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.
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ai | ORG | 2 | π π π§² |
| amazon | ORG | 2 | π π π§² |
| americans | NORP | 2 | π π π§² |
| bitcoin | PERSON | 2 | π π π§² |
| china | GPE | 2 | π π π§² |
| claire zillman | PERSON | 2 | π π π§² |
| daily | PERSON | 2 | π π π§² |
| diane brady | PERSON | 2 | π π π§² |
| europe | LOC | 2 | π π π§² |
| fortune | WORK_OF_ART | 2 | π π π§² |
| ftse | ORG | 2 | π π π§² |
| hong kongs | GPE | 2 | π π π§² |
| india | GPE | 2 | π π π§² |
| japan | GPE | 2 | π π π§² |
| jason ma | PERSON | 2 | π π π§² |
| joseph abrams | PERSON | 2 | π π π§² |
| lee clifford | PERSON | 2 | π π π§² |
| meta | ORG | 2 | π π π§² |
| nifty | ORG | 2 | π π π§² |
| south koreas | GPE | 2 | π π π§² |
| uk | GPE | 2 | π π π§² |
| 17 billion | MONEY | 1 | π π π§² |
| 40 trillion | MONEY | 1 | π π π§² |
| 6 trillion | MONEY | 1 | π π π§² |
| about half | CARDINAL | 1 | π π π§² |
| Frame | Weight | Actions |
|---|---|---|
| Government | 0.6900 | π π§² |
| Business, Companies | 0.4500 | π π§² |
| Technology | 0.4400 | π π§² |
| Environment, Climate | 0.1900 | π π§² |
| Health | 0.1000 | π π§² |
| Food and Beverage | 0.0300 | π π§² |
| Political Theatre | 0.0300 | π π§² |
| Civil Unrest, Conflict | 0.0300 | π π§² |
| Other | 0.0300 | β |
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-10-01 09:36:51+00 | Politics |
|
Americans are tired of CEOs lecturing them on politics | Analyze | Phil Wahba | π neutral | 0.0451 |
| 2026-09-24 09:30:25+00 | Health |
|
A $499 checkup gave me a peek at the future of AI-powered health care | Analyze | Diane Brady | π neutral | 0.1291 |