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
election day
Articles
18
From
Wed, Aug 26 • 5:00 PM EDT
To
Thu, Sep 24 • 12:48 PM EDT
Range
Wed, Aug 26 • 1:08 PM EDT →
Fri, Sep 25 • 1:08 PM EDT
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| democrats | NORP | 23 | 📊 🔍 🧲 |
| republicans | NORP | 21 | 📊 🔍 🧲 |
| election day | DATE | 18 | 📊 🔍 🧲 |
| donald trump | PERSON | 16 | 📊 🔍 🧲 |
| texas | GPE | 9 | 📊 🔍 🧲 |
| gop | ORG | 8 | 📊 🔍 🧲 |
| senate | ORG | 8 | 📊 🔍 🧲 |
| u.s. | GPE | 7 | 📊 🔍 🧲 |
| american | NORP | 6 | 📊 🔍 🧲 |
| democrat | NORP | 6 | 📊 🔍 🧲 |
| house | ORG | 6 | 📊 🔍 🧲 |
| congress | ORG | 5 | 📊 🔍 🧲 |
| michigan | GPE | 5 | 📊 🔍 🧲 |
| state | ORG | 5 | 📊 🔍 🧲 |
| alaska | GPE | 4 | 📊 🔍 🧲 |
| americans | NORP | 4 | 📊 🔍 🧲 |
| dallas | GPE | 4 | 📊 🔍 🧲 |
| iran | GPE | 4 | 📊 🔍 🧲 |
| james talarico | PERSON | 4 | 📊 🔍 🧲 |
| ken paxton | PERSON | 4 | 📊 🔍 🧲 |
| one | CARDINAL | 4 | 📊 🔍 🧲 |
| share add | PERSON | 4 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
4 | 22.22 | 📊 📰 🧲 |
|
|
3 | 16.67 | 📊 📰 🧲 |
|
|
2 | 11.11 | 📊 📰 🧲 |
|
|
1 | 5.56 | 📊 📰 🧲 |
|
|
1 | 5.56 | 📊 📰 🧲 |
|
|
1 | 5.56 | 📊 📰 🧲 |
|
|
1 | 5.56 | 📊 📰 🧲 |
|
|
1 | 5.56 | 📊 📰 🧲 |
|
|
1 | 5.56 | 📊 📰 🧲 |
|
|
1 | 5.56 | 📊 📰 🧲 |
|
|
1 | 5.56 | 📊 📰 🧲 |
|
|
1 | 5.56 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 11.7000 | 📊 🧲 |
| Political Theatre | 1.8100 | 📊 🧲 |
| Business, Companies | 1.5300 | 📊 🧲 |
| Civil Unrest, Conflict | 1.1400 | 📊 🧲 |
| Environment, Climate | 0.8100 | 📊 🧲 |
| Friends and Family | 0.5600 | 📊 🧲 |
| Entertainment | 0.2600 | 📊 🧲 |
| Technology | 0.1600 | 📊 🧲 |
Articles included
Top entities
Top sources
Top narrative frames