Source profile
Business Insider
✓Mainstream tech business news and big-company coverage. Tracks platform wars, layoffs, strategy shifts, and consumer trends. Good for broad awareness and fast-moving stories. Often includes explainers and high-level analysis.
Official source: NoMainstream media: YesLast activity: 1h 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: 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.
7d
mainstream
Sample: 89Sample 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: 426Sample 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
14
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.
7d
89was 117
▼ 24% (corpus -10%)
Sample: 89Sample 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
426was 22
▲ 1836% (corpus +38%)
Sample: 426Sample 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
- 100.0%
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.
7d
- Active days
- 7
- Dated share
- 92.1%
Sample: 89Sample 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
- 30
- Dated share
- 93.0%
Sample: 426Sample 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
AI69%
Business65%
Startups32%
Regulation16%
Cloud8%
Sample: 89Sample 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
Business72%
AI68%
Startups32%
Regulation13%
Security12%
Sample: 426Sample 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
News reporting61%
Untyped16%
Announcement14%
Analysis5%
Breaking news3%
Other2%
Sample: 89Sample 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
News reporting51%
Announcement23%
Untyped15%
Analysis6%
Breaking news3%
Other3%
Sample: 426Sample 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
Positive40%
Mixed37%
Negative19%
Neutral4%
Net tone: Positive · 0.21
Sample: 68Sample 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
Positive40%
Mixed26%
Negative22%
Neutral12%
Net tone: Positive · 0.18
Sample: 348Sample 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
OpenAI11%
Elon Musk9%
Amazon8%
Anthropic8%
Alphabet5%
Sample: 89Sample 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
Meta13%
OpenAI11%
Anthropic9%
Apple5%
Elon Musk4%
Sample: 426Sample 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 15.7% · Unspecified 1.1%
US87%
__no_region__5%
EU4%
Sample: 77Sample 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 31.5% · Unspecified 0.7%
US90%
__no_region__5%
China2%
Sample: 292Sample 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
Others36%
Consumers30%
Investors23%
- Others+10.5pp vs baseline
- Consumers-13.8pp vs baseline
- Investors+11.2pp vs baseline
Sample: 89Sample 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
Consumers36%
Others23%
Developers17%
- Consumers-8.7pp vs baseline
- Others+4.4pp vs baseline
- Developers+3.6pp vs baseline
Sample: 426Sample 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
High67%
Medium28%
Low0%
Sample: 89Sample 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
High82%
Medium15%
Low0%
Sample: 426Sample 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
Medium53%
High37%
Low6%
Sample: 89Sample 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
Medium52%
High43%
Low1%
Sample: 426Sample 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
Accelerating79%
Early signal9%
Mature8%
Other0%
Sample: 89Sample 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
Accelerating81%
Mature8%
Early signal8%
Other0%
Sample: 426Sample 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 (13 of 20)
30d
114 rated (26.8% of coverage)
New Product49%
Software Release16%
Funding Round14%
Personnel Change14%
Acquisition8%
Sample: 114Sample 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.
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
81 rated (91.0% of coverage)
On record sources57%
Official announcement37%
Opinion5%
Analyst estimate1%
Sample: 81Sample 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
247 rated (58.0% of coverage)
On record sources52%
Official announcement41%
Opinion6%
Analyst estimate1%
Rumor or leak0%
Sample: 247Sample 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
84 rated (94.4% of coverage)
First report88%
Reaction or analysis8%
Follow up4%
Sample: 84Sample 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
253 rated (59.4% of coverage)
First report92%
Reaction or analysis5%
Follow up3%
Explainer or recap0%
Sample: 253Sample 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.
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