Source profile
The Washington Post
✓Major US newsroom with technology and policy coverage. Good for regulation, platform accountability, and business impact. Often includes investigative and narrative reporting. Useful for US-centric tech policy context.
Official source: NoMainstream media: YesLast activity: 10h ago
20 items analyzedVisit site ↗
Insights Metrics v2
Metric board
Publisher typeWhether the publisher is an official company channel or a mainstream outlet. Best-effort editorial judgements, hand-set per source.
24h
mainstream
Sample: 2Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
7d
mainstream
Sample: 14Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
mainstream
Sample: 62Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Articles publishedThe number of final articles from this source whose event date falls in the window, with the change from the previous window. Counts what we collected; sources run on different schedules.
24h
2
Sample: 2Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
7d
14was 17
Not enough data for a change figure
Sample: 14Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
62was 6
Not enough data for a change figure
Sample: 62Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Active daysThe number of days in the window with at least one final article from this source. For sources that rarely expose a publish date, this is based on collection date.
24h
- Active days
- 1
- Dated share
- 0.0%
Sample: 2Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
7d
- Active days
- 5
- Dated share
- 0.0%
Sample: 14Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
- Active days
- 25
- Dated share
- 0.0%
Sample: 62Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Topic mixThe five categories that appear most often in the source's final articles. Same generous multi-labelling as E7.
24h
Not enough data
not offered for this window
7d
Not enough data
not enough data (14 of 20)
30d
AI73%
Business50%
Regulation40%
Security26%
Cloud3%
Sample: 62Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Content-type mixWhat kind of pieces the source publishes. Coarse AI labels - labelled 'AI-classified article type'.
24h
Not enough data
not offered for this window
7d
Not enough data
not enough data (14 of 20)
30d
News reporting42%
Untyped23%
Announcement18%
Breaking news11%
Analysis7%
Other0%
Sample: 62Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Tone mix and net toneThe distribution of article-level sentiment in the source's final articles, plus net tone. Official channels are self-promotional by nature.
24h
Not enough data
not offered for this window
7d
Not enough data
not enough data (8 of 20)
30d
Neutral38%
Negative33%
Positive16%
Mixed13%
Net tone: Negative · -0.18
Sample: 45Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Most-covered entitiesThe top 5 linked entities in the source's final articles. Catalog gaps and disabled forms under-count.
24h
Not enough data
not offered for this window
7d
Not enough data
not enough data (14 of 20)
30d
OpenAI14%
Anthropic13%
Apple3%
ChatGPT3%
Elon Musk3%
Sample: 62Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Regional focusWhich parts of the world this source's coverage concerns. The AI's reading of the article's geography, not the outlet's country of registration.
24h
Not enough data
not offered for this window
7d
Global 21.4% · Unspecified 0.0%
US91%
Canada9%
Sample: 11Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
30d
Global 33.9% · Unspecified 1.6%
US91%
Canada2%
China2%
Sample: 42Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Audiences coveredWhich audiences this source's articles say are affected. Consumers is the corpus default; read every number as a deviation from it.
24h
Not enough data
not offered for this window
7d
Not enough data
not enough data (14 of 20)
30d
Governments48%
Consumers27%
Developers16%
- Governments+37.7pp vs baseline
- Consumers-17.2pp vs baseline
- Developers+2.3pp vs baseline
Sample: 62Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Sourcing-strength mixHow often the AI judged an article's own sourcing to be strong versus thin, for this outlet's articles. The model's assessment of one article's sourcing, made without browsing. Never a publisher reliability or trust score, never used to rank sources.
24h
Not enough data
not offered for this window
7d
Not enough data
not enough data (14 of 20)
30d
High58%
Medium40%
Low2%
Sample: 62Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Confidence mixHow sure the model was about its own reading of each article. Uncalibrated self-confidence, descriptive only.
24h
Not enough data
not offered for this window
7d
Not enough data
not enough data (14 of 20)
30d
Medium76%
High23%
Low2%
Sample: 62Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Stance profileWhere the stories sit in a trend's life - accelerating, mature, or an early signal. An AI reading of the article's framing, not a market judgement.
24h
Not enough data
not offered for this window
7d
Not enough data
not enough data (14 of 20)
30d
Accelerating74%
Early signal19%
Mature5%
Other2%
Sample: 62Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Event types coveredWhich kinds of events this outlet reports on. Same 2026-08-10 start date and New-Product skew as E12.
24h
Not enough data
not offered for this window
7d
Not enough data
not enough data (0 of 20)
30d
Not enough data
not enough data (1 of 20)
Evidence-basis mixHow much of this outlet's coverage is built on official confirmation versus rumor, anonymous sourcing, or opinion. Correlated with the outlet's beat, never used as a trust ranking.
24h
Not enough data
not offered for this window
7d
Not enough data
not enough data (13 of 20)
30d
38 rated (61.3% of coverage)
Official announcement40%
On record sources37%
Opinion18%
Anonymous sources3%
Rumor or leak3%
Sample: 38Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Story-phase mixWhether this outlet mostly breaks stories first or mostly follows up, reacts, and explains. Orthogonal to S5's content-type mix by prompt design.
24h
Not enough data
not offered for this window
7d
Not enough data
not enough data (13 of 20)
30d
40 rated (64.5% of coverage)
First report100%
Sample: 40Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.
Latest coverage
Business
Trump steers nearly $7B to shipbuilding in deal with weapons maker Anduril
News reporting10h
AIRegulation
They told the world AI was dangerous. Now Trump’s allies are coming for them.
Article22h
AIRegulation
Tech workers who resigned tell New York City Council that AI is moving too fast
Article1d
RegulationSecurity
A police search using Flock was a form of ‘mass surveillance,’ judge rules
Article4d