Abstract: The disclosed embodiments provide a system for identifying fake positions in member profiles. During operation, the system determines features and labels for real positions and fake positions listed in member profiles with an online network, wherein the features indicate inclusion of one or more attributes in the member profiles. Next, the system inputs the features and the labels as training data for a machine learning model. The system then applies the machine learning model to additional features for additional members with the online network to produce scores representing likelihoods that positions listed in additional member profiles for the additional members are fake. Finally, the system stores predictions represented by the scores in association with the positions.