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
comment loader save story save
Articles
2
From
2026-04-03 21:23:33+00
To
2026-04-10 09:30:00+00
Range
2026-03-20 20:29:03.628258+00 →
2026-04-19 20:29:03.628258+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| comment loader save story save | WORK_OF_ART | 2 | 📊 🔍 🧲 |
| a new wavelength | ORG | 1 | 📊 🔍 🧲 |
| agrawal | PRODUCT | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| android | ORG | 1 | 📊 🔍 🧲 |
| anthropics claude | ORG | 1 | 📊 🔍 🧲 |
| apple | ORG | 1 | 📊 🔍 🧲 |
| claude | PRODUCT | 1 | 📊 🔍 🧲 |
| current research | ORG | 1 | 📊 🔍 🧲 |
| duke university | ORG | 1 | 📊 🔍 🧲 |
| facebook instagram | ORG | 1 | 📊 🔍 🧲 |
| fitbit | NORP | 1 | 📊 🔍 🧲 |
| french | NORP | 1 | 📊 🔍 🧲 |
| gauri agarwal | PERSON | 1 | 📊 🔍 🧲 |
| gave me terrible advice metas | ORG | 1 | 📊 🔍 🧲 |
| goodman | ORG | 1 | 📊 🔍 🧲 |
| ORG | 1 | 📊 🔍 🧲 | |
| hipaa | ORG | 1 | 📊 🔍 🧲 |
| kenneth goodman | PERSON | 1 | 📊 🔍 🧲 |
| last year | DATE | 1 | 📊 🔍 🧲 |
| layer health | ORG | 1 | 📊 🔍 🧲 |
| marta musso science apr 3 | PERSON | 1 | 📊 🔍 🧲 |
| meta | ORG | 1 | 📊 🔍 🧲 |
| meta ai | ORG | 1 | 📊 🔍 🧲 |
| meta handing | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-04-10 09:30:00+00 | Health |
|
Meta’s New AI Asked for My Raw Health Data—and Gave Me Terrible Advice | Analyze | Reece Rogers | 😐 neutral | 0.1438 |
| 2026-04-03 21:23:33+00 | Science |
|
Scientists Have Made French Fry Breakthrough | Analyze | Marta Musso | 😐 neutral | 0.1297 |