Text & Content Analysis

Context: entity (becca ripley)  |  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
becca ripley
Window
Last 30 days
Articles
1
From
Mon, Sep 28 β€’ 11:50 AM EDT
To
Mon, Sep 28 β€’ 11:50 AM EDT
Range
Sat, Aug 29 β€’ 10:04 PM EDT β†’ Mon, Sep 28 β€’ 10:04 PM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.9000 πŸ“Š 🧲
Environment, Climate 0.0400 πŸ“Š 🧲
Political Theatre 0.0400 πŸ“Š 🧲
Civil Unrest, Conflict 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
2026-09-28 15:50:15+00 Politics wsmv.com House District 61 tests whether winds of political change are blowing in Williamson County Analyze Stacey Cameron,Kassidy Brown 😐 neutral 0.0953