Text & Content Analysis

Context: entity (edt voters)  |  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
edt voters
Window
Last 30 days
Articles
1
From
2026-06-02 10:10:52+00
To
2026-06-02 10:10:52+00
Range
2026-05-17 21:34:41.642104+00 β†’ 2026-06-16 21:34:41.642104+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.5900 πŸ“Š 🧲
Civil Unrest, Conflict 0.2000 πŸ“Š 🧲
Political Theatre 0.1200 πŸ“Š 🧲
Business, Companies 0.0700 πŸ“Š 🧲
Entertainment 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
2026-06-02 10:10:52+00 Politics theguardian.com Californians head to the polls as governor primary goes down to the wire Analyze https://www.theguardian.com/profile/tom-ambrose 😐 neutral 0.1166