ChildGuard: A Specialized Dataset for Combatting Child-Targeted Hate Speech
Researchers have introduced ChildGuard, a new dataset designed to combat child-targeted hate speech on social media platforms. This dataset contains over 350,000 annotated instances collected from X, Reddit, and YouTube, categorized by age groups including younger children, pre-teens, and teens. Evaluations using transformer-based models and LLMs on ChildGuard achieved a Macro-F1 score of 82.07%, highlighting the dataset's utility in developing more effective detection systems for age-specific hate speech. AI
IMPACT Enhances AI's ability to detect and mitigate child-specific online hate speech, improving platform safety.