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
daniel schiff
Articles
2
From
2026-03-28 11:00:25+00
To
2026-03-28 14:03:41+00
Range
2026-02-26 23:45:44.647778+00 →
2026-03-28 23:45:44.647778+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| donald trump | PERSON | 4 | 📊 🔍 🧲 |
| ai | ORG | 2 | 📊 🔍 🧲 |
| california | GPE | 2 | 📊 🔍 🧲 |
| daniel schiff | PERSON | 2 | 📊 🔍 🧲 |
| democrats | NORP | 2 | 📊 🔍 🧲 |
| gavin newsom | PERSON | 2 | 📊 🔍 🧲 |
| ORG | 2 | 📊 🔍 🧲 | |
| meta | ORG | 2 | 📊 🔍 🧲 |
| one | CARDINAL | 2 | 📊 🔍 🧲 |
| purdue university | ORG | 2 | 📊 🔍 🧲 |
| abigail spanberger | PERSON | 1 | 📊 🔍 🧲 |
| ai gregory | ORG | 1 | 📊 🔍 🧲 |
| ai with | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| authenticity | ORG | 1 | 📊 🔍 🧲 |
| bbc | ORG | 1 | 📊 🔍 🧲 |
| brady smith | PERSON | 1 | 📊 🔍 🧲 |
| brookings institution | ORG | 1 | 📊 🔍 🧲 |
| collins | PERSON | 1 | 📊 🔍 🧲 |
| congress | ORG | 1 | 📊 🔍 🧲 |
| cornyn | PERSON | 1 | 📊 🔍 🧲 |
| days | DATE | 1 | 📊 🔍 🧲 |
| english | LANGUAGE | 1 | 📊 🔍 🧲 |
| eric berger sat | 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 14:03:41+00 | Politics |
|
AI deepfakes blur reality in 2026 U.S. midterm campaigns | Analyze | Joseph Ax and Helen Coster, The Detroit News | 😐 neutral | 0.1328 |
| 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 |