socialtrust++:在社会信息系统中建立社区信任

James Caverlee, Zhiyuan Cheng, B. Eoff, Chiao-Fang Hsu, K. Kamath, Said Kashoob, Jeremy Kelley, Elham Khabiri, Kyumin Lee
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引用次数: 7

摘要

社交信息系统——由Facebook、Wikipedia、Twitter和其他社交网站推广开来——正在成为分布式社交信息管理的一个强大的新范例。虽然企业、政府机构和大学对这些系统的兴趣越来越大,但如果要充分发挥这些社会系统的潜力,仍然存在必须解决的重要挑战。例如,低质量用户和意图操纵系统的用户的存在可能会破坏社会驱动的信息和知识共享应用程序的质量。在本文中,我们概述了德克萨斯A&M大学的socialtrust++项目。socialtrust++项目的总体研究目标是开发、分析、部署和测试算法,用于在社会信息系统中建立、启用和利用基于社区的信任。具体来说,我们正在开发一个可信的社区信息平台,使社会信息系统的每个用户都能透明地访问社区的信任视角,从而实现更有效和高效的社会信息访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SocialTrust++: Building community-based trust in Social Information Systems
Social information systems - popularized by Facebook, Wikipedia, Twitter, and other social websites - are emerging as a powerful new paradigm for distributed social-powered information management. While there has been growing interest in these systems by businesses, government agencies, and universities, there remain important open challenges that must be addressed if the potential of these social systems is to be fully realized. For example, the presence of poor quality users and users intent on manipulating the system can disrupt the quality of socially-powered information and knowledge sharing applications. In this paper, we outline the SocialTrust++ project at Texas A&M University. The overall research goal of the SocialTrust++ project is to develop, analyze, deploy, and test algorithms for building, enabling, and leveraging community-based trust in Social Information Systems. Concretely, we are developing a trustworthy community-based information platform so that each user in a Social Information System can have transparent access to the community's trust perspective to enable more effective and efficient social information access.
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