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+ # Model Card for German Hate Speech Classifier
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+ ## Model Details
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+ ### Introduction
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+ This model was developed to explore the potential of German language models in multi-class classification of hate speech in German online journals. It is a fine-tuned version of the GBERT model from (Chan, Schweter, and Möller, 2020).
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+ ### Dataset
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+ The dataset used for training is a consolidation of three pre-existing German hate speech datasets:
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+ - **RP (Assenmacher et al., 2021)**
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+ - **DeTox (Demus et al., 2022)**
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+ - **Twitter dataset (Glasenbach, 2022)**
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+ The combined dataset underwent cleaning to minimize biases and remove redundant data.
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+ ## Performance
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+ Our experiments delivered promising results, with the model reliably classifying comments into:
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+ - **No Hate Speech**
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+ - **Political Hate Speech**
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+ - **Racist Hate Speech**
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+ - **Sexist Hate Speech**
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+ The model achieved a macro F1-score of 0.775.