Tuesday, 27 October 2026 Updated hourly from 226 outlets
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5 sourcesFirst reported yesterday at 04:55, updated 3 h ago

India braces for Cyclone Arnab

Photo: bdnews24.com

Neutral summary

from 2 outlets' reporting

Two states on India's eastern coast, Andhra Pradesh and Odisha, were preparing to evacuate thousands of people ahead of Cyclone Arnab, which formed over the Bay of Bengal and was expected to make landfall in Andhra Pradesh by Wednesday morning, according to India's weather office. The office said gusts could reach 140 kph (87 mph) and the cyclone would probably intensify further, bringing heavy to extremely heavy rain to northern and central coastal Andhra Pradesh and southern Odisha. Andhra Pradesh called for boats at sea to return ashore and ordered speedy power restoration in case of disruptions. A senior Andhra Pradesh disaster management official told Reuters that 570,000 people had been identified as vulnerable and evacuations would start Monday evening. Odisha closed schools and colleges in five districts for Tuesday and Wednesday and was preparing to move residents of low-lying areas to cyclone shelters.

The Kathmandu Postbdnews24.com

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 cyclone preparations descriptively in headline and narration, attributing forecasts and figures to the weather office and state officials.

Five of the five 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 5 of 5

India to evacuate thousands as Cyclone Arnab nears eastern coast

Reuters

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

  1. bdnews24.com Bangladesh Analysed above Neutral

    India braces for Cyclone Arnab

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