Cyberbullying has become one of the most pressing online risks for young people, due in part to the rapid increase in social media use, and has raised serious concerns in society. Existing studies have examined various approaches to cyberbullying detection focusing on a single piece of text, whereas relatively little is known about cyberbullying detection within a social media session . A social media session typically consists of an initial post, images/videos, a sequence of comments that involves user interactions, user information, spatial location, and other social content. By investigating cyberbullying at the level of social media sessions, researchers can draw on data that are more complex, diverse, and crucial for understanding two defining characteristics of cyberbullying, in particular: repetitive acts and power imbalance . This article thus highlights the importance of studying session-based cyberbullying detection, identifies core challenges, and serves as a resource to help direct future research efforts.

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基于会话的网络欺凌检测：问题与挑战

网络欺凌已成为年轻人面临的最紧迫的在线风险之一，部分原因是社交媒体的使用迅速增加，并引起了社会的严重关注。现有研究已经研究了多种针对网络欺凌检测的方法，重点是针对单个文本，而对网络欺凌检测的了解相对较少。社交媒体会议 。社交媒体会话通常由初始帖子，图像/视频，涉及用户交互，用户信息，空间位置和其他社交内容的一系列评论组成。通过在社交媒体会话级别上调查网络欺凌，研究人员可以利用更为复杂，多样且对于理解网络欺凌的两个定义特征至关重要的数据，特别是：重复行为 和 功率不平衡 。因此，本文重点介绍了研究基于会话的网络欺凌检测的重要性，确定核心挑战并作为指导未来研究工作的资源。