Text & Content Analysis

Context: entity (kezia)  |  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
kezia
Window
Last 30 days
Articles
2
From
2026-04-19 06:00:34+00
To
2026-05-08 11:00:27+00
Range
2026-04-08 15:16:03.003321+00 β†’ 2026-05-08 15:16:03.003321+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
theguardian.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.3100 πŸ“Š 🧲
Civil Unrest, Conflict 0.2400 πŸ“Š 🧲
Government 0.1600 πŸ“Š 🧲
Friends and Family 0.1600 πŸ“Š 🧲
Environment, Climate 0.1500 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
2026-05-08 11:00:27+00 Science theguardian.com The best recent science fiction, fantasy and horror Analyze Lisa Tuttle 😐 neutral 0.1441
2026-04-19 06:00:34+00 Politics theguardian.com β€˜Things could go backwards’: Kezia Dugdale on safety, LGBTQ+ rights and the future of Stonewall Analyze Helen Pidd 😐 neutral 0.0864