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

随着即时通讯、Facebook和MySpace等社交网络应用的开发、部署和接触到越来越年轻的用户，网络暴力正在呈指数级增长。这些年轻用户经常成为网络捕食者和网络欺凌的受害者。为了解决这一持续关注的问题，本研究项目将研究侵略者和受害者在网络掠夺和网络欺凌案件中使用的沟通策略。该项目的主要成果是开发了用于检测在线掠夺和网络欺凌的理论交流模型和技术。除了标记咄咄逼人的交流并通知父母外，用这些基金开发的开源软件还会提出适当的反应建议，这样青少年就可以立即保护自己免受侵略者的攻击。Response软件还将微妙地教授有效的防御沟通策略，儿童可以在其他情况下使用这些策略(在现实世界或在线世界中)。用于这一领域研究的现有数据资源匮乏且存在问题。将作为该项目的一部分收集和传播的数据可用于今后研究开发网上掠夺和应对以及网络欺凌交流和应对的理论传播模式。还将创建和分发用于研究解析多个互联网身份的数据集。这项研究项目将把计算机科学和媒体与传播学这两个领域结合在一起，这两个领域已经受到互联网社交网站爆炸性增长的巨大影响。这项研究将建立在现有的以网络为中心的技术和工具的基础上，以及通过对电视和印刷媒体等其他媒体形式的仔细分析而形成的传播理论。现有的机器学习算法将通过开发和整合针对在线互动而更新的交流理论来增强。对网络暴力的关注，特别是针对儿童的网络暴力，提供了一个与社会相关的试验台，计算机科学的研究人员忽视了这一点，主要是因为缺乏标准的数据集。该项目将提供注释数据的集合，供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.