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
meta
Articles
9
From
2026-03-31 15:25:56+00
To
2026-04-29 06:58:00+00
Range
2026-03-30 11:38:37.080204+00 →
2026-04-29 11:38:37.080204+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| meta | ORG | 9 | 📊 🔍 🧲 |
| ORG | 7 | 📊 🔍 🧲 | |
| ai | ORG | 4 | 📊 🔍 🧲 |
| u.s. | GPE | 4 | 📊 🔍 🧲 |
| amazon | ORG | 3 | 📊 🔍 🧲 |
| openai | PERSON | 3 | 📊 🔍 🧲 |
| tiktok | ORG | 3 | 📊 🔍 🧲 |
| anthropics claude | ORG | 2 | 📊 🔍 🧲 |
| digiday | ORG | 2 | 📊 🔍 🧲 |
| facebook twitter | PERSON | 2 | 📊 🔍 🧲 |
| hormuz | PERSON | 2 | 📊 🔍 🧲 |
| linkedin reddit | PERSON | 2 | 📊 🔍 🧲 |
| netflix | ORG | 2 | 📊 🔍 🧲 |
| treasury | ORG | 2 | 📊 🔍 🧲 |
| uk | GPE | 2 | 📊 🔍 🧲 |
| 10 million | MONEY | 1 | 📊 🔍 🧲 |
| 1287 billion | MONEY | 1 | 📊 🔍 🧲 |
| 131 billion | MONEY | 1 | 📊 🔍 🧲 |
| 200 billion | MONEY | 1 | 📊 🔍 🧲 |
| 3 million | MONEY | 1 | 📊 🔍 🧲 |
| 35 billion | MONEY | 1 | 📊 🔍 🧲 |
| 456 billion | MONEY | 1 | 📊 🔍 🧲 |
| 50 billion | MONEY | 1 | 📊 🔍 🧲 |
| about three quarters | CARDINAL | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
2 | 22.22 | 📊 📰 🧲 |
|
|
1 | 11.11 | 📊 📰 🧲 |
|
|
1 | 11.11 | 📊 📰 🧲 |
|
|
1 | 11.11 | 📊 📰 🧲 |
|
|
1 | 11.11 | 📊 📰 🧲 |
|
|
1 | 11.11 | 📊 📰 🧲 |
|
|
1 | 11.11 | 📊 📰 🧲 |
|
|
1 | 11.11 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 3.6100 | 📊 🧲 |
| Government | 2.6900 | 📊 🧲 |
| Technology | 1.1900 | 📊 🧲 |
| Civil Unrest, Conflict | 0.5000 | 📊 🧲 |
| Entertainment | 0.2700 | 📊 🧲 |
| Environment, Climate | 0.2500 | 📊 🧲 |
| Friends and Family | 0.1700 | 📊 🧲 |
| Health | 0.1700 | 📊 🧲 |
| Other | 0.1300 | — |
Articles included
Top entities
Top sources
Top narrative frames