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41.
提出了一种基于P2P环境的信任管理模型,基于实体的行为经验构建实体间的相对信任关系,并采用改进的分布式存储机制应用于全局信誉值的管理,使得网络中各节点在维护管理全局信任关系的工作中合理地分担计算负载和存储负载,提高了信任管理系统的整体性能。  相似文献   
42.
在前人研究的基础上,提出适合网络环境的实体间信任度的计算方法,该方法考虑到信任关系动态变化的属性,着重于信任度的动态更新计算策略。同时基于改进的信任模型设计出一套信任传递协议,该协议用XML标记语言来表示消息。  相似文献   
43.
在分析影响电子商务中买方对卖方信任因素的基础上,提出一个完整的信任模型,将该信任的取值分为初始信任和重复信任,分别给出这两种信任值的计算方法,最后对此信任评价方法进行实例研究,并指出今后的研究方向。  相似文献   
44.
This study examines political and communicative factors predicting trust in mainstream newspapers and television by analyzing a set of survey data collected in South Korea. The results show that supporters of the opposition party are less likely to trust the mainstream news media than supporters of the ruling party. Daily Internet use negatively predicted trust in media only for nonpartisans. However, for supporters of the opposition party, daily Internet use moderated the interaction effect between political discussion and exposure to political news on trust in media.  相似文献   
45.
中国企业的国际化进程尚处于初级阶段,对于刚刚走出国门的中国企业来说,在全球范围内建立起与国际供应链企业间的信任机制刻不容缓.从信任的涵义与特点出发论述了中国企业在国际化进程中建立与国际供应链企业间的信任机制的必要性,并进一步分析了中国企业如何在国际化进程中建立信任机制.  相似文献   
46.
高职大学生应对方式、人格特征与人际信任的相关研究   总被引:5,自引:0,他引:5  
在诸多影响人际信任的因素中 ,考察应对方式、人格特征与人际信任的关系 ,不仅对于改善高职大学生的人格状况、提高其应对策略、增强其人际交往技巧具有十分重要的意义 ,而且可以为高校的教育教学工作提供干预依据。  相似文献   
47.
This short article explores some of the challenges and complexities of engaging with school communities, particularly in diverse urban contexts. The author argues for a new relationship between schools and communities which is developed by grappling with the concept of community; developing tools to ‘read’ and make sense of the community context; working with communities to redefine the notion of school success; and building trusting relationships. She concludes by suggesting that, in a global context in which many city communities are marginalized or isolated, the notion of developing a reciprocal relationship between schools and communities is not an optional extra. Only by working together will they be able to enrich the lives of young people and increase their sense of self-worth and well-being.  相似文献   
48.
In recent decades, more information has become increasingly available on the Web. Every user can actively participate in the generation and exchange of information. Investigating the quality of user-generated content (UGC) has therefore become a necessity and an ever-increasing challenge. In collaborative environments where users collect, share and build a knowledge base, trust is an important factor. If, for example, we as users trust UGC on the Web, this influences our interaction with this content. The aim of our research is to propose a model for the evaluation of trust in UGC. Based on the available research results, we define a model for measuring trust in collaborative environments. Our approach is based on three dimensions: stability, credibility and quality. These three concerns are combined to create a trusted translator. We use a real-world data set of the social annotation platform Genius to calculate the value of our trust in an annotation. Based on this case study, we show which insights can be gained by calculating the trust in such an environment. When information has specific qualities, our approach will enable the user to better determine which information offers the highest level of trust.  相似文献   
49.
Intercultural dialogue is a process central to creating a just social world. Despite this, people are often prejudiced against it. In order to better understand the nature of this antagonism, the present research investigated the role of Social Dominance Orientation as one potential source of resistance. Across three studies, the direct and mediated impact of SDO on both self-reported and behaviorally-indicated dialogic engagement was assessed. Results provide evidence that increasing levels of SDO encourage ideological beliefs and social evaluations that, in turn, prejudice participants against dialogue with an African-American woman. The significance of these results is discussed, along with suggestions for future research.  相似文献   
50.
Smart replies, writing enhancements, and virtual assistants powered by artificial intelligence (AI) language technologies are becoming part of consumer products and everyday experiences. This study explores the opportunities and risks of using language-generating AI systems in politics to increase legislative responsiveness. Legislators receive a large volume of constituent communication and often cannot devote individual consideration and timely response to each. Here, AI language technologies may allow legislators to process constituent communication more efficiently. For example, AI writing tools can suggest reply snippets when a staffer responds to a common concern. However, legislative human-AI collaboration could reduce constituent trust or undermine the representative process. In two experiments, we compared constituents' impressions of human-written legislative correspondence to correspondences partially or fully generated by GPT-3, a state-of-the-art language model. Our results suggest that legislative correspondence generated by AI with human oversight may be received favorably and increase constituent trust compared to generic auto-responses that busy legislators may employ. However, poorly performing AI language technologies may damage confidence in the legislator. Our findings highlight the potential and risks of introducing AI-mediated communication to the representation process. We discuss the importance of disclosure, transparency, and maintaining human-in-the-loop accountability for political deployments of AI language technologies.  相似文献   
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