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
thetransmitter.org
Articles
2
From
2026-03-16 04:00:33+00
To
2026-03-19 04:00:29+00
Range
2026-02-24 17:51:18.36083+00 →
2026-03-26 17:51:18.36083+00
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Technology | 1.0900 | 📊 🧲 |
| Friends and Family | 0.4200 | 📊 🧲 |
| Health | 0.1600 | 📊 🧲 |
| Business, Companies | 0.1500 | 📊 🧲 |
| Political Theatre | 0.1200 | 📊 🧲 |
| Government | 0.0200 | 📊 🧲 |
| Civil Unrest, Conflict | 0.0100 | 📊 🧲 |
| Entertainment | 0.0100 | 📊 🧲 |
| Other | 0.0200 | — |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-03-19 04:00:29+00 | Science |
|
Frameshift: How Caitlin Vander Weele made science communication her business | Analyze | thetransmitter.org | 😐 neutral | 0.0 |
| 2026-03-16 04:00:33+00 | Health |
|
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential | Analyze | Amy Kuceyeski | 😐 neutral | 0.1242 |