Text & Content Analysis

Context: entity (peter)  |  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
peter
Window
Last 7 days
Articles
2
From
2026-06-18 19:35:26+00
To
2026-06-21 11:19:10+00
Range
2026-06-18 19:05:34.182581+00 β†’ 2026-06-25 19:05:34.182581+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
calmatters.org 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 0.9400 πŸ“Š 🧲
Business, Companies 0.6200 πŸ“Š 🧲
Civil Unrest, Conflict 0.2900 πŸ“Š 🧲
Environment, Climate 0.0700 πŸ“Š 🧲
Health 0.0600 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
2026-06-21 11:19:10+00 Politics theguardian.com The business secretary knows about jobs, and seems pretty sure Keir is out of one Analyze John Crace 😐 neutral 0.1839
2026-06-18 19:35:26+00 Health calmatters.org California is getting ready to increase a health insurance tax. Will it affect your premium? Analyze Ana B. Ibarra 😐 neutral 0.0819