Methodology · sources · cited in 1 article

Aaj Tak (HI)

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.aajtak.in/india/politics/story/thalapathy-vijay-tamil-nadu-election-government-formation-challenges-ntc-amkr-iwth-rptc-2546986-2026-05-08
Cited in our articles
1 article
Last scored
Not yet scored
Outlet ID
0aacdd4f-e7bf-4e4a-9629-bb4d3616bf9d

Recent claims from this outlet

Most recent 8 · public claims ledger
  1. C-e51c6bThe Tamil Nadu Legislative Assembly has 234 members.Cited →
  2. C-2d3d66A majority in the Tamil Nadu Legislative Assembly requires 118 MLAs.Cited →
  3. C-3cc22eThalapathy Vijay's party TVK won 108 seats in the 2026 Tamil Nadu assembly election.Cited →
  4. C-25b3cfTVK is 10 seats short of the majority mark of 118.Cited →
  5. C-2cc916Governor Rajendra Arlekar has not invited Vijay to form the government as of the article's publication.Cited →
  6. C-7ac013Vijay has been turned away twice by the Governor.Cited →
  7. C-df516cSenior advocate Vikas Singh stated that the main obstacle is that Vijay has not claimed to form the government as the single largest party.Cited →
  8. C-0df66cVijay is seeking to form a government with the support of Congress (5 MLAs) and other MLAs, totaling 113, which is below 118.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.