Cyberbullying is a pervasive problem in online environments, causing substantial psychological harm to victims. Although bystander intervention has proven effective in mitigating its impact, motivating bystanders to engage in direct intervention remains a persistent challenge. Studies have suggested that difficulties in intervention skills and defending self-efficacy hinder bystanders from initiating direct intervention. To address this challenge, we introduced EmojiGen, an AI intervention tool designed to empower bystanders for direct intervention. EmojiGen enabled users to simply select an emoji as an intention clue, which subsequently combined the cyberbullying context to generate responses. In a between-subjects experiment involving 90 participants on a custom-built social media platform, we found that EmojiGen significantly increased the frequency of direct bystander interventions, both in supporting victims and in confronting perpetrators, driven by different factors. EmojiGen also increased the sense of knowing how to help and defending self-efficacy, while reducing perceived workload and anxiety associated with initiating intervention. The study contributed to the CSCW community through offering an effective direct bystander intervention method and providing design implications for future cyberbullying interventions.

翻译：网络霸凌是在线环境中普遍存在的问题，对受害者造成严重的心理伤害。尽管旁观者干预已被证明能有效减轻其影响，但激励旁观者参与直接干预仍然是一个持续的挑战。研究表明，干预技能和防御自我效能感方面的困难阻碍了旁观者发起直接干预。为应对这一挑战，我们引入了EmojiGen，这是一种旨在赋能旁观者进行直接干预的人工智能工具。EmojiGen使用户能够简单地选择一个表情符号作为意图线索，随后结合网络霸凌情境生成回复。在一个包含90名参与者的自定义社交媒体平台的被试间实验中，我们发现，EmojiGen显著提高了直接旁观者干预的频率，无论是在支持受害者还是对抗施暴者方面，均由不同因素驱动。EmojiGen还增强了用户知道如何帮助以及防御自我效能感，同时降低了与发起干预相关的感知工作量和焦虑。本研究通过提供一种有效的直接旁观者干预方法，并为未来网络霸凌干预提供设计启示，为CSCW社区做出了贡献。