Calculating trust in domain analysis: Theoretical trust model |
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| Institution: | 1. AG Corporate Semantic Web, Institute of Computer Science, Free University of Berlin, Germany;2. Opus College of Business, University of St. Thomas, Minneapolis Campus, 1000 LaSalle Ave, Minneapolis, MN 55403, USA;3. Montpellier Business School, Montpellier Research in Management, 2300 Avenue des Moulins, 34185 Montpellier, France;1. University of Rome Tor Vergata, Department of Enterprise Engineering, Via del Politecnico 1, 00133 Rome, Italy;2. MIT Center for Collective Intelligence, 245 First Street, 02142 Cambridge, MA, USA;1. University of Eastern Finland, Business School, P.O. Box 111, FI-80101 Joensuu, Finland;2. HAAGA-HELIA University of Applied Sciences, Ratapihantie 13, FI-00520 Helsinki, Finland;1. Department of Information Systems and Business Analytics, Hofstra University, 11501, USA;2. H. John Heinz III College of Information Systems and Public Policy, Carnegie Mellon University, 15213, USA;1. Department of Business Administration, Zhejiang University of Technology, Zhejiang, China;2. Department of Information Management, Ming Chuan University, Taoyuan, Taiwan, ROC;1. Petróleo Brasileiro S.A.- Petrobras University, Rua Ulysses Guimarães, 565 – Cidade Nova, Rio de Janeiro, RJ, 20.211-225, Brazil;2. Fluminense Federal University, Faculty of Engineering, Department of Industrial Engineering, Industrial Engineering Graduate Program, Rua Passo da Pátria, 156, bloco D, Sala 306, São Domingos, Niterói, RJ, 24.210-240, Brazil;1. Department of Graphic Design and Engineering Projects, University of the Basque Country, Alameda Urquijo s/n, 48013, Bilbao, Spain;2. Deusto Business School, University of Deusto, Avenida de las Universidades, 24, 48007, Bilbao, Spain;3. Department of Computer Science and Engineering, University of Cádiz, Avenida Ramón Puyol, 11202, Algeciras, Cádiz, Spain |
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| Abstract: | 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. |
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| Keywords: | Trust Quality Credibility Stability Annotation Social media |
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