  In this work we propose a novel annotation scheme which factors hate speech
into five separate discursive categories. To evaluate our scheme, we construct
a corpus of over 2.9M Twitter posts containing hateful expressions directed at
Jews, and annotate a sample dataset of 1,050 tweets. We present a statistical
analysis of the annotated dataset as well as discuss annotation examples, and
conclude by discussing promising directions for future work.
