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

III：RI：小：RUI：通过聊天日志记录追踪掠夺者和恶霸

• 批准号: 0916152
• 负责人: April Edwards
• 金额: $ 49.84万
• 依托单位: Ursinus College
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0916152&HistoricalAwards=false
• 关键词: III; RI; Small; RUI; Tracking

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.

随着即时通讯、Facebook和MySpace等社交网络应用程序的开发、部署和越来越多的年轻用户的使用，网络暴力呈指数级增长。这些年轻用户经常成为网络掠夺者和网络欺凌者的受害者。 为了解决这一持续关注的问题，本研究项目将研究在线掠夺和网络欺凌案件中攻击者和受害者所采用的沟通策略。 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。 除了标记攻击性沟通和通知父母，与这些资金开发的开源软件将建议适当的反应，使青少年或青少年可以立即保护他或她自己免受侵犯者。 响应软件还将巧妙地教授有效的防御沟通策略，孩子们可以将其带到其他情况下（在真实的或网络世界中）。 在这一领域进行研究的现有数据资源不足，而且存在问题。 作为该项目的一部分，收集和传播的数据可用于未来的研究，在网上捕食和反应的理论沟通模型的发展，网络欺凌的沟通和反应。 还将建立和分发一个数据集，用于研究如何解析多种因特网身份。 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，这已经大大影响了互联网社交网站的爆炸性增长。 这项研究将建立在现有的网络为中心的技术和工具，以及通过密切分析其他媒体形式，如电视和印刷媒体的传播理论。 现有的机器学习算法将通过开发和整合已更新用于在线交互的通信理论来增强。 对网络暴力的关注，特别是针对儿童的网络暴力，提供了一个社会相关的测试平台，该平台一直受到计算机科学研究人员的忽视，主要是由于缺乏标准数据集。 该项目将提供注释数据集，供这两个领域的其他研究人员使用。