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
glp-1
Articles
10
From
2026-05-19 04:00:30+00
To
2026-06-16 12:41:00+00
Range
2026-05-18 02:13:57.53201+00 →
2026-06-17 02:13:57.53201+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| glp1 | PRODUCT | 10 | 📊 🔍 🧲 |
| wegovy | WORK_OF_ART | 5 | 📊 🔍 🧲 |
| glp1s | PERSON | 3 | 📊 🔍 🧲 |
| zepbound | PERSON | 3 | 📊 🔍 🧲 |
| ai | ORG | 2 | 📊 🔍 🧲 |
| americans | NORP | 2 | 📊 🔍 🧲 |
| california | GPE | 2 | 📊 🔍 🧲 |
| cms | ORG | 2 | 📊 🔍 🧲 |
| editorial standards reprints permissions | ORG | 2 | 📊 🔍 🧲 |
| eli lilly | ORG | 2 | 📊 🔍 🧲 |
| md | GPE | 2 | 📊 🔍 🧲 |
| michael silukucguniversal images group | PERSON | 2 | 📊 🔍 🧲 |
| ozempic | PERSON | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| ucguniversal images group | ORG | 2 | 📊 🔍 🧲 |
| va | GPE | 2 | 📊 🔍 🧲 |
| 240 billion | MONEY | 1 | 📊 🔍 🧲 |
| 299 to 449 | MONEY | 1 | 📊 🔍 🧲 |
| 306 million | MONEY | 1 | 📊 🔍 🧲 |
| 7 million | MONEY | 1 | 📊 🔍 🧲 |
| a few months later | DATE | 1 | 📊 🔍 🧲 |
| a1c | ORG | 1 | 📊 🔍 🧲 |
| about 1 million | MONEY | 1 | 📊 🔍 🧲 |
| about one | CARDINAL | 1 | 📊 🔍 🧲 |
| advertisement boss | PERSON | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Technology | 4.7200 | 📊 🧲 |
| Health | 1.8100 | 📊 🧲 |
| Government | 1.8100 | 📊 🧲 |
| Business, Companies | 0.7900 | 📊 🧲 |
| Political Theatre | 0.3000 | 📊 🧲 |
| Food and Beverage | 0.2300 | 📊 🧲 |
| Civil Unrest, Conflict | 0.1700 | 📊 🧲 |
| Environment, Climate | 0.0500 | 📊 🧲 |
| Other | 0.0300 | — |
Articles included
Top entities
Top sources
Top narrative frames