valueneutral

Value-neutral (or value-neutral language) is a principle in various fields that aims to describe, report, or analyze phenomena without expressing evaluative judgments or bias. In science, value neutrality refers to describing phenomena using observable data and reproducible methods, and avoiding normative claims unless explicitly stated. In journalism and public discourse, value-neutral reporting seeks to present information impartially and to minimize subjective interpretation, leaving evaluative judgments to readers.

In practice, achieving value neutrality involves choosing precise terminology, distinguishing fact from interpretation, employing standardized measurement, and disclosing limitations and methods. It also involves separating descriptive statements from normative claims, and avoiding loaded or emotionally charged language.

Critics note that complete neutrality may be unattainable because all knowledge is produced within social and political contexts, and because naming, selecting, and framing issues embodies value judgments. Some argue that neutrality can obscure power relations or injustices, while others advocate explicitly values-based approaches, such as impartiality tempered by transparency and accountability.

Value-neutrality is often linked to objectivity in science, but the concept remains debated. In applied fields like policy analysis or journalism, the goal may be to be transparent about biases, provide evidence, and allow audiences to form their own judgments. Related notions include objectivity, bias, framing, and evidence-based reasoning.