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
a year later
Articles
7
From
2026-05-16 20:53:14+00
To
2026-06-07 14:36:00+00
Range
2026-05-14 18:59:23.646728+00 →
2026-06-13 18:59:23.646728+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| a year later | DATE | 7 | 📊 🔍 🧲 |
| ap | ORG | 3 | 📊 🔍 🧲 |
| brooklyn | GPE | 3 | 📊 🔍 🧲 |
| donald trump | ORG | 3 | 📊 🔍 🧲 |
| miami | GPE | 3 | 📊 🔍 🧲 |
| new york | GPE | 3 | 📊 🔍 🧲 |
| today | DATE | 3 | 📊 🔍 🧲 |
| washington | GPE | 3 | 📊 🔍 🧲 |
| abby | PERSON | 2 | 📊 🔍 🧲 |
| abigail van buren | PERSON | 2 | 📊 🔍 🧲 |
| actor | ORG | 2 | 📊 🔍 🧲 |
| adam | PERSON | 2 | 📊 🔍 🧲 |
| alama hayes | PERSON | 2 | 📊 🔍 🧲 |
| alexander | GPE | 2 | 📊 🔍 🧲 |
| alexander mogilny | PERSON | 2 | 📊 🔍 🧲 |
| alyn lind | PERSON | 2 | 📊 🔍 🧲 |
| american | NORP | 2 | 📊 🔍 🧲 |
| associated press buffalo | ORG | 2 | 📊 🔍 🧲 |
| australia | GPE | 2 | 📊 🔍 🧲 |
| bella heathcote | PERSON | 2 | 📊 🔍 🧲 |
| bluesky whatsapp | PERSON | 2 | 📊 🔍 🧲 |
| bowman | PERSON | 2 | 📊 🔍 🧲 |
| buffalo | GPE | 2 | 📊 🔍 🧲 |
| buffalo sabres | ORG | 2 | 📊 🔍 🧲 |
| california | GPE | 2 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
2 | 28.57 | 📊 📰 🧲 |
|
|
2 | 28.57 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 1.9700 | 📊 🧲 |
| Environment, Climate | 1.2800 | 📊 🧲 |
| Government | 1.2500 | 📊 🧲 |
| Civil Unrest, Conflict | 0.5600 | 📊 🧲 |
| Entertainment | 0.5400 | 📊 🧲 |
| Health | 0.3700 | 📊 🧲 |
| Food and Beverage | 0.2900 | 📊 🧲 |
| Technology | 0.2800 | 📊 🧲 |
| Other | 0.4100 | — |
Articles included
Top entities
Top sources
Top narrative frames