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
x
Articles
16
From
2026-05-15 20:21:08+00
To
2026-06-01 23:50:10+00
Range
2026-05-14 12:55:46.894395+00 →
2026-06-13 12:55:46.894395+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| x | ORG | 16 | 📊 🔍 🧲 |
| lions | ORG | 8 | 📊 🔍 🧲 |
| lions wire | ORG | 8 | 📊 🔍 🧲 |
| detroit lions | ORG | 7 | 📊 🔍 🧲 |
| utc | ORG | 7 | 📊 🔍 🧲 |
| follow jimmy | PERSON | 6 | 📊 🔍 🧲 |
| jimmy liao | PERSON | 6 | 📊 🔍 🧲 |
| md | GPE | 6 | 📊 🔍 🧲 |
| detroit | GPE | 5 | 📊 🔍 🧲 |
| donald trump | PERSON | 5 | 📊 🔍 🧲 |
| lions wire sun | ORG | 5 | 📊 🔍 🧲 |
| democrats | NORP | 4 | 📊 🔍 🧲 |
| detroit lions morning rounds | ORG | 4 | 📊 🔍 🧲 |
| jimmy liao md | PERSON | 4 | 📊 🔍 🧲 |
| nfl | ORG | 4 | 📊 🔍 🧲 |
| may 2026 offseason | DATE | 3 | 📊 🔍 🧲 |
| republicans | NORP | 3 | 📊 🔍 🧲 |
| americans | NORP | 2 | 📊 🔍 🧲 |
| british | NORP | 2 | 📊 🔍 🧲 |
| capitol | FAC | 2 | 📊 🔍 🧲 |
| congress | ORG | 2 | 📊 🔍 🧲 |
| dc | GPE | 2 | 📊 🔍 🧲 |
| dt | PERSON | 2 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
10 | 62.50 | 📊 📰 🧲 |
|
|
2 | 12.50 | 📊 📰 🧲 |
|
|
1 | 6.25 | 📊 📰 🧲 |
|
|
1 | 6.25 | 📊 📰 🧲 |
|
|
1 | 6.25 | 📊 📰 🧲 |
|
|
1 | 6.25 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 4.3200 | 📊 🧲 |
| Business, Companies | 3.9900 | 📊 🧲 |
| Technology | 2.5700 | 📊 🧲 |
| Environment, Climate | 2.1800 | 📊 🧲 |
| Civil Unrest, Conflict | 1.2800 | 📊 🧲 |
| Political Theatre | 0.6000 | 📊 🧲 |
| Entertainment | 0.5400 | 📊 🧲 |
| Friends and Family | 0.2700 | 📊 🧲 |
| Other | 0.1700 | — |
Articles included
Top entities
Top sources
Top narrative frames