TiagoMAntunes/KAREN
KAREN: Unifying Hatespeech Detection and Benchmarking
This project helps social media platforms, content moderators, and researchers accurately identify hate speech online. It takes text-based social media posts or comments as input and determines whether they contain hateful, offensive, or abusive language. The output is a classification of the content, which can then be used to inform content moderation decisions or to analyze trends in online discourse.
No commits in the last 6 months.
Use this if you need a standardized way to test and compare different methods for detecting hate speech across various datasets, or if you're developing new hate speech detection models and want to easily benchmark them.
Not ideal if you're looking for an out-of-the-box solution to directly moderate live content without any technical setup or further development.
Stars
18
Forks
3
Language
Python
License
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Category
Last pushed
Jun 22, 2021
Commits (30d)
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