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
10
From
2026-08-20 18:22:42+00
To
2026-09-14 18:26:32+00
Range
2026-08-17 17:33:59.497583+00 →
2026-09-16 17:33:59.497583+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| apple podcasts | ORG | 10 | 📊 🔍 🧲 |
| spotify | PRODUCT | 9 | 📊 🔍 🧲 |
| download embed embed | FAC | 3 | 📊 🔍 🧲 |
| jimmy keeley | PERSON | 3 | 📊 🔍 🧲 |
| npr | GPE | 3 | 📊 🔍 🧲 |
| npr app apple podcasts spotify amazon music iheart radio rss | ORG | 3 | 📊 🔍 🧲 |
| rebecca ramirez | PERSON | 3 | 📊 🔍 🧲 |
| rss | ORG | 3 | 📊 🔍 🧲 |
| tyler jones | PERSON | 3 | 📊 🔍 🧲 |
| youtube | ORG | 3 | 📊 🔍 🧲 |
| america | GPE | 2 | 📊 🔍 🧲 |
| donald trump | ORG | 2 | 📊 🔍 🧲 |
| listen | PRODUCT | 2 | 📊 🔍 🧲 |
| nathan rott | PERSON | 2 | 📊 🔍 🧲 |
| philadelphia | GPE | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| 40 trillion | MONEY | 1 | 📊 🔍 🧲 |
| 8 million | MONEY | 1 | 📊 🔍 🧲 |
| a2 | PRODUCT | 1 | 📊 🔍 🧲 |
| a2ce4 | PERSON | 1 | 📊 🔍 🧲 |
| abbott | GPE | 1 | 📊 🔍 🧲 |
| ac66c | ORG | 1 | 📊 🔍 🧲 |
| ae | ORG | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| ailsa chang | PERSON | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 3.3500 | 📊 🧲 |
| Government | 1.9700 | 📊 🧲 |
| Entertainment | 1.5700 | 📊 🧲 |
| Environment, Climate | 0.8700 | 📊 🧲 |
| Civil Unrest, Conflict | 0.6900 | 📊 🧲 |
| Technology | 0.6500 | 📊 🧲 |
| Political Theatre | 0.4500 | 📊 🧲 |
| Friends and Family | 0.2900 | 📊 🧲 |
| Other | 0.1300 | — |
Articles included
Top entities
Top sources
Top narrative frames