Moral Violations Are Made, Not Found: A Theory of Motivated Violation Construction
Abstract
ABSTRACT Moral psychology treats moral violations as features of behaviour that observers detect and then evaluate. This paper challenges this assumption. We introduce Motivated Violation Construction (MVC), the process whereby observers categorise ambiguous behaviour as morally wrong in order to justify predetermined negative evaluations. Factors such as threat, dislike, envy, or group allegiance can motivate an observer to deem certain behaviour as morally wrong. This increases the likelihood that ambiguous behaviour is classified as a violation rather than simply judged more harshly. MVC is therefore activated at the point where behaviour first enters the moral domain. A stage before evaluation begins. MVC is distinct from motivated reasoning, which shapes how people judge behaviour they already see as wrong. It is also distinguished from moralization, which concerns gradual shifts in what practices a society treats as moral issues. MVC, instead, is about how specific behaviour, expressed by a specific person, becomes classified as wrong. Four predictions are advanced. Motivation increases the frequency with which identical behaviour is classified as a violation. When the behaviour is genuinely ambiguous, this effect is strongest. It weakens where moral consensus is clear. Differences in classification track the observer’s motives rather than features of the behaviour itself. Critically, the classification of behaviour as wrong is driven more by motivation than by how severely it is judged once classified. If proven, moral violations are not simply features of behaviour; they are partly determined by the observer. The implication is that they arise earlier than assumed by current models. Not in how behaviour is judged, but in whether it is seen as a violation at all.
Fields of Study & Subjects
Psychology of Moral and Emotional Judgment
Social and Intergroup Psychology
Experimental Behavioral Economics Studies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 April 2026
- Document type
- Preprint