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
kameryn stanhouse
Articles
1
From
2026-08-24 04:01:00+00
To
2026-08-24 04:01:00+00
Range
2026-08-22 14:31:23.485308+00 →
2026-08-29 14:31:23.485308+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ai | ORG | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| apps | PERSON | 1 | 📊 🔍 🧲 |
| armonk | GPE | 1 | 📊 🔍 🧲 |
| brazil | GPE | 1 | 📊 🔍 🧲 |
| canada | GPE | 1 | 📊 🔍 🧲 |
| f1 | CARDINAL | 1 | 📊 🔍 🧲 |
| france | GPE | 1 | 📊 🔍 🧲 |
| gen z | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| germany | GPE | 1 | 📊 🔍 🧲 |
| ibm | ORG | 1 | 📊 🔍 🧲 |
| ibm sports intelligence report | LAW | 1 | 📊 🔍 🧲 |
| india | GPE | 1 | 📊 🔍 🧲 |
| italy | GPE | 1 | 📊 🔍 🧲 |
| kameryn stanhouse | PERSON | 1 | 📊 🔍 🧲 |
| marisa conway ibm | PERSON | 1 | 📊 🔍 🧲 |
| mexico | GPE | 1 | 📊 🔍 🧲 |
| more than onethird | CARDINAL | 1 | 📊 🔍 🧲 |
| morning consult | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| nearly half | CARDINAL | 1 | 📊 🔍 🧲 |
| nearly threequarters | DATE | 1 | 📊 🔍 🧲 |
| ny | GPE | 1 | 📊 🔍 🧲 |
| nyse | ORG | 1 | 📊 🔍 🧲 |
| olympics | EVENT | 1 | 📊 🔍 🧲 |
| platform choices expand news | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-08-24 04:01:00+00 | Sports |
|
IBM Study: Sports Fans Want Streamlined Digital Experiences as Platform Choices Expand | Analyze | IBM | 😐 neutral | 0.124 |