Text & Content Analysis

Context: entity (josh simons)  |  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
josh simons
Window
Last 30 days
Articles
2
From
2026-05-15 20:21:08+00
To
2026-05-18 16:23:11+00
Range
2026-05-13 19:08:43.379831+00 β†’ 2026-06-12 19:08:43.379831+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.8900 πŸ“Š 🧲
Political Theatre 0.3300 πŸ“Š 🧲
Government 0.3100 πŸ“Š 🧲
Business, Companies 0.2500 πŸ“Š 🧲
Technology 0.1000 πŸ“Š 🧲
Environment, Climate 0.0900 πŸ“Š 🧲
Entertainment 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
2026-05-18 16:23:11+00 Politics wral.com What to know about the political chaos engulfing the UK's Labour Party and efforts to unseat Starmer Analyze BRIAN MELLEY and SYLVIA HUI β€” Associated Press 😐 neutral 0.0841
2026-05-15 20:21:08+00 Politics bbc.com How Rayner, Streeting and Burnham weakened PM in 12 hours of political drama Analyze bbc.com 😐 neutral 0.1345