We propose different behaviour and interaction related indicators of
artificial actors (bots) and show how they
can be separated from natural users in a
virtual dating market. A finite mixture classification model is applied on the different
behavioural and interactional information to classify users into bot vs. non-bot-
categories. Finally the validity of the classification model and the impact of bots
on sociodemographic distributions and scientific analysis is discussed.