Combining Feedback and Trust Scope Parameter: A New Model for Assessing Information Source Trust☆

Abstract Reliable information is incredibly essential for policy and decision makers, especially when the decision to be made is related to a crucial interest. There are various ways used to get a reliable information. One of them is by looking at the trust level of the information source. This trust level can be determined by assessing the source of information's reputation. There are some parameters used in determining the value of the source of information reputation: such as feedback, trust scope, and trust level. Generally, these parameters are used separately in accordance to the purpose of the trust assessment conducted. Feedback, for example, is usually used to get a direct trust value. It is conducted to determine reputation value by accumulating the direct trust value with the previous reputation value. Meanwhile, trust scope is usually used to assess the trust of the information source based upon the context. However, implementing trust scope or feedback method alternately will not allow combined external and internal representations. In brief, separate implementation does not provide optimum result. Therefore, this paper proposes to combine two parameters: feedback and trust scope, considering each advantages and disadvantages. The underlying reason of combining both parameters is to get a stronger and more balanced trust assessment, as the trust value will be obtained both from feedback and the source of information trust in the context.

[1]  Jun Chen,et al.  A Trust Model Combining Reputation and Credential , 2009, 2009 WASE International Conference on Information Engineering.

[2]  Smriti Kumar Sinha,et al.  A New Trust Model Based on Social Characteristics and Reputation Mechanisms Using Best Local Prediction Selection Approach , 2009, 2009 International Conference on New Trends in Information and Service Science.

[3]  Yolanda Gil,et al.  Trusting Information Sources One Citizen at a Time , 2002, SEMWEB.

[4]  H. Bierhoff,et al.  The Social Psychology of Trust with Applications in the Internet , 2004 .

[5]  Jiujun Cheng,et al.  A new trust mechanism based on gravitation model of reputation value in social network , 2010, 2010 3rd IEEE International Conference on Broadband Network and Multimedia Technology (IC-BNMT).

[6]  Justyna Matysiewicz,et al.  Consumer Trust - Challenge for E-healthcare , 2009, 2009 Fourth International Conference on Cooperation and Promotion of Information Resources in Science and Technology.

[7]  Qing Zhang,et al.  A Classification Scheme for Trust Functions in Reputation-Based Trust Management , 2004, Trust@ISWC.

[8]  Li Wen,et al.  Trust Model of Users' Behavior in Trustworthy Internet , 2009, 2009 WASE International Conference on Information Engineering.

[9]  Amit P. Sheth,et al.  Some trust issues in social networks and sensor networks , 2010, 2010 International Symposium on Collaborative Technologies and Systems.

[10]  Cristina V. Lopes,et al.  Modeling trust in collaborative information systems , 2007, 2007 International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2007).

[11]  Wolfgang Reif,et al.  Patterns to Measure and Utilize Trust in Multi-agent Systems , 2011, 2011 Fifth IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops.