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
tesla
Articles
6
From
Tue, Sep 1 β’ 8:56 PM EDT
To
Mon, Sep 21 β’ 5:36 PM EDT
Range
Wed, Aug 26 β’ 8:25 PM EDT β
Fri, Sep 25 β’ 8:25 PM EDT
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| tesla | ORG | 6 | π π 𧲠|
| texas | GPE | 4 | π π 𧲠|
| ai | ORG | 3 | π π 𧲠|
| austin | GPE | 3 | π π 𧲠|
| san francisco | GPE | 3 | π π 𧲠|
| california | GPE | 2 | π π 𧲠|
| cnn | ORG | 2 | π π 𧲠|
| cybercab | GPE | 2 | π π 𧲠|
| democrat | NORP | 2 | π π 𧲠|
| harris | PERSON | 2 | π π 𧲠|
| los angeles | GPE | 2 | π π 𧲠|
| musk | PERSON | 2 | π π 𧲠|
| one | CARDINAL | 2 | π π 𧲠|
| republicans | NORP | 2 | π π 𧲠|
| san franciscos | GPE | 2 | π π 𧲠|
| today | DATE | 2 | π π 𧲠|
| 1 million | MONEY | 1 | π π 𧲠|
| a couple of months earlier | DATE | 1 | π π 𧲠|
| abacus ai | PERSON | 1 | π π 𧲠|
| adam wollner | PERSON | 1 | π π 𧲠|
| adam wollner trump | PERSON | 1 | π π 𧲠|
| aigrisham | ORG | 1 | π π 𧲠|
| alameda county | GPE | 1 | π π 𧲠|
| amazon | ORG | 1 | π π 𧲠|
| american association of political consultants foundation | ORG | 1 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 16.67 | π π° 𧲠|
|
|
1 | 16.67 | π π° 𧲠|
|
|
1 | 16.67 | π π° 𧲠|
|
|
1 | 16.67 | π π° 𧲠|
|
|
1 | 16.67 | π π° 𧲠|
|
|
1 | 16.67 | π π° 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 1.9800 | π 𧲠|
| Technology | 1.6100 | π 𧲠|
| Business, Companies | 1.2100 | π 𧲠|
| Environment, Climate | 0.6200 | π 𧲠|
| Political Theatre | 0.2500 | π 𧲠|
| Civil Unrest, Conflict | 0.1800 | π 𧲠|
| Entertainment | 0.0900 | π 𧲠|
| Health | 0.0400 | π 𧲠|
| Other | 0.0200 | β |
Articles included
Top entities
Top sources
Top narrative frames