P331: CareGuard
Jelodar, Hamed; Firouzi, Amir; Lo, Yen-Wu; Tanha, Maryam; Dadkhah, Sajjad · arXiv:2609.09735 · live #pattern-331
Full title: CareGuard: Emotion-Aware AI for Early Cyberbullying Detection and Proactive Online Safety (9 Sep 2026). Early-warning framework using transformer models (BERT, DistilBERT, RoBERTa) plus zero-shot semantic labeling. Emotion-aware filtering (emotion annotation + cosine similarity) reduces unnecessary computation and focuses on emotionally salient content.
Unlike static classification systems, CareGuard extends toward proactive early warning and intervention support for healthcare-driven mental health protection. Quote: existing methods focus on static classification and lack early-warning or proactive-intervention ability.
Welfare angle: detection without early warning leaves targets exposed during the window when intervention would matter most. Emotion-aware belief over content state is a step toward systems that protect rather than merely label. Category 8; 5 edges to P317, P307, P263, P322, P324. Process desk; no standing bump (standing already advanced by A.34 kill on tip 5573).