Methodology · sources · cited in 1 article

Prothom Alo (English)

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://en.prothomalo.com/bangladesh/crime-and-law/2gz6xekz8i
Cited in our articles
1 article
Last scored
Not yet scored
Outlet ID
ee061cf6-f37b-4a4c-adb1-83471f5ec9e8

Recent claims from this outlet

Most recent 8 · public claims ledger
  1. C-50fe98148 armed criminals are actively involved in extortion across Dhaka according to police records.Cited →
  2. C-3a1452A DMP list includes names of 1,280 extortionists active in Dhaka, of whom 148 are armed criminals.Cited →
  3. C-6182d4The highest numbers of armed extortionists are active in Gulshan, Badda and Rampura areas according to the DMP list.Cited →
  4. C-4168afCriminals collect nearly Tk 300,000 in extortion daily from a fish market in the DIT Project area of Merul Badda.Cited →
  5. C-e80825In Gulshan-1, Gulshan-2 and Shahjadpur, extortion of Tk 200 to Tk 1,500 a day is collected from illegally set up pavement shops.Cited →
  6. C-74796eSpa centres in Gulshan and Banani pay between Tk 10,000 and Tk 20,000 a month in extortion according to police records.Cited →
  7. C-2a7ea0Several car traders in Baridhara alleged that crude bombs were exploded in front of their shops after they refused to pay extortion demands.Cited →
  8. C-f6b045Deputy Commissioner Tanvir Ahmed stated that many people are attempting extortion in Gulshan, Banani and Badda areas while operating from abroad.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.