Text & Content Analysis

Context: entity (embed url submit δ tagged)  |  Window: 24h · 7d · 30d  |  Corpus: 1 articles

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.

Corpus KPIs

Entity
embed url submit δ tagged
Window
Last 30 days
Articles
1
From
2026-09-04 22:37:02+00
To
2026-09-04 22:37:02+00
Range
2026-08-06 08:08:02.971282+00 → 2026-09-05 08:08:02.971282+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
abacus ai PERSON 1 📊 🔍 🧲
ai ORG 1 📊 🔍 🧲
aigrisham ORG 1 📊 🔍 🧲
alameda county GPE 1 📊 🔍 🧲
american association of political consultants foundation ORG 1 📊 🔍 🧲
americans NORP 1 📊 🔍 🧲
anthropics claude ai PERSON 1 📊 🔍 🧲
barbara lee PERSON 1 📊 🔍 🧲
batman PERSON 1 📊 🔍 🧲
bay area LOC 1 📊 🔍 🧲
berkeley GPE 1 📊 🔍 🧲
brenda grisham PERSON 1 📊 🔍 🧲
california GPE 1 📊 🔍 🧲
canva PERSON 1 📊 🔍 🧲
city council ORG 1 📊 🔍 🧲
city hall ORG 1 📊 🔍 🧲
council ORG 1 📊 🔍 🧲
d6 CARDINAL 1 📊 🔍 🧲
darwin bondgraham PERSON 1 📊 🔍 🧲
democrat NORP 1 📊 🔍 🧲
earlier this summer DATE 1 📊 🔍 🧲
east bay LOC 1 📊 🔍 🧲
east oakland GPE 1 📊 🔍 🧲
embed url submit δ tagged ORG 1 📊 🔍 🧲
europe LOC 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
oaklandside.org 1 100.00 📊 📰 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.4600 📊 🧲
Government 0.2600 📊 🧲
Technology 0.0900 📊 🧲
Civil Unrest, Conflict 0.0600 📊 🧲
Political Theatre 0.0500 📊 🧲
Entertainment 0.0300 📊 🧲
Environment, Climate 0.0300 📊 🧲
Friends and Family 0.0200 📊 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-04 22:37:02+00 Politics oaklandside.org AI-generated ads have come to Oakland politics. Accessible solution Analyze Natalie Orenstein 😐 neutral 0.0831