Text & Content Analysis

Context: entity (voter)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 4 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
voter
Window
Last 30 days
Articles
4
From
2026-08-22 14:00:00+00
To
2026-09-13 15:25:00+00
Range
2026-08-20 11:28:57.721017+00 β†’ 2026-09-19 11:28:57.721017+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 2.4500 πŸ“Š 🧲
Business, Companies 0.4500 πŸ“Š 🧲
Political Theatre 0.4000 πŸ“Š 🧲
Civil Unrest, Conflict 0.2200 πŸ“Š 🧲
Environment, Climate 0.1700 πŸ“Š 🧲
Food and Beverage 0.1100 πŸ“Š 🧲
Entertainment 0.1100 πŸ“Š 🧲
Friends and Family 0.0400 πŸ“Š 🧲
Other 0.0500 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 4 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-13 15:25:00+00 Politics kcra.com Prop 39 would make California the 37th state to require voter ID Analyze Ashley Zavala 😐 neutral 0.0957
2026-09-12 11:49:16+00 Politics derspiegel.substack.com Germany’s Political Tailspin: Your Weekly SPIEGEL Recap Analyze DER SPIEGEL,Charles Hawley 😐 neutral 0.0744
2026-08-28 21:00:00+00 Politics nbcnews.com Elon Musk enters the midterm chat: From the Politics Desk Analyze The Politics Desk 😐 neutral 0.1219
2026-08-22 14:00:00+00 Politics wfae.org Political parties see high stakes in NC Supreme Court election Analyze Sarah Michels | Carolina Public Press 😐 neutral 0.0578