Despite regulations imposed by nations and social media platforms, such as recent EU regulations targeting digital violence, abusive content persists as a significant challenge. Existing approaches primarily rely on binary solutions, such as outright blocking or banning, yet fail to address the complex nature of abusive speech. In this work, we propose a more comprehensive approach called Demarcation scoring abusive speech based on four aspect -- (i) severity scale; (ii) presence of a target; (iii) context scale; (iv) legal scale -- and suggesting more options of actions like detoxification, counter speech generation, blocking, or, as a final measure, human intervention. Through a thorough analysis of abusive speech regulations across diverse jurisdictions, platforms, and research papers we highlight the gap in preventing measures and advocate for tailored proactive steps to combat its multifaceted manifestations. Our work aims to inform future strategies for effectively addressing abusive speech online.

翻译：尽管各国和社交媒体平台（例如近期欧盟针对数字暴力的法规）已实施监管，辱骂性内容仍是严峻挑战。现有方法主要依赖二元解决方案，如直接屏蔽或封禁，但未能应对辱骂性言论的复杂性。本研究提出一种更全面的方法——Demarcation，该方法基于四个维度对辱骂性言论进行评分：（i）严重程度；（ii）目标对象存在性；（iii）语境范围；（iv）法律尺度——并建议更多行动选项，例如去毒化处理、对抗性言论生成、屏蔽，或作为最终措施的人工干预。通过对不同司法管辖区、平台及研究文献中辱骂性言论管控政策的深入分析，我们揭示了预防措施的不足，并主张采取定制化的主动策略以应对其多维度表现形式。本研究旨在为未来有效处理网络辱骂性言论的策略提供参考。