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
fast company
Articles
2
From
2026-03-27 14:30:12+00
To
2026-03-28 11:00:25+00
Range
2026-03-21 23:20:51.238549+00 →
2026-03-28 23:20:51.238549+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ai | ORG | 2 | 📊 🔍 🧲 |
| fast company | ORG | 2 | 📊 🔍 🧲 |
| GPE | 2 | 📊 🔍 🧲 | |
| one | CARDINAL | 2 | 📊 🔍 🧲 |
| tiktok | ORG | 2 | 📊 🔍 🧲 |
| academy award | ORG | 1 | 📊 🔍 🧲 |
| ai gregory | ORG | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| authenticity | ORG | 1 | 📊 🔍 🧲 |
| bbc | ORG | 1 | 📊 🔍 🧲 |
| bluesky | GPE | 1 | 📊 🔍 🧲 |
| brookings institution | ORG | 1 | 📊 🔍 🧲 |
| california | GPE | 1 | 📊 🔍 🧲 |
| canadian | NORP | 1 | 📊 🔍 🧲 |
| daniel schiff | PERSON | 1 | 📊 🔍 🧲 |
| donald trump | PERSON | 1 | 📊 🔍 🧲 |
| english | LANGUAGE | 1 | 📊 🔍 🧲 |
| eric berger sat | PERSON | 1 | 📊 🔍 🧲 |
| fast company daily | ORG | 1 | 📊 🔍 🧲 |
| fast company fast company inspiring | ORG | 1 | 📊 🔍 🧲 |
| first | ORDINAL | 1 | 📊 🔍 🧲 |
| foster | PERSON | 1 | 📊 🔍 🧲 |
| gavin newsom | PERSON | 1 | 📊 🔍 🧲 |
| gen z | PERSON | 1 | 📊 🔍 🧲 |
| grail | PERSON | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 50.00 | 📊 📰 🧲 |
|
|
1 | 50.00 | 📊 📰 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-03-28 11:00:25+00 | Politics |
|
‘They feel true’: political deepfakes are growing in influence – even if people know they aren’t real | Analyze | Eric Berger | 😐 neutral | 0.0575 |
| 2026-03-27 14:30:12+00 | Business |
|
Your stereotypes about Gen Z aren’t just inaccurate. They’re hurting your business | Analyze | LinkedInEditors | 😐 neutral | 0.1522 |