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
about 2
Articles
2
From
2026-05-28 10:03:13+00
To
2026-05-29 01:33:10+00
Range
2026-05-23 14:42:52.899444+00 →
2026-05-30 14:42:52.899444+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| about 2 | CARDINAL | 2 | 📊 🔍 🧲 |
| about 3 | CARDINAL | 2 | 📊 🔍 🧲 |
| adrian hon | PERSON | 2 | 📊 🔍 🧲 |
| american | NORP | 2 | 📊 🔍 🧲 |
| americans | NORP | 2 | 📊 🔍 🧲 |
| ap | ORG | 2 | 📊 🔍 🧲 |
| blumenthal | PERSON | 2 | 📊 🔍 🧲 |
| coffeezilla | NORP | 2 | 📊 🔍 🧲 |
| damian lillard | PERSON | 2 | 📊 🔍 🧲 |
| findeisen | PERSON | 2 | 📊 🔍 🧲 |
| fliff | ORG | 2 | 📊 🔍 🧲 |
| jack such | PERSON | 2 | 📊 🔍 🧲 |
| jason levin | PERSON | 2 | 📊 🔍 🧲 |
| jenny kane | PERSON | 2 | 📊 🔍 🧲 |
| kalshi | PERSON | 2 | 📊 🔍 🧲 |
| katie britt | PERSON | 2 | 📊 🔍 🧲 |
| levin | PERSON | 2 | 📊 🔍 🧲 |
| memelord technologies | ORG | 2 | 📊 🔍 🧲 |
| meta | ORG | 2 | 📊 🔍 🧲 |
| nba | ORG | 2 | 📊 🔍 🧲 |
| one | CARDINAL | 2 | 📊 🔍 🧲 |
| ore | GPE | 2 | 📊 🔍 🧲 |
| paris woods | ORG | 2 | 📊 🔍 🧲 |
| pew research center | ORG | 2 | 📊 🔍 🧲 |
| polymarket | PERSON | 2 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-05-29 01:33:10+00 | Sports |
|
Gamification and memes lure young people to sports wagering apps, prediction markets | Analyze | Kaitlyn Huamani, Associated Press | 😐 neutral | 0.1107 |
| 2026-05-28 10:03:13+00 | Sports |
|
Gamification and memes lure young people to sports wagering apps, prediction markets | Analyze | KAITLYN HUAMANI — AP Technology Writer | 😐 neutral | 0.1173 |