Text & Content Analysis

Context: entity (oecd)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 4 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
oecd
Window
Last 30 days
Articles
4
From
2026-08-21 08:37:02+00
To
2026-09-09 12:05:00+00
Range
2026-08-11 12:48:07.721985+00 β†’ 2026-09-10 12:48:07.721985+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.4700 πŸ“Š 🧲
Friends and Family 1.0000 πŸ“Š 🧲
Environment, Climate 0.3700 πŸ“Š 🧲
Political Theatre 0.3200 πŸ“Š 🧲
Technology 0.2600 πŸ“Š 🧲
Food and Beverage 0.2500 πŸ“Š 🧲
Business, Companies 0.2100 πŸ“Š 🧲
Civil Unrest, Conflict 0.0500 πŸ“Š 🧲
Other 0.0400 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 4 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-09 12:05:00+00 Science qazinform.com Kazakhstan records long-term gains in science as math scores fall in PISA 2025 Analyze @kazinform_eng 😐 neutral 0.0298
2026-09-08 14:42:47+00 Science scmp.com Hong Kong students drop in global rankings for maths, science and literacy Analyze South China Morning Post 😐 neutral 0.11
2026-09-03 04:01:30+00 Politics cnn.com Americans’ β€˜government corruption’ problem is in a new league Analyze Zachary B. Wolf 😐 neutral 0.0848
2026-08-21 08:37:02+00 Science decode39.com Science is the new national security. What it means for Italy Analyze https://decode39.com/author/emanuele-rossi/ 😐 neutral 0.0871