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
kai mcnamee
Articles
2
From
2026-08-21 07:00:00+00
To
2026-08-22 20:33:50+00
Range
2026-08-12 13:39:22.899023+00 →
2026-09-11 13:39:22.899023+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| download embed embed | FAC | 2 | 📊 🔍 🧲 |
| kai mcnamee | PERSON | 2 | 📊 🔍 🧲 |
| listen | PRODUCT | 2 | 📊 🔍 🧲 |
| npr | ORG | 2 | 📊 🔍 🧲 |
| npr app apple podcasts spotify amazon music iheart radio rss | ORG | 2 | 📊 🔍 🧲 |
| adam raney | PERSON | 1 | 📊 🔍 🧲 |
| ailsa chang | PERSON | 1 | 📊 🔍 🧲 |
| alyssa pagan | PERSON | 1 | 📊 🔍 🧲 |
| apple podcasts | ORG | 1 | 📊 🔍 🧲 |
| ashley lopez | PERSON | 1 | 📊 🔍 🧲 |
| austin | PERSON | 1 | 📊 🔍 🧲 |
| ben swasey | PERSON | 1 | 📊 🔍 🧲 |
| berly mccoy | PERSON | 1 | 📊 🔍 🧲 |
| christopher intagliata why | PERSON | 1 | 📊 🔍 🧲 |
| christopher intaliata | PERSON | 1 | 📊 🔍 🧲 |
| courtney dorning | PERSON | 1 | 📊 🔍 🧲 |
| csa | GPE | 1 | 📊 🔍 🧲 |
| esa | ORG | 1 | 📊 🔍 🧲 |
| jimmy keeley | PERSON | 1 | 📊 🔍 🧲 |
| merriam park library | FAC | 1 | 📊 🔍 🧲 |
| minnesota | GPE | 1 | 📊 🔍 🧲 |
| nasa | ORG | 1 | 📊 🔍 🧲 |
| nathan rott | PERSON | 1 | 📊 🔍 🧲 |
| npr listen follow | ORG | 1 | 📊 🔍 🧲 |
| npr npr | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-08-22 20:33:50+00 | Politics |
|
A veteran political reporter shares the lessons she learned hearing from swing voters | Analyze | NPR | 😐 neutral | 0.075 |
| 2026-08-21 07:00:00+00 | Science |
|
Why scientists are stoked about mysterious black hole stars | Analyze | Regina G. Barber | 😐 neutral | 0.0826 |