Tuesday, 27 October 2026 Updated hourly from 226 outlets
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16 sourcesFirst reported Sat 24 Oct at 00:00, updated 49 min ago

বঙ্গোপসাগরে গভীর নিম্নচাপ, আগামীকাল ঘূর্ণিঝড় তৈরি হতে পারে

deep depression in bay of bengal may become cyclone tomorrow

Photo: Channel 24

Neutral summary

from 5 outlets' reporting

The Bangladesh Meteorological Department said a deep depression over the east-central Bay of Bengal could intensify into a cyclone on Monday and later an extremely severe cyclone, crossing the Andhra Pradesh coast in India around Wednesday, 28 October. Articles give the depression's position as 730 to 840 km south of Chitagong, Cox's Bazar, Mongla and Payra ports; winds within 48 km of its centre reached 50 km/h, gusting to 60 km/h, with rough seas nearby. The department asked the four sea ports to display Signal 1 and fishing boats and trawlers in the north Bay of Bengal to stay close to the coast and proceed with caution until further notice. Indian forecasters, cited by Dainik Sangbad, said the storm could hit between Bapatla and Visakhapatnam with sustained winds of 115 to 125 km/h and was named 'Arnab'. Bangladeshi forecasters said direct impact on Bangladesh was less likely, but rain was expected in several divisions over the following days.

Where accounts differ. Dhaka Post reports the system as an extremely severe cyclone already formed and forecasts rain across all eight divisions for five days, while Prothom Alo and Protidiner Sangbad describe only a possible cyclone and Naya Diganta gives a 28 October landfall date without the Indian forecast details.

Dainik SangbadProthom AloDaily Naya DigantaProtidiner SangbadDhaka Post

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

Relays the Meteorological Department's forecast of a possible cyclone and five days of rain in descriptive narration, attributing all projections to the department's bulletin.

Sixteen of the sixteen 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, one framing

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

Neutral 16 of 16

বঙ্গোপসাগরে সুস্পষ্ট লঘুচাপ, টানা ৫ দিন বজ্রসহ বৃষ্টির আভাস

Channel 24

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