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
threads share
Articles
7
From
2026-08-19 10:00:59+00
To
2026-09-13 17:35:28+00
Range
2026-08-16 00:28:44.832739+00 →
2026-09-15 00:28:44.832739+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| bluesky share | PERSON | 7 | 📊 🔍 🧲 |
| threads share | PERSON | 7 | 📊 🔍 🧲 |
| ct | ORG | 6 | 📊 🔍 🧲 |
| facebook share on bluesky opens | WORK_OF_ART | 6 | 📊 🔍 🧲 |
| trinity audio | ORG | 6 | 📊 🔍 🧲 |
| connecticut | GPE | 5 | 📊 🔍 🧲 |
| donald trump | PERSON | 4 | 📊 🔍 🧲 |
| uconn | GPE | 4 | 📊 🔍 🧲 |
| canada | GPE | 3 | 📊 🔍 🧲 |
| hartford courant | PERSON | 3 | 📊 🔍 🧲 |
| kevin rennie | PERSON | 3 | 📊 🔍 🧲 |
| ned lamont | PERSON | 3 | 📊 🔍 🧲 |
| aim | PERSON | 2 | 📊 🔍 🧲 |
| ct ct | ORG | 2 | 📊 🔍 🧲 |
| democrat | NORP | 2 | 📊 🔍 🧲 |
| lamont | PERSON | 2 | 📊 🔍 🧲 |
| new england | LOC | 2 | 📊 🔍 🧲 |
| new york | GPE | 2 | 📊 🔍 🧲 |
| NORP | 2 | 📊 🔍 🧲 | |
| republicans | NORP | 2 | 📊 🔍 🧲 |
| washington | GPE | 2 | 📊 🔍 🧲 |
| 1 billion | MONEY | 1 | 📊 🔍 🧲 |
| 275 million | MONEY | 1 | 📊 🔍 🧲 |
| 35m ct | MONEY | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
6 | 85.71 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Technology | 1.8700 | 📊 🧲 |
| Government | 1.3400 | 📊 🧲 |
| Environment, Climate | 1.3300 | 📊 🧲 |
| Business, Companies | 0.9600 | 📊 🧲 |
| Civil Unrest, Conflict | 0.4800 | 📊 🧲 |
| Friends and Family | 0.3600 | 📊 🧲 |
| Political Theatre | 0.2500 | 📊 🧲 |
| Food and Beverage | 0.2000 | 📊 🧲 |
| Other | 0.1700 | — |
Articles included
Top entities
Top sources
Top narrative frames