4 sourcesFirst reported yesterday at 15:00, updated 8 h ago

পবিপ্রবিতে র‌্যাগিং-নির্যাতন : ১১ শিক্ষার্থীকে বিভিন্ন মেয়াদে বহিষ্কার ও অর্থদণ্ড

eleven students expelled and fined for ragging in pabipra

Photo: Daily Naya Diganta

Neutral summary

from 2 outlets' reporting

Patuakhali Science and Technology University administration has fined 11 students and expelled them for periods ranging from one to four semesters, for ragging, physical and mental abuse, and cyberbullying, according to office orders issued Monday (26 October). The orders said the punishments followed a 28 April disciplinary board meeting and a review of an inquiry committee report. Fines ranged from 5,000 to 20,000 taka, with expulsion applied if fines were not paid within the set time. Students who are later proven to have engaged in further misconduct may be permanently expelled, the orders said, and academic activities will be suspended for those who do not pay.

Daily SangramDaily Naya Diganta

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

2out of 10

Band AStraight reporting

Daily Naya Diganta16:00Neutral

Relays a university disciplinary order factually, attributing all allegations and penalties to the office order, without comment from the punished students.

Four of the four outlets that covered this event headlined it neutrally.

Nothing in the headline, sourcing or narration pushes the reader.

Read the original See the working

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

র‌্যাগিংয়ের অভিযোগে পবিপ্রবিতে ১১ শিক্ষার্থী বিভিন্ন মেয়াদে বহিষ্কার

Daily Sangram15:00

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.

G1
Reporter's own voiceNarration is descriptive throughout.
0
G2
HeadlineReports the event or the speech act; contested claims are attributed.
0
G3
Other side missingThe other side is present, but only as a token line. Evidence 1
1
G4
Weight of the unanswered allegationNo allegation against an identifiable party.
0
G5
Loaded quotesQuotes are informational.
0
G6
Unattributed claimsEvery disputable claim is attributed.
0
G7
Missing contextNecessary background is present.
0

Evidence

1CoverageReporter voice

১১ শিক্ষার্থীকে অর্থদণ্ড ও অনাদায়ে বিভিন্ন মেয়াদে বহিষ্কার করেছে বিশ্ববিদ্যালয় প্রশাসন

The named students punished for ragging are not quoted, though the article is a disciplinary-outcome report based on an official order.

Show the calculation

S = G2 + … + G7 = 0 + 1 + 0 + 0 + 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