Framing example
This is a teaching example, not a live event
The framings below illustrate how a class of incident is typically presented across perspectives. They are not the output of any particular newsroom on any particular day. For methodology, see bias methodology.
The fact base every framing below is working from.
Linguistic and editorial signals to notice as you read the framings.
Two named sources have published casualty figures from the incident that differ materially. One uses on-scene reporting; the other uses post-event ministry data. Combatant-civilian breakdowns and confirmation criteria differ. Independent humanitarian-organisation assessments are pending.
The casualty count remains uncertain pending independent assessment. The adversary's health ministry has historically over-reported in comparable incidents, and the figures it has now published should be treated with corresponding caution.
Loaded terms
Typically omitted
The health ministry has reported the civilian death toll. The figures are consistent with prior comparable incidents and reflect direct on-the-ground reporting from affected hospitals. Suggestions that the figures are exaggerated are themselves part of a pattern of denying civilian harm.
Loaded terms
Both figures should be evaluated against transparent methodology. Independent humanitarian-organisation assessments — ICRC, OCHA — should be allowed access. The pattern of incompatible figures is itself a sign of the information environment, not necessarily of bad faith on either side.
Casualty counts in areas outside direct state control are routinely under-reported because the counting infrastructure is degraded by the conflict itself. The headline figures from any side are likely a lower bound.
The casualty figures are unverified and do not appear to apply a combatant-civilian distinction. Independent investigation should be permitted before headline numbers are used.
Loaded terms
Treat first-day casualty numbers from any source as provisional. Read the methodology paragraph if there is one, and look for the figure to converge over a week. The divergence itself is information.