Trends
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
linkedin bluesky
Articles
6
From
Fri, Sep 11 β’ 3:31 PM EDT
To
Fri, Oct 9 β’ 7:40 AM EDT
Range
Fri, Sep 11 β’ 1:38 PM EDT β
Sun, Oct 11 β’ 1:38 PM EDT
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| linkedin bluesky | PERSON | 6 | π π 𧲠|
| america | GPE | 3 | π π 𧲠|
| maine | GPE | 3 | π π 𧲠|
| activeduty personnel by | PRODUCT | 2 | π π 𧲠|
| ctrl | PERSON | 2 | π π 𧲠|
| donald trump | ORG | 2 | π π 𧲠|
| flip make | PERSON | 2 | π π 𧲠|
| google flip share facebook x | ORG | 2 | π π 𧲠|
| kyiv | PERSON | 2 | π π 𧲠|
| maine public | ORG | 2 | π π 𧲠|
| moscow | GPE | 2 | π π 𧲠|
| one | CARDINAL | 2 | π π 𧲠|
| over 24 million | MONEY | 2 | π π 𧲠|
| russia | GPE | 2 | π π 𧲠|
| russian | NORP | 2 | π π 𧲠|
| today | WORK_OF_ART | 2 | π π 𧲠|
| u.s. | GPE | 2 | π π 𧲠|
| ukraine | GPE | 2 | π π 𧲠|
| ukraine ukraine | GPE | 2 | π π 𧲠|
| ukrainian | NORP | 2 | π π 𧲠|
| ukrainians | NORP | 2 | π π 𧲠|
| zelensky | PERSON | 2 | π π 𧲠|
| 120 million | MONEY | 1 | π π 𧲠|
| 28 million | MONEY | 1 | π π 𧲠|
| 3 million | MONEY | 1 | π π 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 2.2900 | π 𧲠|
| Environment, Climate | 0.9900 | π 𧲠|
| Civil Unrest, Conflict | 0.8400 | π 𧲠|
| Technology | 0.6600 | π 𧲠|
| Political Theatre | 0.4200 | π 𧲠|
| Health | 0.3900 | π 𧲠|
| Friends and Family | 0.2000 | π 𧲠|
| Business, Companies | 0.1200 | π 𧲠|
| Other | 0.0300 | β |
Articles included
Top entities
Top sources
Top narrative frames