When Hate Meets Facts: LLMs-in-the-Loop for Check-worthiness Detection in Hate Speech
When Hate Meets Facts: LLMs-in-the-Loop for Check-worthiness Detection in Hate Speech explores An LLM-in-the-loop framework and dataset to improve hate speech detection by assessing claim check-worthiness, reducing moderator effort and improving model accuracy.. Commercial viability score: 7/10 in Content Moderation AI.
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