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Identifying Artificial Actors in E-Dating: A Probabilistic Segmentation Based on Interactional Pattern Analysis

Author: Schmitz, A., Yanenko, O. & Hebing, M.
Published in: , (pp. 319-327). Heidelberg: Springer.
Year: 2012
Type: Book contributions and chapters

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.

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