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New dataset ChildGuard targets child-specific hate speech on social media

By PulseAugur Editorial · [1 sources] ·

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.

RANK_REASON Research paper introducing a new dataset for a specific NLP task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset ChildGuard targets child-specific hate speech on social media

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Research paper introducing a new dataset for a specific NLP task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Gautam Siddharth Kashyap, Mohammad Anas Azeez, Rafiq Ali, Zohaib Hasan Siddiqui, Jiechao Gao, Usman Naseem ·

    ChildGuard: A Specialized Dataset for Combatting Child-Targeted Hate Speech

    arXiv:2506.21613v3 Announce Type: replace Abstract: Mental health industry faces growing concerns regarding hate speech directed at children's on social media, as exposure to such content can contribute to adverse psychological outcomes during critical stages of development. Curr…

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