  Online social networks have become a fundamental component of our everyday
life. Unfortunately, these platforms are also a stage for hate speech. Popular
social networks have regularized rules against hate speech. Consequently,
social networks like Parler and Gab advocating and claiming to be free speech
platforms have evolved. These platforms have become a district for hate speech
against diverse targets. We present in our paper a pipeline for detecting hate
speech and its targets and use it for creating Parler hate targets'
distribution. The pipeline consists of two models; one for hate speech
detection and the second for target classification, both based on BERT with
Back-Translation and data pre-processing for improved results. The source code
used in this work, as well as other relevant sources, are available at:
https://github.com/NadavSc/HateRecognition.git
