Text & Content Analysis

Context: entity (electoral commission)  |  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
electoral commission
Window
Last 7 days
Articles
2
From
Sat, Sep 19 β€’ 12:00 PM EDT
To
Wed, Sep 23 β€’ 8:46 AM EDT
Range
Wed, Sep 16 β€’ 10:48 AM EDT β†’ Wed, Sep 23 β€’ 10:48 AM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
theconversation.com 1 50.00 πŸ“Š πŸ“° 🧲
theguardian.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.0700 πŸ“Š 🧲
Political Theatre 0.4300 πŸ“Š 🧲
Business, Companies 0.2100 πŸ“Š 🧲
Civil Unrest, Conflict 0.2100 πŸ“Š 🧲
Food and Beverage 0.0500 πŸ“Š 🧲
Environment, Climate 0.0200 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
2026-09-23 12:46:16+00 Politics theconversation.com 2 midterm elections that brought on new eras in US politics Analyze Robert A. Strong 😐 neutral 0.1169
2026-09-19 16:00:50+00 Politics theguardian.com UK politics increasingly funded by billionaires as mega-donations surge Analyze Rowena Mason 😐 neutral 0.1529