Tuesday, 27 October 2026 Updated hourly from 226 outlets
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8 sourcesFirst reported yesterday at 05:52, updated 2 h ago

সাগরে ঘূর্ণিঝড় ‘অর্ণব’, সমুদ্রবন্দরে ২ নম্বর সতর্কতা

cyclone Arnab forms in sea, port issues signal two warning

Photo: Amar Desh

Neutral summary

from 2 outlets' reporting

The Bangladesh Meteorological Department said a deep depression over the Bay of Bengal has strengthened into cyclone Arnab. At 6 a.m. on Monday, the cyclone was 820 km south-west of Chattogram port, 745 km south-west of Cox's Bazar, 785 km south of Mongla and 745 km south of Payra port. It is forecast to move west-north-west, become a severe cyclone on Monday midnight, and cross the Andhra Pradesh coast in India around 28 October as a very severe cyclone. Maximum sustained wind within 54 km of the centre is 62 km per hour, gusting to 88 km per hour, and the sea near the centre is very rough. The department raised the signal at Chattogram, Cox's Bazar, Mongla and Payra ports from signal 1 to distant warning signal 2. Fishing boats and trawlers in the northern Bay of Bengal were told to stay near the coast and move with caution until further notice.

Amar DeshATN Bangla

Written by AI from these outlets' articles: facts they report, claims attributed, numbers checked against the sources. It may still contain errors; read the originals.

Article analysis

1out of 10

Band AStraight reporting

Reports the cyclone and port warning signal factually in headline and narration, attributing forecasts and figures to the Meteorological Department's special bulletin.

Seven of the eight outlets that covered this event headlined it neutrally.

Nothing in the headline, sourcing or narration pushes the reader.

1 Straight reporting10 Campaigning

The same event, two framings

The earliest headline of each kind. Marked words are judgements in the headline itself: stated as fact or in quotation marks.

Neutral 7 of 8

সাগরে ঘূর্ণিঝড় ‘অর্ণব’, সমুদ্রবন্দরে ২ নম্বর সতর্কতা

Amar Desh

In quotation marks 1 of 8

সাগরে ঘূর্ণিঝড় ‘অর্ণব’, সমুদ্রবন্দরে ২ নম্বর দূরবর্তী হুঁশিয়ারি সংকেত

Desh TV

How the 1 was worked out

The model answers seven fixed questions from 0 to 3 and cites evidence for each. The score is calculated from the answers in code, so any disagreement points to one question.

  1. G1
    Reporter's own voiceNarration is descriptive throughout.
    0
  2. G2
    HeadlineReports the event or the speech act; contested claims are attributed.
    0
  3. G3
    Other side missingEvery party involved responds substantively.
    0
  4. G4
    Weight of the unanswered allegationNo allegation against an identifiable party.
    0
  5. G5
    Loaded quotesQuotes are informational.
    0
  6. G6
    Unattributed claimsEvery disputable claim is attributed.
    0
  7. G7
    Missing contextNecessary background is present.
    0

Evidence

Show the calculation
S = G2 + … + G7 = 0 + 0 + 0 + 0 + 0 + 0 = 0
G1 = 0, below 2: not band D
G1 = 0 and S ≤ 1: band A
Band A: S = 0 gives 1, S = 1 gives 2. Score 1

Every headline, in order

About this method

Method. Bias types follow the Table of Media Bias Elements and the Media Bias Taxonomy (both CC BY 4.0). The impartiality rules follow the BBC Editorial Guidelines and the Ofcom Broadcasting Code. This analysis was made by claude-opus-5-5 on rubric 1.0.0. The score is calculated from the seven answers, never generated.

What this is not. No outlet gets a standing bias rating, and there is no left/right axis, because that axis does not describe Bangladeshi politics. Each analysis covers one article about one event. Members' analytics count how each outlet's headlines were labelled over a chosen period, with the number of headlines behind every share, and also show the average score of an outlet's scored articles: that average describes those articles (mostly each story's lead), not the outlet, and outlets are never ranked by it or by any share.

Known limits. Headlines are grouped into stories automatically, so an unrelated headline sometimes slips in; it is shown faded rather than hidden. Where outlets carry the same wire copy, the comparison has little to show. Human annotators agree on bias in Bangla news only moderately (κ = 0.574 at best), which limits what any automated score can claim.

The full method