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 |
|---|---|---|---|
| alibaba | GPE | 2 | π π π§² |
| asia | LOC | 2 | π π π§² |
| china | GPE | 2 | π π π§² |
| cnn | ORG | 2 | π π π§² |
| facebook tweet email link threads link copied | WORK_OF_ART | 2 | π π π§² |
| 221 million | MONEY | 1 | π π π§² |
| 528 million | MONEY | 1 | π π π§² |
| amazon | ORG | 1 | π π π§² |
| american | NORP | 1 | π π π§² |
| americans | NORP | 1 | π π π§² |
| asia china see | LOC | 1 | π π π§² |
| baltimore | GPE | 1 | π π π§² |
| beijing | GPE | 1 | π π π§² |
| between five to 10 | CARDINAL | 1 | π π π§² |
| bytedances douyin | ORG | 1 | π π π§² |
| chang | PERSON | 1 | π π π§² |
| china quality daily | ORG | 1 | π π π§² |
| chinamaxxing | WORK_OF_ART | 1 | π π π§² |
| chinese | NORP | 1 | π π π§² |
| cnn construction | ORG | 1 | π π π§² |
| cnn importing | ORG | 1 | π π π§² |
| cnn mueller | PERSON | 1 | π π π§² |
| cnn tsygan | ORG | 1 | π π π§² |
| cody sourcing | PERSON | 1 | π π π§² |
| constructing | GPE | 1 | π π π§² |
| Frame | Weight | Actions |
|---|---|---|
| Environment, Climate | 0.5700 | π π§² |
| Technology | 0.5000 | π π§² |
| Government | 0.4200 | π π§² |
| Civil Unrest, Conflict | 0.1300 | π π§² |
| Business, Companies | 0.1000 | π π§² |
| Political Theatre | 0.1000 | π π§² |
| Food and Beverage | 0.1000 | π π§² |
| Friends and Family | 0.0700 | π π§² |
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-04-25 11:00:51+00 | Business |
|
Tired of high costs, some Americans are importing homes straight from China | Analyze | Ramishah Maruf | π neutral | 0.0381 |
| 2026-04-22 00:59:32+00 | Business |
|
How one disappointing order uncovered a massive βghost cakeβ delivery scandal in China | Analyze | John Liu | βΉοΈ negative | -0.0662 |