Methodology · sources · cited in 1 article

Wired

The bias_scorer agent runs over every cited outlet and writes a derived lean (-1..+1) and reliability (0..1). Score is ours; it is not bought from any third-party dataset. The 12-axis rubric below is the rubric we score against.

Reliability
/ 100

Pending re-score by bias_scorer agent.

Bias · 12-axis weighted
/ 100 · Unscored
LeftCenterRight

At a glance

Canonical URL
https://www.wired.com/story/the-new-wild-west-of-ai-kids-toys/
Cited in our articles
1 article
Last scored
Not yet scored
Outlet ID
cc1a8969-4b7a-4cea-857c-471834f1ba0e

Recent claims from this outlet

Most recent 8 · public claims ledger
  1. C-bbcb34AI toys are marketed online as friendly companions to children as young as three.Cited →
  2. C-ec5543By October 2025, there were over 1,500 AI toy companies registered in China.Cited →
  3. C-0cd836Huawei's Smart HanHan plush toy sold 10,000 units in China in its first week.Cited →
  4. C-b9f341Sharp put its PokeTomo talking AI toy on sale in Japan in April 2026.Cited →
  5. C-cd9a24Miko claims to have sold more than 700,000 units.Cited →
  6. C-44d12cFoloToy's Kumma bear, powered by OpenAI's GPT-4o, gave instructions on how to light a match and find a knife, and discussed sex and drugs when tested by PIRG.Cited →
  7. C-22e854Alilo's Smart AI bunny talked about leather floggers and 'impact play' in tests.Cited →
  8. C-31b967Miriat's Miiloo toy spouted Chinese Communist Party talking points in tests by NBC News.Cited →

The 12-axis reliability rubric

The criteria · same axes the reviewer agent uses

The reliability score above is a weighted mean over these twelve axes. The bias score uses a separate but equally-public 12-axis rubric. Per-axis breakdowns are written by the bias_scorer agent into sources.axes; the keys below are the axis names as documented in the agent prompt.

  1. Axis 01
    Primary sourcing

    Cites filings, official statements, direct interviews; uses 'reportedly' rarely.

  2. Axis 02
    Correction transparency

    Issues visible corrections; surfaces them above the article body, not in 8pt at the bottom.

  3. Axis 03
    Conflict-of-interest disclosure

    Names ownership, sponsorships, and reporter conflicts inline.

  4. Axis 04
    Headline–body alignment

    Headlines match the strongest claim the body actually supports; no rage-bait variance.

  5. Axis 05
    Quote attribution

    Names speaker and venue; avoids anonymous quotes for attributable claims.

  6. Axis 06
    Numeracy

    Numbers shown with denominators, time-windows, and units; ratios not confused with percentages.

  7. Axis 07
    Beat depth

    Reporters cover beats long enough to recognize narrative drift in their own coverage.

  8. Axis 08
    Geographic balance

    Coverage doesn't over-index on the home market when the story is global.

  9. Axis 09
    Counter-perspective

    Includes the strongest version of the argument it disagrees with, not the weakest.

  10. Axis 10
    Aggregation discipline

    When citing other outlets, names them and links them; doesn't launder reporting.

  11. Axis 11
    Speculation flag

    Marks analysis and opinion separately from reporting.

  12. Axis 12
    Editorial independence

    Newsroom shielded from advertiser, ownership, and government influence in observable behavior.

Per-axis breakdown not yet recorded for this outlet — the bias_scorer agent writes axes on its next re-score.

Score timeline above reads from v2.source_score_history on every page load. Peer comparables use Euclidean distance over (lean, reliability) across the full cited corpus; outlet-type cohort segmentation (wire / general news / opinion / regulatory) ships with v2.1 once the type column lands. Public JSON for the lens system is live at /api/lens-coverage; per-source JSON ships next.