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
a few months later
Articles
1
From
2026-08-24 15:34:55+00
To
2026-08-24 15:34:55+00
Range
2026-08-09 13:16:29.613429+00 →
2026-09-08 13:16:29.613429+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| a few months later | DATE | 1 | 📊 🔍 🧲 |
| christopher cotton | PERSON | 1 | 📊 🔍 🧲 |
| copy | PERSON | 1 | 📊 🔍 🧲 |
| covid19 | ORG | 1 | 📊 🔍 🧲 |
| decades later | DATE | 1 | 📊 🔍 🧲 |
| department of economics | ORG | 1 | 📊 🔍 🧲 |
| economic financial policy | ORG | 1 | 📊 🔍 🧲 |
| email bluesky facebook | PERSON | 1 | 📊 🔍 🧲 |
| jarislowskydeutsch chair | PERSON | 1 | 📊 🔍 🧲 |
| jpal | PERSON | 1 | 📊 🔍 🧲 |
| limestone analytics | ORG | 1 | 📊 🔍 🧲 |
| linkedin x | PERSON | 1 | 📊 🔍 🧲 |
| nutrition international | ORG | 1 | 📊 🔍 🧲 |
| one | CARDINAL | 1 | 📊 🔍 🧲 |
| ontario | GPE | 1 | 📊 🔍 🧲 |
| policy evidence readiness levels | ORG | 1 | 📊 🔍 🧲 |
| queens university | ORG | 1 | 📊 🔍 🧲 |
| science trust evidence scientific | ORG | 1 | 📊 🔍 🧲 |
| share | PRODUCT | 1 | 📊 🔍 🧲 |
| the conversation ca | PRODUCT | 1 | 📊 🔍 🧲 |
| uk | GPE | 1 | 📊 🔍 🧲 |
| unsplashalexandra torro | ORG | 1 | 📊 🔍 🧲 |
| unsplashaustin distel | ORG | 1 | 📊 🔍 🧲 |
| unsplashelena leya | ORG | 1 | 📊 🔍 🧲 |
| unsplashjerry wang | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-08-24 15:34:55+00 | Science |
|
When to trust the experts? Follow these guidelines to evaluate science on any topic | Analyze | Christopher Cotton | 😐 neutral | 0.0554 |