Text & Content Analysis

Context: entity (photograph)  |  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
photograph
Window
Last 7 days
Articles
2
From
2026-06-07 14:00:34+00
To
2026-06-07 14:00:35+00
Range
2026-06-03 09:02:45.881156+00 β†’ 2026-06-10 09:02:45.881156+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 0.9900 πŸ“Š 🧲
Government 0.6400 πŸ“Š 🧲
Civil Unrest, Conflict 0.2000 πŸ“Š 🧲
Environment, Climate 0.1100 πŸ“Š 🧲
Political Theatre 0.0300 πŸ“Š 🧲
Technology 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
2026-06-07 14:00:35+00 Business theguardian.com Credit cards aren’t evil – if you know how to use them the right way Analyze Gene Marks 😐 neutral 0.0349
2026-06-07 14:00:34+00 Politics theguardian.com Confessions of political liveblogger: β€˜I enjoy it professionally – but, as a citizen, you can think the country’s going to hell in a handcart’ Analyze Gautam Malkani 😐 neutral 0.1293