Text & Content Analysis
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.
Explore by Category
Corpus KPIs
Entity
apple podcasts
Articles
8
From
2026-05-17 22:45:56+00
To
2026-06-10 05:27:40+00
Range
2026-05-17 03:09:33.04186+00 →
2026-06-16 03:09:33.04186+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| apple podcasts | ORG | 8 | 📊 🔍 🧲 |
| spotify | ORG | 7 | 📊 🔍 🧲 |
| download embed embed | FAC | 4 | 📊 🔍 🧲 |
| npr | ORG | 4 | 📊 🔍 🧲 |
| npr app apple podcasts spotify amazon music iheart radio youtube music | ORG | 4 | 📊 🔍 🧲 |
| jimmy keeley | PERSON | 3 | 📊 🔍 🧲 |
| listen | PRODUCT | 3 | 📊 🔍 🧲 |
| hannah chinn | PERSON | 2 | 📊 🔍 🧲 |
| rebecca ramirez | PERSON | 2 | 📊 🔍 🧲 |
| short wave | PERSON | 2 | 📊 🔍 🧲 |
| the ix sports podcast | EVENT | 2 | 📊 🔍 🧲 |
| the ix sports podcast womens sports daily | ORG | 2 | 📊 🔍 🧲 |
| two | CARDINAL | 2 | 📊 🔍 🧲 |
| tyler jones | PERSON | 2 | 📊 🔍 🧲 |
| wnba | ORG | 2 | 📊 🔍 🧲 |
| womens sports daily | ORG | 2 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| amazon music | ORG | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| apple | ORG | 1 | 📊 🔍 🧲 |
| arike ogunbowale | PERSON | 1 | 📊 🔍 🧲 |
| ayesha | PERSON | 1 | 📊 🔍 🧲 |
| ayesha rascoe | PERSON | 1 | 📊 🔍 🧲 |
| azzi fudd | PERSON | 1 | 📊 🔍 🧲 |
| banijay americas bd4 | ORG | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 3.5200 | 📊 🧲 |
| Entertainment | 1.3800 | 📊 🧲 |
| Government | 0.9900 | 📊 🧲 |
| Technology | 0.6000 | 📊 🧲 |
| Civil Unrest, Conflict | 0.5500 | 📊 🧲 |
| Environment, Climate | 0.4900 | 📊 🧲 |
| Friends and Family | 0.2800 | 📊 🧲 |
| Health | 0.0700 | 📊 🧲 |
| Other | 0.0500 | — |
Articles included
Top entities
Top sources
Top narrative frames