gokulkarthik/hateclipper
Hate-CLIPper: Multimodal Hateful Meme Classification with Explicit Cross-modal Interaction of CLIP features - Accepted at EMNLP 2022 Workshop
This project helps social media content moderators, trust & safety teams, or platform administrators automatically identify hateful memes. It takes meme images and their associated text as input, then determines if the meme is hateful. The output is a classification that helps prioritize or flag content for review.
No commits in the last 6 months.
Use this if you need a highly accurate system to detect hateful memes across various social media platforms, including those with nuanced or multi-language content.
Not ideal if you only need to classify text-based hate speech or if your content does not involve images with accompanying text.
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59
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11
Language
Jupyter Notebook
License
MIT
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Last pushed
Apr 15, 2025
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