...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Knowledge-Based Systems >Trust, distrust and lack of confidence of users in online social media-sharing communities
【24h】

Trust, distrust and lack of confidence of users in online social media-sharing communities

机译：用户对在线社交媒体共享社区的信任，不信任和缺乏信心

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With the proliferation of online communities, the deployment of knowledge, skills, experiences and user generated content are generally facilitated among participant users. In online social media-sharing communities, the success of social interactions for content sharing and dissemination among completely unknown users depends on 'trust'. Therefore, providing a satisfactory trust model to evaluate the quality of content and to recommend personalized trustworthy content providers is vital for a successful online social media-sharing community. Current research on trust prediction strongly relies on a web of trust, which is directly collected from users. However, the web of trust is not always available in online communities and, even when it is available, it is often too sparse to accurately predict the trust value between two unacquainted people. Moreover, most of the extant trust research studies have not paid attention to the importance of distrust, even though distrust is a distinct concept from trust with different impacts on behavior. In this paper, we adopt the concepts of 'trust', 'distrust', and 'lack of confidence' in social relationships and propose a novel unifying framework to predict trust and distrust as well as to distinguish the confidently-made decisions (trust or distrust) from lack of confidence without a web of trust. This approach uses interaction histories among users including rating data that is available and much denser than explicit trust/distrust statements (i.e. a web of trust).
机译：随着在线社区的泛滥，通常会促进参与者用户之间知识，技能，经验和用户生成内容的部署。在在线社交媒体共享社区中，用于完全未知用户之间的内容共享和传播的社交交互的成功取决于“信任”。因此，提供一个令人满意的信任模型以评估内容的质量并推荐个性化可信赖的内容提供者对于成功的在线社交媒体共享社区至关重要。当前对信任预测的研究强烈依赖于直接从用户收集的信任网络。但是，信任网络在在线社区中并不总是可用，即使可用，它也仍然太稀疏，无法准确预测两个不认识的人之间的信任价值。而且，尽管不信任是与信任不同的概念，对行为有不同的影响，但大多数现存的信任研究并未关注不信任的重要性。在本文中，我们采用了“信任”，“不信任”和“缺乏信任”的社会关系概念，并提出了一个新颖的统一框架来预测信任和不信任以及区分自信做出的决定（信任或不信任）。不信任）。这种方法使用了用户之间的交互历史记录，其中包括可用的评级数据，并且比明确的信任/不信任声明（即信任网）密集得多。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号