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
bluesky print
Articles
6
From
2026-08-28 15:24:06+00
To
2026-09-12 10:35:00+00
Range
2026-08-14 06:17:24.426069+00 →
2026-09-13 06:17:24.426069+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| bluesky print | PERSON | 6 | 📊 🔍 🧲 |
| email share | PERSON | 4 | 📊 🔍 🧲 |
| facebook share on bluesky opens | WORK_OF_ART | 4 | 📊 🔍 🧲 |
| opens | ORG | 4 | 📊 🔍 🧲 |
| print email | PERSON | 4 | 📊 🔍 🧲 |
| reddit share on x opens | WORK_OF_ART | 4 | 📊 🔍 🧲 |
| san jose | GPE | 4 | 📊 🔍 🧲 |
| trinity audio | ORG | 4 | 📊 🔍 🧲 |
| abby | PERSON | 3 | 📊 🔍 🧲 |
| asking eric | PERSON | 3 | 📊 🔍 🧲 |
| bay area news group | ORG | 3 | 📊 🔍 🧲 |
| harriette cole | PERSON | 3 | 📊 🔍 🧲 |
| bay area | LOC | 2 | 📊 🔍 🧲 |
| california | GPE | 2 | 📊 🔍 🧲 |
| covid | ORG | 2 | 📊 🔍 🧲 |
| english | NORP | 2 | 📊 🔍 🧲 |
| eric | PERSON | 2 | 📊 🔍 🧲 |
| house | ORG | 2 | 📊 🔍 🧲 |
| manners | PERSON | 2 | 📊 🔍 🧲 |
| meghan | PERSON | 2 | 📊 🔍 🧲 |
| mexican | NORP | 2 | 📊 🔍 🧲 |
| nyt | ORG | 2 | 📊 🔍 🧲 |
| pdt getting | ORG | 2 | 📊 🔍 🧲 |
| richmond | GPE | 2 | 📊 🔍 🧲 |
| uk | GPE | 2 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Technology | 1.8600 | 📊 🧲 |
| Business, Companies | 1.7800 | 📊 🧲 |
| Government | 0.8400 | 📊 🧲 |
| Civil Unrest, Conflict | 0.4800 | 📊 🧲 |
| Environment, Climate | 0.4000 | 📊 🧲 |
| Friends and Family | 0.2700 | 📊 🧲 |
| Entertainment | 0.2000 | 📊 🧲 |
| Food and Beverage | 0.1200 | 📊 🧲 |
| Other | 0.0300 | — |
Articles included
Top entities
Top sources
Top narrative frames