Text & Content Analysis

Context: entity (rich thau)  |  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
rich thau
Window
Last 24h
Articles
1
From
2026-03-15 07:00:03+00
To
2026-03-15 07:00:03+00
Range
2026-03-14 20:51:47.580398+00 β†’ 2026-03-15 20:51:47.580398+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
apple podcasts ORG 1 πŸ“Š πŸ” 🧲
ashley lopez PERSON 1 πŸ“Š πŸ” 🧲
mara liasson PERSON 1 πŸ“Š πŸ” 🧲
npr ORG 1 πŸ“Š πŸ” 🧲
npr app apple podcasts spotify amazon music iheart radio youtube music ORG 1 πŸ“Š πŸ” 🧲
npr politics podcast ORG 1 πŸ“Š πŸ” 🧲
politics march 15 2026 DATE 1 πŸ“Š πŸ” 🧲
rich thau PERSON 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
Entertainment 0.3400 πŸ“Š 🧲
Government 0.3400 πŸ“Š 🧲
Business, Companies 0.3100 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
2026-03-15 07:00:03+00 Politics npr.org Inside our swing voter project (Politics+) Analyze NPR 😐 neutral 0.125