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
40 million
Articles
6
From
Fri, Aug 28 • 8:02 AM EDT
To
Tue, Sep 22 • 7:53 AM EDT
Range
Thu, Aug 27 • 6:33 PM EDT →
Sat, Sep 26 • 6:33 PM EDT
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 40 million | MONEY | 6 | 📊 🔍 🧲 |
| ai | ORG | 5 | 📊 🔍 🧲 |
| donald trump | PERSON | 4 | 📊 🔍 🧲 |
| u.s. | GPE | 4 | 📊 🔍 🧲 |
| one | CARDINAL | 3 | 📊 🔍 🧲 |
| amazon | ORG | 2 | 📊 🔍 🧲 |
| american | NORP | 2 | 📊 🔍 🧲 |
| democrat | NORP | 2 | 📊 🔍 🧲 |
| democrats | NORP | 2 | 📊 🔍 🧲 |
| harvard | ORG | 2 | 📊 🔍 🧲 |
| house | ORG | 2 | 📊 🔍 🧲 |
| los angeles | GPE | 2 | 📊 🔍 🧲 |
| new york | GPE | 2 | 📊 🔍 🧲 |
| new york city | GPE | 2 | 📊 🔍 🧲 |
| openai | GPE | 2 | 📊 🔍 🧲 |
| republicans | NORP | 2 | 📊 🔍 🧲 |
| washington | GPE | 2 | 📊 🔍 🧲 |
| 10 billion | MONEY | 1 | 📊 🔍 🧲 |
| 10 million | MONEY | 1 | 📊 🔍 🧲 |
| 100000 | MONEY | 1 | 📊 🔍 🧲 |
| 23 trillion | MONEY | 1 | 📊 🔍 🧲 |
| 234 million | MONEY | 1 | 📊 🔍 🧲 |
| 44 million | MONEY | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 2.5000 | 📊 🧲 |
| Business, Companies | 1.8100 | 📊 🧲 |
| Environment, Climate | 0.6000 | 📊 🧲 |
| Technology | 0.4600 | 📊 🧲 |
| Political Theatre | 0.2400 | 📊 🧲 |
| Friends and Family | 0.1300 | 📊 🧲 |
| Health | 0.1200 | 📊 🧲 |
| Civil Unrest, Conflict | 0.0700 | 📊 🧲 |
| Other | 0.0700 | — |
Articles included
Top entities
Top sources
Top narrative frames