SBE: Small: An Analysis of the Relationship Between Cyberaggression and Self-Disclosure among Diverse Youths

数字时代的年轻人在网络和现实世界中生活在平行的生活中，他们经常向网络朋友和陌生人泄露个人信息，不分种族、阶级或性别。然而，当这些在线披露导致网络攻击行为时，种族和性别确实会产生影响。PIs以前的工作显示，一些年轻人对网络攻击具有抵抗力，来自不同文化和种族背景的年轻人对网络欺凌的看法存在差异。本研究旨在探讨青少年的自我表露、文化背景和他们对网络攻击的认知之间的关系。个人调查人员在他们正在进行的网络攻击模式识别研究的基础上进行了一项纵向的跨学科研究：1)使用调查和焦点小组来测试和提炼他们关于自我表露、感知、文化差异和网络攻击沟通模式的理论；2)使用机器学习来开发用于保护青少年的应用程序的检测和响应技术；3)使用焦点小组来评估应用程序；以及4)将从该项目中收集的数据提供给研究界。这项工作对于理解自我表露在青少年网络胜利中的作用非常重要，并为制定有效的应对策略提供了理论基础，青少年可以在受到网络攻击时使用这些策略。这项研究的数据将为计算机科学以及社会科学和行为科学的其他研究人员提供丰富的材料来源。

Youths of the digital age live parallel lives online and in the real world, frequently disclosing personal information to cyberfriends and strangers, regardless of race, class or gender. Race and gender do make a difference, however, when these online disclosures lead to acts of cyberaggression. The PIs' previous work revealed that some youths are resistant to cyberaggression and that there are differences in perceptions of cyberbullying among youths from different cultural and racial backgrounds. This research aims to explore the relationship between youths' self-disclosures, cultural backgrounds, and their perceptions of cyberaggression.The PIs conduct a longitudinal, interdisciplinary study that builds upon their ongoing cyberaggression pattern recognition research by: 1) using surveys and focus groups to test and refine their theories about self-disclosure, perception, cultural difference, and cyberaggression communication patterns, 2) using machine learning to develop detection and response technologies for use in applications designed to protect youths, 3) using focus groups to evaluate the applications, and 4) making the data collected from this project available to the research community. This work is important to understand the role of self-disclosure in cybervictmization among youths, and provides the theoretical groundwork for the development of effective response strategies that can be employed by youths when they are attacked online. The data from this study will provide a rich source of material for other researchers in both computer science and in the social and behavior sciences.