3 sourcesFirst reported today at 02:37, updated 12 h ago
Prediction markets open new front for U.S. election misinformation
Photo: The Straits Times
Article analysis
Band DEditorialising in its own voice
The Straits TimesNeutral
Headline compresses expert warnings into a stated fact, and narration adds a few evaluative labels, while Kalshi's response is quoted substantively and Polymarket's non-response is noted.
Three of the three outlets that covered this event headlined it neutrally.
The paper's own narration evaluates, which places it in the top band.
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 3 of 3
Prediction markets open new front for US election misinformation
Bangladesh Sangbad Sangstha (BSS)
How the 8 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.
- G1 2
-
G2
HeadlineCompresses or intensifies, but the claim stays attributed. Evidence 31
-
G3
Other side missingEvery party involved responds substantively.0
-
G4
Weight of the unanswered allegationNo allegation against an identifiable party.0
-
G5
Loaded quotesSome evaluative words in quotes, in proportion to the event. Evidence 51
-
G6
Unattributed claimsOne or two disputable claims are unattributed. Evidence 11
-
G7
Missing contextNecessary background is present.0
Evidence
1OpinionatedReporter voice
has already made unsubstantiated allegations of fraud central to his political movement
Reporter-voice characterisation of Trump's claims and movement, though widely documented, is evaluative and unattributed.
2Word choiceReporter voice
controversial new scoreboard
Evaluative label in narration framing prediction markets negatively.
3Headline-body attribution mismatchHeadline voice
open new front for US election misinformation
Headline asserts in paper's voice what body attributes mainly to experts' warnings.
4Word choiceReporter voice
baselessly blaming fraud
Adjudicating adverb in narration summarising concerns.
5Emotional sensationalismAttributed quote voice
put more gasoline on this
Quoted metaphor, proportionate and attributed.
6Source selectionReporter voice· not scored
experts expressed fears
Expert sources lean critical, though Kalshi is quoted substantively.
Show the calculation
S = G2 + … + G7 = 1 + 0 + 0 + 1 + 1 + 0 = 3 G1 = 2, at least 2: band D Band D: set by G1 and S. Score 8
Every headline, in order
-
Bangladesh Sangbad Sangstha (BSS)
Bangladesh
First to report
Neutral
Prediction markets open new front for US election misinformation
-
The Japan Times
Asia Pacific
Neutral
Prediction markets open new front for U.S. election misinformation
-
The Straits Times
Asia Pacific
Analysed above
Neutral
Prediction markets open new front for US election misinformation
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.