Tuesday, 27 October 2026 Updated hourly from 226 outlets
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10 sourcesFirst reported yesterday at 10:21, updated 1 h ago

বছরে এক লাখ দক্ষ সদস্যকে বিদেশে পাঠায়ে চায় আনসার

ansar plans sending one lakh skilled members abroad yearly

Article analysis

This article has not been scored yet.

Each story's lead article is scored automatically. Scoring any other outlet's article on request is coming for members.

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 9 of 10

বছরে এক লাখ দক্ষ সদস্যকে বিদেশে পাঠায়ে চায় আনসার

Kalbela

In quotation marks 1 of 10

‘এ বছরেই ১ লাখ দক্ষ আনসারকে বিদেশে পাঠানো হবে’

Dhaka Post

Every headline, in order

  1. Kalbela Bangladesh First to report Neutral

    বছরে এক লাখ দক্ষ সদস্যকে বিদেশে পাঠায়ে চায় আনসার

    Headline changed; now বছরে এক লাখ দক্ষ সদস্যকে বিদেশে পাঠাতে চায় আনসার 26 Oct, 12:00

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. 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