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Designing a trust evaluation model for open‐knowledge communities
Author(s) -
Yang Xianmin,
Qiu Qin,
Yu Shengquan,
Tahir Hasan
Publication year - 2014
Publication title -
british journal of educational technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.79
H-Index - 95
eISSN - 1467-8535
pISSN - 0007-1013
DOI - 10.1111/bjet.12083
Subject(s) - openness to experience , trustworthiness , reliability (semiconductor) , interpersonal communication , limiting , computer science , quality (philosophy) , resource (disambiguation) , psychology , knowledge management , social psychology , internet privacy , mechanical engineering , computer network , power (physics) , philosophy , physics , epistemology , quantum mechanics , engineering
The openness of open‐knowledge communities ( OKC s) leads to concerns about the knowledge quality and reliability of such communities. This confidence crisis has become a major factor limiting the healthy development of OKC s. Earlier studies on trust evaluation for W ikipedia considered disadvantages such as inadequate influencing factors and separated the treatment of trustworthiness for users and resources. A new trust evaluation model for OKC s—the two‐way interactive feedback model—is developed in this study. The model has two core components: resource trustworthiness ( RT ) and user trustworthiness ( UT ). The model is based on more interaction data, considers the interrelation between RT and UT , and better represents the features of interpersonal trust in reality. Experimental simulation and trial operation for the L earning C ell S ystem, a novel open‐knowledge community developed for ubiquitous learning, show that the model accurately evaluates RT and UT in this example OKC environment.