 🧲
Business, Companies 0.3500 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
2026-08-30 16:24:50+00 Politics cnn.com Trump calls for NBC’s Kristen Welker to face β€˜rebuke or punishment’ from the FCC Analyze Brian Stelter,Logan Schiciano 😐 neutral 0.0675
2026-08-16 20:34:10+00 Politics cnn.com Blanche declines to pledge independence from the White House Analyze Michael Williams 😐 neutral 0.0334