Categorizing Religious Online Hate Speech

Supervisor(s): Prof. Dr. Gerold Schneider & Janis Goldzycher

Hate speech, often in relation to religion, is an omnipresent problem on the internet. This project addresses the following Research question:
– How can we create categories of religious hate in a data-driven manner?
– These categories could be semantic (who is hated how?) or syntactic/stylistic (how is the hate expressed?).
You will use the following methods and skills:
– training and using transformer-based supervised text classifiers for detecting hate speech
– using unsupervised methods, such as clustering, for recognizing and classifying types of hate speech

• Python
• Transformers