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
Publisher
scmp.com
Articles
23
From
2026-08-14 11:00:10+00
To
2026-09-09 23:09:49+00
Range
2026-08-12 08:58:49.834897+00 →
2026-09-11 08:58:49.834897+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| china | GPE | 15 | 📊 🔍 🧲 |
| chinese | NORP | 15 | 📊 🔍 🧲 |
| beijing | GPE | 11 | 📊 🔍 🧲 |
| u.s. | GPE | 9 | 📊 🔍 🧲 |
| ai | ORG | 6 | 📊 🔍 🧲 |
| donald trump | PERSON | 5 | 📊 🔍 🧲 |
| hong kong | GPE | 5 | 📊 🔍 🧲 |
| min | ORG | 4 | 📊 🔍 🧲 |
| shanghai | GPE | 4 | 📊 🔍 🧲 |
| hong kongs | GPE | 3 | 📊 🔍 🧲 |
| this week | DATE | 3 | 📊 🔍 🧲 |
| washington | GPE | 3 | 📊 🔍 🧲 |
| advertisement artificial | PERSON | 2 | 📊 🔍 🧲 |
| anwar ibrahim | PERSON | 2 | 📊 🔍 🧲 |
| malaysia | GPE | 2 | 📊 🔍 🧲 |
| physical review letters | ORG | 2 | 📊 🔍 🧲 |
| scmp | ORG | 2 | 📊 🔍 🧲 |
| the united states | GPE | 2 | 📊 🔍 🧲 |
| this year | DATE | 2 | 📊 🔍 🧲 |
| three | CARDINAL | 2 | 📊 🔍 🧲 |
| victoria bela | PERSON | 2 | 📊 🔍 🧲 |
| west | LOC | 2 | 📊 🔍 🧲 |
| abdul hadi awang | PERSON | 1 | 📊 🔍 🧲 |
| accountability lab nepal | ORG | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Technology | 6.0400 | 📊 🧲 |
| Environment, Climate | 5.5900 | 📊 🧲 |
| Business, Companies | 2.8300 | 📊 🧲 |
| Government | 2.5600 | 📊 🧲 |
| Civil Unrest, Conflict | 1.3800 | 📊 🧲 |
| Political Theatre | 1.1000 | 📊 🧲 |
| Food and Beverage | 0.9800 | 📊 🧲 |
| Friends and Family | 0.9700 | 📊 🧲 |
| Other | 1.4300 | — |
Articles included
Top entities
Top sources
Top narrative frames