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
baker county
Articles
1
From
2026-09-11 22:44:57+00
To
2026-09-11 22:44:57+00
Range
2026-09-05 15:26:51.851425+00 →
2026-09-12 15:26:51.851425+00
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Friends and Family | 0.5500 | 📊 🧲 |
| Environment, Climate | 0.3600 | 📊 🧲 |
| Food and Beverage | 0.0100 | 📊 🧲 |
| Government | 0.0100 | 📊 🧲 |
| Business, Companies | 0.0100 | 📊 🧲 |
| Health | 0.0100 | 📊 🧲 |
| Civil Unrest, Conflict | 0.0100 | 📊 🧲 |
| Entertainment | 0.0100 | 📊 🧲 |
| Other | 0.0200 | — |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-09-11 22:44:57+00 | Politics |
|
Republicans made El-Sayed a top midterm target. The Democrat wants to talk about Michigan voters | Analyze | Jacqueline Ganun And Jonathan J. Cooper,Associated Press | 😐 neutral | 0.16 |