PDF(Pubmed)
Abstract：
Social networking and messaging applications, such as WhatsApp, have become an essential social environment for adolescents and young adults (AYA). While facilitating connectivity, they also bear hazards, including cyber-aggression. This study investigates the impact of (aggressive) group norms on AYA\'s propensity to expect cyberaggressive behaviors within different group chats. Based on a vignette scenario, realistically simulated WhatsApp group chats enabled scrutinizing, if and how exemplary reactions (funny, aggressive, friendly) of group members influence AYA\'s conformity to cyber-aggression (N = 500, aged 16 to 29). Additionally, we examined the effect of chat group type-close friends versus fellow students-on the anticipation of aggressive reactions. Sociodemographic, social, and developmental-psychological factors were evaluated for potential effects. Multilevel logistic regression analyses indicated that aggressive group norms significantly predict cyber-aggression anticipation, while no effect of chat group type was observed. Controlling for the size and vivacity of participant\'s friend group, gender, age, and educational status were significant predictors: males, younger participants, and non-university students expected higher levels of cyber-aggression conformity. This study underlines the importance of group dynamics on perceptions of cyber-aggression and hints at individual risk factors for AYA\'s digital communication behavior.
摘要：
社交网络和消息传递应用程序，比如WhatsApp,已经成为青少年和年轻人的重要社会环境(AYA)。在促进连接的同时，它们也有危险，包括网络侵略.这项研究调查了（侵略性）群体规范对AYA期望不同群体聊天中网络攻击行为倾向的影响。根据小插图场景，现实模拟的WhatsApp群聊启用了仔细检查，如果以及如何模范反应(有趣，侵略性,友好)的小组成员影响AYA对网络侵略的遵守(N=500，16至29岁)。此外,我们研究了聊天组类型-亲密朋友与同学-对预期的积极反应的影响。社会人口统计学，社会,和发育心理因素的潜在影响进行了评估。多水平逻辑回归分析表明，激进的群体规范显着预测网络侵略的预期，而没有观察到聊天组类型的影响。控制参与者朋友组的大小和活力，性别,年龄,和教育状况是重要的预测因素：男性，年轻的参与者，非大学生期望更高水平的网络侵略一致性。这项研究强调了群体动力学对网络侵略感知的重要性，并暗示了AYA数字通信行为的个体风险因素。
