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Add AddressHate organization card
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README.md
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# AddressHate
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AddressHate develops datasets, models, and tools to identify, annotate, and analyze antisemitism online.
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Our work combines human annotation with multimodal machine learning, considering posts alongside their surrounding text and images.
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### What we build
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- **Annotation infrastructure** for collecting and labeling antisemitism research data.
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- **Multimodal models** for classification using text, images, and context.
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- **Analysis tools** for exploring narratives, platforms, actors, and trends.
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### Resources
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- [AH Qwen3-VL-8B Antisemitism](https://huggingface.co/AddressHate/AH-Qwen3-VL-8B-Antisemitism) — a QLoRA adapter with PyTorch, Transformers, and PEFT usage examples.
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- [AH Antisemitism Multimodal](https://huggingface.co/datasets/AddressHate/AH-Antisemitism-Multimodal) — annotated text and images, with train and validation splits and a PyTorch DataLoader example.
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These repositories are currently private and available to authorized collaborators.
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