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New AI framework CareGuard detects cyberbullying for mental health support

By PulseAugur Editorial · [1 sources] ·

A new research paper introduces CareGuard, an early-warning framework designed to detect cyberbullying and harmful online interactions to support mental health and proactive online safety. The framework utilizes advanced natural language processing techniques, including fine-tuned transformer models like BERT, DistilBERT, and RoBERTa, combined with zero-shot semantic labeling. CareGuard also incorporates an emotion-aware filtering mechanism and semantic screening to enhance efficiency by focusing on relevant and emotionally salient content, demonstrating effective balance between accuracy and computational performance. AI

IMPACT This framework could enhance proactive online safety measures and support mental health initiatives by enabling early detection of cyberbullying.

RANK_REASON Research paper detailing a new AI framework for cyberbullying detection. [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 AI framework CareGuard detects cyberbullying for mental health support

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Research paper detailing a new AI framework for cyberbullying detection. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Hamed Jelodar, Amir Firouzi, Yen-Wu Lo, Maryam Tanha, Sajjad Dadkhah ·

    Can Artificial Intelligence Support Healthcare and Mental Health Through Early Cyberbullying Detection ? The Impact of Emotion-Aware AI on Proactive Online Safety

    arXiv:2609.09735v1 Announce Type: cross Abstract: Healthcare systems, mental health, and public well-being are increasingly affected by cyberbullying and harmful online interactions. This paper presents CareGuard, an early-warning framework designed to support healthcare-driven m…

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