  Studies on interpersonal conflict have a long history and contain many
suggestions for conflict typology. We use this as the basis of a novel
annotation scheme and release a new dataset of situations and conflict aspect
annotations. We then build a classifier to predict whether someone will
perceive the actions of one individual as right or wrong in a given situation.
Our analyses include conflict aspects, but also generated clusters, which are
human validated, and show differences in conflict content based on the
relationship of participants to the author. Our findings have important
implications for understanding conflict and social norms.
