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
kan
Articles
14
From
Wed, Sep 2 • 11:07 AM EDT
To
Mon, Sep 28 • 7:26 PM EDT
Range
Sun, Aug 30 • 1:37 AM EDT →
Tue, Sep 29 • 1:37 AM EDT
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| kan | GPE | 14 | 📊 🔍 🧲 |
| share add | PERSON | 8 | 📊 🔍 🧲 |
| cdt | ORG | 7 | 📊 🔍 🧲 |
| google add | FAC | 7 | 📊 🔍 🧲 |
| google topeka | ORG | 7 | 📊 🔍 🧲 |
| wibw | ORG | 7 | 📊 🔍 🧲 |
| kansas | GPE | 3 | 📊 🔍 🧲 |
| missouri | GPE | 3 | 📊 🔍 🧲 |
| topeka | GPE | 3 | 📊 🔍 🧲 |
| ai | ORG | 2 | 📊 🔍 🧲 |
| copyright 2026 | PERSON | 2 | 📊 🔍 🧲 |
| harris | PERSON | 2 | 📊 🔍 🧲 |
| nebraska | GPE | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| wibw news update | ORG | 2 | 📊 🔍 🧲 |
| 1 million | MONEY | 1 | 📊 🔍 🧲 |
| 100 million | MONEY | 1 | 📊 🔍 🧲 |
| 20 million | MONEY | 1 | 📊 🔍 🧲 |
| 33 million | MONEY | 1 | 📊 🔍 🧲 |
| 53 million | MONEY | 1 | 📊 🔍 🧲 |
| aaronson | PERSON | 1 | 📊 🔍 🧲 |
| abigail klinkerman kmbc | PERSON | 1 | 📊 🔍 🧲 |
| ache | ORG | 1 | 📊 🔍 🧲 |
| adam wollner | PERSON | 1 | 📊 🔍 🧲 |
| adam wollner sign | PERSON | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 4.8000 | 📊 🧲 |
| Technology | 2.3800 | 📊 🧲 |
| Business, Companies | 2.1300 | 📊 🧲 |
| Environment, Climate | 1.7500 | 📊 🧲 |
| Friends and Family | 1.1400 | 📊 🧲 |
| Civil Unrest, Conflict | 0.6400 | 📊 🧲 |
| Health | 0.6200 | 📊 🧲 |
| Political Theatre | 0.2100 | 📊 🧲 |
| Other | 0.2700 | — |
Articles included
Top entities
Top sources
Top narrative frames