Text & Content Analysis

Context: entity (potsdam)  |  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
potsdam
Window
Last 30 days
Articles
2
From
Tue, Sep 22 β€’ 7:25 AM EDT
To
Wed, Sep 23 β€’ 1:00 AM EDT
Range
Thu, Aug 27 β€’ 1:57 AM EDT β†’ Sat, Sep 26 β€’ 1:57 AM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.8500 πŸ“Š 🧲
Business, Companies 0.5500 πŸ“Š 🧲
Technology 0.2000 πŸ“Š 🧲
Friends and Family 0.2000 πŸ“Š 🧲
Government 0.1000 πŸ“Š 🧲
Civil Unrest, Conflict 0.0900 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
☹️ Negative 1 πŸ“Š 🧲
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-23 05:00:15+00 Science theguardian.com How opencast mining risks reawakening dormant geological faults Analyze Kate Ravilious 😐 neutral 0.1401
2026-09-22 11:25:27+00 Sports wwnytv.com Sports: high school soccer in spotlight Analyze 7 News Staff ☹️ negative -0.0215