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
rochelle walensky
Articles
2
From
2026-06-01 01:06:14+00
To
2026-06-16 07:00:00+00
Range
2026-05-19 07:21:25.596998+00 →
2026-06-18 07:21:25.596998+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| cdc | ORG | 2 | 📊 🔍 🧲 |
| covid | ORG | 2 | 📊 🔍 🧲 |
| rochelle walensky | PERSON | 2 | 📊 🔍 🧲 |
| agency | ORG | 1 | 📊 🔍 🧲 |
| america | GPE | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| anthony fauci | PERSON | 1 | 📊 🔍 🧲 |
| bill maher | PERSON | 1 | 📊 🔍 🧲 |
| capitol hill | LOC | 1 | 📊 🔍 🧲 |
| cochrane library | PRODUCT | 1 | 📊 🔍 🧲 |
| covid19 | ORG | 1 | 📊 🔍 🧲 |
| dallas | GPE | 1 | 📊 🔍 🧲 |
| david m ewalt | PERSON | 1 | 📊 🔍 🧲 |
| dc | GPE | 1 | 📊 🔍 🧲 |
| earlier that week | DATE | 1 | 📊 🔍 🧲 |
| editor | PERSON | 1 | 📊 🔍 🧲 |
| education | ORG | 1 | 📊 🔍 🧲 |
| fox news | ORG | 1 | 📊 🔍 🧲 |
| george bernard shaw | PERSON | 1 | 📊 🔍 🧲 |
| ORG | 1 | 📊 🔍 🧲 | |
| harvard medical school | ORG | 1 | 📊 🔍 🧲 |
| ian miller | PERSON | 1 | 📊 🔍 🧲 |
| labor | ORG | 1 | 📊 🔍 🧲 |
| labor and pensions committee | ORG | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 50.00 | 📊 📰 🧲 |
|
|
1 | 50.00 | 📊 📰 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-06-16 07:00:00+00 | Science |
|
Rochelle Walensky | Analyze | Tara Haelle | 😐 neutral | 0.1967 |
| 2026-06-01 01:06:14+00 | Science |
|
Here's how the CDC tried to use bad science to convince people to wear masks during COVID | Analyze | OutKick | 😐 neutral | 0.084 |