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Cyberbullying Governance on Social Media: A Unified Framework from Content Identification to Intervention

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arXiv:2605. 27584v1 Announce Type: new Abstract: The proliferation of social media platforms and online communities has inadvertently catalyzed the spread of cyberbullying, hate speech, and other forms of online toxicity, making the effective governance of such harm a critical societal and computational challenge.

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Authors: Yiting Huang, Wenting Zhu, Zekun Wang, Qingpo Yang, Yakai Chen, Zihui Xu, Yueyue Zhang, Sanchuan Guo, Xi Zhang
Released: 2026-05-28 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because Cyberbullying Governance on Social Media: A Unified Framework from Content Identification to Intervention overlaps with clean result "Only continuous soft prefixes hit both EM axes at once on Qwen-2.5-7B-Instruct: discrete prompt searches split between the alignment objective and the distributional objective, and both discretizations of the soft prefix collapse (MODERATE confidence)", clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "Follow-up to #354: cascading chunk-binding — does A→B, B→C, C→D propagate the full chain on a recipient trained only to emit A?". Matching terms: eval, line, rate, full, stage, model. Source: arxiv cs.AI (Artificial Intelligence).
arXiv: 2605.27584

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