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
fitbit
Articles
2
From
2026-04-10 09:30:00+00
To
2026-05-02 11:01:00+00
Range
2026-04-03 10:41:41.399779+00 →
2026-05-03 10:41:41.399779+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ai | ORG | 2 | 📊 🔍 🧲 |
| apple | ORG | 2 | 📊 🔍 🧲 |
| fitbit | NORP | 2 | 📊 🔍 🧲 |
| hipaa | ORG | 2 | 📊 🔍 🧲 |
| agrawal | PRODUCT | 1 | 📊 🔍 🧲 |
| airpods pro 3 | PRODUCT | 1 | 📊 🔍 🧲 |
| android | ORG | 1 | 📊 🔍 🧲 |
| anthropics claude | ORG | 1 | 📊 🔍 🧲 |
| apple watch | ORG | 1 | 📊 🔍 🧲 |
| apple watch series | ORG | 1 | 📊 🔍 🧲 |
| applecnet temperature | ORG | 1 | 📊 🔍 🧲 |
| barrios | PRODUCT | 1 | 📊 🔍 🧲 |
| claude | PRODUCT | 1 | 📊 🔍 🧲 |
| comment loader save story save | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| duke university | ORG | 1 | 📊 🔍 🧲 |
| ecg | ORG | 1 | 📊 🔍 🧲 |
| facebook instagram | ORG | 1 | 📊 🔍 🧲 |
| fda | ORG | 1 | 📊 🔍 🧲 |
| garmin | ORG | 1 | 📊 🔍 🧲 |
| gauri agarwal | PERSON | 1 | 📊 🔍 🧲 |
| gave me terrible advice metas | ORG | 1 | 📊 🔍 🧲 |
| goodman | ORG | 1 | 📊 🔍 🧲 |
| ORG | 1 | 📊 🔍 🧲 | |
| hrv | ORG | 1 | 📊 🔍 🧲 |
| hypertension | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-05-02 11:01:00+00 | Health |
|
Where to Wear Your Fitness Tracker for the Most Accurate Health Data | Analyze | @CNET | 😐 neutral | 0.2121 |
| 2026-04-10 09:30:00+00 | Health |
|
Meta’s New AI Asked for My Raw Health Data—and Gave Me Terrible Advice | Analyze | Reece Rogers | 😐 neutral | 0.1438 |