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
bbc
Articles
42
From
Tue, Aug 25 • 5:03 AM EDT
To
Thu, Sep 24 • 1:26 AM EDT
Range
Tue, Aug 25 • 3:28 AM EDT →
Thu, Sep 24 • 3:28 AM EDT
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| bbc | ORG | 42 | 📊 🔍 🧲 |
| share save add | PERSON | 16 | 📊 🔍 🧲 |
| utc | ORG | 9 | 📊 🔍 🧲 |
| one | CARDINAL | 7 | 📊 🔍 🧲 |
| donald trump | PERSON | 6 | 📊 🔍 🧲 |
| london | GPE | 5 | 📊 🔍 🧲 |
| ORG | 4 | 📊 🔍 🧲 | |
| bbc sun | ORG | 3 | 📊 🔍 🧲 |
| bbc thu | PERSON | 3 | 📊 🔍 🧲 |
| british | NORP | 3 | 📊 🔍 🧲 |
| democrats | NORP | 3 | 📊 🔍 🧲 |
| england | GPE | 3 | 📊 🔍 🧲 |
| health | ORG | 3 | 📊 🔍 🧲 |
| uk | GPE | 3 | 📊 🔍 🧲 |
| bbc fri | ORG | 2 | 📊 🔍 🧲 |
| bbc jersey | GPE | 2 | 📊 🔍 🧲 |
| bbc mon | ORG | 2 | 📊 🔍 🧲 |
| bbc sounds | ORG | 2 | 📊 🔍 🧲 |
| burnham | ORG | 2 | 📊 🔍 🧲 |
| christopher harborne | PERSON | 2 | 📊 🔍 🧲 |
| congress | ORG | 2 | 📊 🔍 🧲 |
| democrat | NORP | 2 | 📊 🔍 🧲 |
| dolly parton | PERSON | 2 | 📊 🔍 🧲 |
| facebook and instagram | WORK_OF_ART | 2 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
21 | 50.00 | 📊 📰 🧲 |
|
|
17 | 40.48 | 📊 📰 🧲 |
|
|
1 | 2.38 | 📊 📰 🧲 |
|
|
1 | 2.38 | 📊 📰 🧲 |
|
|
1 | 2.38 | 📊 📰 🧲 |
|
|
1 | 2.38 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 13.8900 | 📊 🧲 |
| Technology | 7.2000 | 📊 🧲 |
| Government | 6.1000 | 📊 🧲 |
| Civil Unrest, Conflict | 5.3200 | 📊 🧲 |
| Environment, Climate | 3.5100 | 📊 🧲 |
| Friends and Family | 1.4500 | 📊 🧲 |
| Health | 1.3500 | 📊 🧲 |
| Political Theatre | 1.3100 | 📊 🧲 |
| Other | 1.2000 | — |
Articles included
Top entities
Top sources
Top narrative frames