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
metro
Articles
6
From
2026-05-20 11:11:23+00
To
2026-06-10 22:12:31+00
Range
2026-05-14 23:18:47.99486+00 →
2026-06-13 23:18:47.99486+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| metro | GPE | 6 | 📊 🔍 🧲 |
| atlanta | GPE | 2 | 📊 🔍 🧲 |
| cox media group | ORG | 2 | 📊 🔍 🧲 |
| nyc | ORG | 2 | 📊 🔍 🧲 |
| rebny | PERSON | 2 | 📊 🔍 🧲 |
| san diego | GPE | 2 | 📊 🔍 🧲 |
| steve cuozzo mamdani | PERSON | 2 | 📊 🔍 🧲 |
| stories | ORG | 2 | 📊 🔍 🧲 |
| the post | ORG | 2 | 📊 🔍 🧲 |
| wsbtv daily headlines newsletter | ORG | 2 | 📊 🔍 🧲 |
| 1 million | MONEY | 1 | 📊 🔍 🧲 |
| 1057 million | MONEY | 1 | 📊 🔍 🧲 |
| 1275 million | MONEY | 1 | 📊 🔍 🧲 |
| 1595 million | MONEY | 1 | 📊 🔍 🧲 |
| 16 billion | MONEY | 1 | 📊 🔍 🧲 |
| 165 million | MONEY | 1 | 📊 🔍 🧲 |
| 17 million | MONEY | 1 | 📊 🔍 🧲 |
| 170 million | MONEY | 1 | 📊 🔍 🧲 |
| 212 million | MONEY | 1 | 📊 🔍 🧲 |
| 2446 million | MONEY | 1 | 📊 🔍 🧲 |
| 403 million | MONEY | 1 | 📊 🔍 🧲 |
| 4145 million | MONEY | 1 | 📊 🔍 🧲 |
| 42 million | MONEY | 1 | 📊 🔍 🧲 |
| 6377 million | MONEY | 1 | 📊 🔍 🧲 |
| 702 million | MONEY | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Technology | 1.4000 | 📊 🧲 |
| Government | 1.1100 | 📊 🧲 |
| Civil Unrest, Conflict | 1.0900 | 📊 🧲 |
| Environment, Climate | 0.7600 | 📊 🧲 |
| Entertainment | 0.5000 | 📊 🧲 |
| Business, Companies | 0.4700 | 📊 🧲 |
| Friends and Family | 0.4300 | 📊 🧲 |
| Health | 0.1600 | 📊 🧲 |
| Other | 0.0400 | — |
Articles included
Top entities
Top sources
Top narrative frames