Cyberbullying Governance on Social Media: A Unified Framework from Content Identification to Intervention
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. While significant strides have been made in automating content moderation, existing research predominantly treats cyberbullying governance as passive, isolated detection at the post level. This reductionist view overlooks the continuous behavioral dynamics of users, the structural dif
The continuous proliferation of social media platforms and online toxicity necessitates more sophisticated and holistic approaches to cyberbullying governance beyond isolated detection.
This research introduces a unified framework that moves beyond passive content moderation to address the continuous behavioral dynamics of users and structural aspects of online harm, critical for platform integrity and user safety.
The shift from isolated post-level detection to a unified framework incorporating behavioral dynamics and network structures changes how cyberbullying is approached, aiming for more proactive and effective intervention.
- · Social Media Platforms
- · AI/ML Developers (Trust & Safety)
- · Online Communities
- · Users
- · Cyberbullies
- · Existing Passive Content Moderation Systems
Improved detection and intervention of cyberbullying incidents on social media platforms.
Increased user safety and well-being, potentially leading to greater platform engagement and trust.
The development of more ethical AI governance models for online behavior, influencing future digital civic spaces.
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Read at arXiv cs.AI