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
openai
Articles
6
From
2026-06-04 23:45:00+00
To
2026-06-09 12:28:34+00
Range
2026-06-02 20:47:58.262117+00 →
2026-06-09 20:47:58.262117+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ai | ORG | 6 | 📊 🔍 🧲 |
| openai | GPE | 6 | 📊 🔍 🧲 |
| anthropic | PERSON | 4 | 📊 🔍 🧲 |
| one | CARDINAL | 3 | 📊 🔍 🧲 |
| california | GPE | 2 | 📊 🔍 🧲 |
| congress | ORG | 2 | 📊 🔍 🧲 |
| daniel lurie | PERSON | 2 | 📊 🔍 🧲 |
| email print copy | PERSON | 2 | 📊 🔍 🧲 |
| facebook twitter | PERSON | 2 | 📊 🔍 🧲 |
| llm | ORG | 2 | 📊 🔍 🧲 |
| north beach | GPE | 2 | 📊 🔍 🧲 |
| san francisco | GPE | 2 | 📊 🔍 🧲 |
| save facebook twitter | PERSON | 2 | 📊 🔍 🧲 |
| sears | ORG | 2 | 📊 🔍 🧲 |
| sf | GPE | 2 | 📊 🔍 🧲 |
| today | DATE | 2 | 📊 🔍 🧲 |
| PERSON | 2 | 📊 🔍 🧲 | |
| 18 billion | MONEY | 1 | 📊 🔍 🧲 |
| 300 million | MONEY | 1 | 📊 🔍 🧲 |
| 300 million to 400 million | MONEY | 1 | 📊 🔍 🧲 |
| 4 | MONEY | 1 | 📊 🔍 🧲 |
| 500 million | MONEY | 1 | 📊 🔍 🧲 |
| 600 million | MONEY | 1 | 📊 🔍 🧲 |
| 800 million | MONEY | 1 | 📊 🔍 🧲 |
| affordable care act | LAW | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
2 | 33.33 | 📊 📰 🧲 |
|
|
2 | 33.33 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 1.8400 | 📊 🧲 |
| Government | 1.7900 | 📊 🧲 |
| Technology | 1.2600 | 📊 🧲 |
| Civil Unrest, Conflict | 0.3300 | 📊 🧲 |
| Health | 0.2400 | 📊 🧲 |
| Political Theatre | 0.2200 | 📊 🧲 |
| Environment, Climate | 0.1600 | 📊 🧲 |
| Friends and Family | 0.1300 | 📊 🧲 |
| Other | 0.0200 | — |
Articles included
Top entities
Top sources
Top narrative frames