III: RI: Small: RUI: Tracking Predators and Bullies Via Chat Log Transcripts

随着即时通讯、Facebook和MySpace等社交网络应用程序的开发和部署，以及越来越多的年轻用户，网络暴力正呈指数级增长。这些年轻用户经常成为网络掠夺者和网络恶霸的受害者。为了解决这个持续的问题，这个研究项目将研究在网络掠夺和网络欺凌的情况下，攻击者和受害者所采用的交际策略。该项目的主要成果是开发用于检测在线掠夺和网络欺凌的理论交流模型和技术。除了标记攻击性的交流并通知父母之外，用这些资金开发的开源软件还会建议适当的回应，这样青少年就可以立即保护自己不受侵犯。反应软件还将巧妙地教授有效的防御通信策略，孩子们可以在其他情况下（在现实世界或网络世界）采取这些策略。这一领域的现有研究数据资源不足且存在问题。作为该项目的一部分，收集和传播的数据可用于未来研究网络掠夺和反应的理论传播模型的发展，以及网络欺凌的传播和反应。还将创建和分发用于研究解决多个互联网身份的数据集。这个研究项目将汇集两个领域，计算机科学和媒体与传播研究，这两个领域受到互联网社交网站爆炸式增长的巨大影响。这项研究将建立在现有的以网络为中心的技术和工具，以及通过仔细分析其他媒体形式（如电视和印刷媒体）而发展起来的传播理论的基础上。现有的机器学习算法将通过为在线交互而更新的交际理论的发展和整合而得到增强。对网络暴力的关注，尤其是针对儿童的网络暴力，提供了一个与社会相关的试验台，而这一试验台一直受到计算机科学研究人员的忽视，主要原因是缺乏标准数据集。该项目将提供注释数据的集合，这些数据将被这两个领域的其他研究人员使用。

Cyber-violence is increasing exponentially as social networking applications such as Instant Messaging, Facebook, and MySpace are developed, deployed, and reach increasingly younger users. These young users frequently fall victim to cyber-predators and cyber-bullies. To address this ongoing concern, this research project will study of the communicative strategies employed by both aggressors and victims in cases of online predation and cyber-bullying. The primary outcome of this project is the development of theoretical communicative models and technology for the detection of online predation and cyber-bullying. In addition to flagging aggressive communication and notifying parents, the open-source software developed with these funds will suggest appropriate responses so a teen or tween can immediately defend him or herself against an aggressor. The response software will also subtly teach effective defense communication strategies that children can take into other situations (in the real or online world). Existing data resources for research in this area are scant and problematic. The data to be collected and disseminated as part of this project can be used to for future research in the development of theoretical communicative models of online predation and response, and of cyber-bullying communication and response. A data set for research in resolving multiple Internet identities will also be created and distributed. This research project will bring together two fields, Computer Science and Media and Communication Studies, which have been dramatically impacted by the explosive growth of Internet social networking sites. The study will build upon existing web-centered technologies and tools, as well as theories of communication that were developed by close analysis of other media forms, such as television and print media. Existing machine learning algorithms will be enhanced by the development and integration of communicative theories that have been updated for online interactions. The focus on cyber-violence, especially cyber-violence directed at children, supplies a socially relevant test-bed that has suffered from neglect by researchers in Computer Science, primarily due to the lack of standard data sets. This project will provide collections of annotated data that will be used by other researchers in both fields.