Abstract: The intelligent society amplifies the risks of cyberbullying dissemination, rendering traditional governance mechanisms ineffective. As a core technological component, algorithms serve dual-roles: both as enablers of cyberbullying and as potential restrainers. This paper investigates this dual-roles through literature review and theoretical analysis, systematically examining the dissemination trends of cyberbullying characterized by algorithmic empowerment and psychological dynamics. We dissect the operational mechanisms through which algorithms exacerbate cyberbullying via content fabrication, emotional manipulation, and conflict amplification, while simultaneously analyzing their counteractive potential through content suppression, environmental purification, and behavioral guidance. Building upon this dual-roles analysis, we propose a collaborative governance framework involving multi-stakeholder participation from governments, platforms, algorithm designers, and users. This paper contributes theoretical innovation and practical guidance for addressing cyberbullying governance challenges in intelligent society, offering insights into the synergistic optimization of technological governance and social regulation mechanisms.

Key words: Intelligent society, Cyberbullying, Cyberbullying governance, Algorithms, Dual-roles, Governance Paths