TC: Small: Collaborative Proposal: User-Controlled Persona in Virtual Community

TC：小型：协作提案：虚拟社区中用户控制的角色

• 批准号: 0916688
• 负责人: Gail-Joon Ahn
• 金额: $ 26.99万
• 依托单位: Arizona State University
• 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: 2009-09-15 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0916688&HistoricalAwards=false
• 关键词: TC; Small; Collaborative; Proposal; User

Today we have organizational and software procedures that facilitate the exchange of interpersonal information in social networking sites, instant messaging, bulletin boards, online role?playing games, computer?supported collaborative work, and online education. All of these applications fit into the larger category of social media that support virtual communities. As we increasingly rely on this cyberspace, the issue of privacy protection in social media is critically important. The objective of this project is to develop an advanced framework called U-Control for Digital Persona and Privacy Management to manage and release personal information considering a notion of digital persona based user privacy preferences and associated risks in disclosing such private information over virtual communities. Successful completion of this project will result in the development of a protection framework and architecture to address the privacy challenges in social media-based virtual communities. This research effort is also expected to set an important direction to the future research in the area of virtual communities and online privacy solutions. This research has the potential for broad societal impact by providing user-controlled sharing of personal attributes and the efficiency of existing business models and operations of such.

今天，我们有组织和软件程序，促进交流的人际信息在社交网站，即时通讯，公告板，在线角色？玩游戏，玩电脑支持协作工作和在线教育。所有这些应用程序都属于支持虚拟社区的更大类别的社交媒体。随着我们越来越依赖网络空间，社交媒体中的隐私保护问题至关重要。该项目的目标是开发一个名为U-Control的数字角色和隐私管理的高级框架，以管理和发布个人信息，考虑到基于数字角色的用户隐私偏好的概念以及在虚拟社区中披露此类私人信息的相关风险。该项目的成功完成将导致制定一个保护框架和架构，以解决基于社交媒体的虚拟社区的隐私挑战。这项研究工作也有望为虚拟社区和在线隐私解决方案领域的未来研究提供重要方向。这项研究通过提供用户控制的个人属性共享以及现有商业模式和运营的效率，具有广泛的社会影响力。