Let's say that you are trying to train a model using labelled data. If your model to give accurate results the training dataset should be labelled properly. The challenge in our research project is that the labelling process is crucial as we ask the annotators to mark subjective responses. If we work with a pool of annotators we need to make sure everyone is on the same ground.
To achieve this we conducted a workshop on 01/01/2021(What a good way to start a new year). We conducted a workshop for all the annotators of the project including 30 participants teaching the following;
- What is hate speech?
- How to identify hate speech?
- How to distinguish the severe levels of hate speech as it is stated in UN Policy documents.
Slideset used during the workshop is given in link
Recording for the workshop is available in Llink
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