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
3 trillion
Articles
1
From
2026-05-16 17:15:42+00
To
2026-05-16 17:15:42+00
Range
2026-05-15 02:30:37.660411+00 →
2026-05-22 02:30:37.660411+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 125 billion | MONEY | 1 | 📊 🔍 🧲 |
| 3 trillion | MONEY | 1 | 📊 🔍 🧲 |
| 35 trillion | MONEY | 1 | 📊 🔍 🧲 |
| 75 billion | MONEY | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| aj dybantsa | ORG | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| audio | PERSON | 1 | 📊 🔍 🧲 |
| audio audio | PERSON | 1 | 📊 🔍 🧲 |
| ben christensen ben | PERSON | 1 | 📊 🔍 🧲 |
| brigham young university | ORG | 1 | 📊 🔍 🧲 |
| business entertainment digital | ORG | 1 | 📊 🔍 🧲 |
| byu | ORG | 1 | 📊 🔍 🧲 |
| byung lee | PERSON | 1 | 📊 🔍 🧲 |
| clark asay | PERSON | 1 | 📊 🔍 🧲 |
| corsearch | ORG | 1 | 📊 🔍 🧲 |
| darryn peterson | PERSON | 1 | 📊 🔍 🧲 |
| disney | PERSON | 1 | 📊 🔍 🧲 |
| early last month | DATE | 1 | 📊 🔍 🧲 |
| elon university | ORG | 1 | 📊 🔍 🧲 |
| english | LANGUAGE | 1 | 📊 🔍 🧲 |
| eu | ORG | 1 | 📊 🔍 🧲 |
| gen z | PERSON | 1 | 📊 🔍 🧲 |
| gen z reports | PERSON | 1 | 📊 🔍 🧲 |
| guardian | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-05-16 17:15:42+00 | Entertainment |
|
Digital piracy is on the rise and the entertainment industry is losing billions | Analyze | Ben Christensen | 😐 neutral | 0.0281 |