Text & Content Analysis

Context: entity (climate)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
climate
Window
Last 30 days
Articles
3
From
2026-08-24 17:27:18+00
To
2026-09-10 05:00:15+00
Range
2026-08-15 07:32:05.811384+00 β†’ 2026-09-14 07:32:05.811384+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 1.2500 πŸ“Š 🧲
Technology 0.6500 πŸ“Š 🧲
Government 0.5100 πŸ“Š 🧲
Business, Companies 0.2700 πŸ“Š 🧲
Health 0.2100 πŸ“Š 🧲
Friends and Family 0.1000 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-10 05:00:15+00 Science theguardian.com Climate solutions most likely to reach β€˜positive tipping points’ revealed by scientists Analyze Matthew Pearce 😐 neutral 0.1537
2026-08-26 19:25:05+00 Science livescience.com How worried are you about the health impacts of extreme heat? Analyze https://www.livescience.com/author/kenna-hughes-castleberry 😐 neutral 0.0824
2026-08-24 17:27:18+00 Science eos.org Climate Model Benchmarking: Building Trust and Advancing Science Analyze Birgit Hassler,Forrest Hoffman,Ranjini Swaminathan,Beth Dingley 😐 neutral 0.0946