Text & Content Analysis

Context: entity (ailsa chang)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 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
ailsa chang
Window
Last 30 days
Articles
1
From
2026-08-21 07:00:00+00
To
2026-08-21 07:00:00+00
Range
2026-07-23 06:18:12.086012+00 β†’ 2026-08-22 06:18:12.086012+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
ailsa chang PERSON 1 πŸ“Š πŸ” 🧲
alyssa pagan PERSON 1 πŸ“Š πŸ” 🧲
apple podcasts ORG 1 πŸ“Š πŸ” 🧲
austin PERSON 1 πŸ“Š πŸ” 🧲
berly mccoy PERSON 1 πŸ“Š πŸ” 🧲
christopher intagliata why PERSON 1 πŸ“Š πŸ” 🧲
christopher intaliata PERSON 1 πŸ“Š πŸ” 🧲
csa GPE 1 πŸ“Š πŸ” 🧲
download embed embed FAC 1 πŸ“Š πŸ” 🧲
esa ORG 1 πŸ“Š πŸ” 🧲
jimmy keeley PERSON 1 πŸ“Š πŸ” 🧲
kai mcnamee PERSON 1 πŸ“Š πŸ” 🧲
listen PRODUCT 1 πŸ“Š πŸ” 🧲
nasa ORG 1 πŸ“Š πŸ” 🧲
nathan rott PERSON 1 πŸ“Š πŸ” 🧲
npr GPE 1 πŸ“Š πŸ” 🧲
npr app apple podcasts spotify amazon music iheart radio rss ORG 1 πŸ“Š πŸ” 🧲
rebecca ramirez PERSON 1 πŸ“Š πŸ” 🧲
regina g barber PERSON 1 πŸ“Š πŸ” 🧲
spotify ORG 1 πŸ“Š πŸ” 🧲
ted mebane PERSON 1 πŸ“Š πŸ” 🧲
tyler jones PERSON 1 πŸ“Š πŸ” 🧲
vasily kokorev ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
npr.org 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.4800 πŸ“Š 🧲
Environment, Climate 0.2000 πŸ“Š 🧲
Entertainment 0.1400 πŸ“Š 🧲
Technology 0.1100 πŸ“Š 🧲
Friends and Family 0.0400 πŸ“Š 🧲
Civil Unrest, Conflict 0.0300 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-08-21 07:00:00+00 Science npr.org Why scientists are stoked about mysterious black hole stars Analyze Regina G. Barber 😐 neutral 0.0826