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4 sourcesFirst reported yesterday at 13:07, updated 14 h ago

Macron says ‘social media is damaging our democracies’

Photo: Vanguard

Article analysis

2out of 10

Band AStraight reporting

Reports Macron's remarks with attributed headline and descriptive narration; evaluative content sits in his quotes.

Four of the four 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 4 of 4

Macron says 'social media is damaging our democracies'

Bangladesh Sangbad Sangstha (BSS)

How the 2 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 quotesSome evaluative words in quotes, in proportion to the event. Evidence 2
    1
  6. G6
    Unattributed claimsEvery disputable claim is attributed.
    0
  7. G7
    Missing contextNecessary background is present.
    0

Evidence

1MagnitudeReporter voice· not scored

weeks of protests marked by street violence and looting

Characterises protests broadly as violent without sourcing, though plausibly factual background.

2Word choiceAttributed quote voice

tools for mobilising the worst impulses

Evaluative language belongs to Macron's quoted speech, proportionate to a speech report.

Show the calculation
S = G2 + … + G7 = 0 + 0 + 0 + 1 + 0 + 0 = 1
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 2

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