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
geneva
Articles
6
From
2026-08-21 05:12:31+00
To
2026-09-13 08:00:17+00
Range
2026-08-14 16:20:11.490856+00 →
2026-09-13 16:20:11.490856+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| geneva | GPE | 6 | 📊 🔍 🧲 |
| switzerland | GPE | 3 | 📊 🔍 🧲 |
| who | ORG | 3 | 📊 🔍 🧲 |
| africa | LOC | 2 | 📊 🔍 🧲 |
| ai | ORG | 2 | 📊 🔍 🧲 |
| asia | LOC | 2 | 📊 🔍 🧲 |
| bluesky share | PERSON | 2 | 📊 🔍 🧲 |
| covid19 | ORG | 2 | 📊 🔍 🧲 |
| facebook print | PERSON | 2 | 📊 🔍 🧲 |
| india | GPE | 2 | 📊 🔍 🧲 |
| linkedin share on facebook opens | ORG | 2 | 📊 🔍 🧲 |
| new york | GPE | 2 | 📊 🔍 🧲 |
| print share on bluesky opens | WORK_OF_ART | 2 | 📊 🔍 🧲 |
| south | LOC | 2 | 📊 🔍 🧲 |
| un | ORG | 2 | 📊 🔍 🧲 |
| united nations | ORG | 2 | 📊 🔍 🧲 |
| PERSON | 2 | 📊 🔍 🧲 | |
| whatsapp combat | PERSON | 2 | 📊 🔍 🧲 |
| 101 billion | MONEY | 1 | 📊 🔍 🧲 |
| 171 billion | MONEY | 1 | 📊 🔍 🧲 |
| 195 million | MONEY | 1 | 📊 🔍 🧲 |
| 2 billion | MONEY | 1 | 📊 🔍 🧲 |
| 2432 million | MONEY | 1 | 📊 🔍 🧲 |
| 327 billion | MONEY | 1 | 📊 🔍 🧲 |
| 35 billion | MONEY | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
2 | 33.33 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Health | 1.0400 | 📊 🧲 |
| Technology | 1.0000 | 📊 🧲 |
| Government | 0.9400 | 📊 🧲 |
| Business, Companies | 0.9300 | 📊 🧲 |
| Environment, Climate | 0.6000 | 📊 🧲 |
| Friends and Family | 0.5400 | 📊 🧲 |
| Civil Unrest, Conflict | 0.5300 | 📊 🧲 |
| Food and Beverage | 0.1300 | 📊 🧲 |
| Other | 0.2100 | — |
Articles included
Top entities
Top sources
Top narrative frames