In this study we look at cyberbullying on twitter. We try to automatically classify bullying messages and compare various classification algorithms. We fine-tune the performance of some algorithms and find that oversampling the bullying messages in the minority improves the kappa and accuracy measures of some classifiers.

We explored different external features, and while not giving conclusive results, we suggest directions for future work in that area.