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A framework for classifying trust for online systems

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Abstract

There is no single universally agreed definition of trust for online systems. This has resulted in various trust metrics being proposed by researchers with diverse methods of computing and sourcing trust information. Consequently, it becomes difficult to carry out a comparative study of different types of trust in an organized manner. A classification framework of trust research is required to understand research trends and gaps in existing research. Existing trust classification frameworks are based on few dimensions and have restricted scope. There is a need for developing a generic and scalable method of classifying online trust approaches that can serve as a framework for researchers to analyze upcoming works and carry them forward. In this paper, we develop an open, extensible and scalable trust classification framework built on a set of orthogonal trust dimensions. After taking a bird’s eye view of existing trust classifications, we use wide applicability and extensibility as guidelines to incorporate and extend some of the existing trust categories and propose new dimensions for developing a more comprehensive classification framework. We enhance the prior proposed dimensions computational approach, computational model, trust inference, genesis of trust and trust context by adding new trust categories within each of them. We introduce a new classification dimension that is based on the life cycle maturity of trust systems. Taking a cue from the study of offline trust in social sciences, we refine implicit trust into two new sub-branches namely, relational and similarity based. We categorize existing works on online trust within the proposed framework to highlight their properties along different trust dimensions. Finally, we present a comprehensive review of similarity based implicit and relational implicit trust metrics, the two new key trust sub-categories defined in this paper.

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Correspondence to Anuradha Yadav.

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Yadav, A., Chakraverty, S. & Sibal, R. A framework for classifying trust for online systems. World Wide Web 22, 1499–1521 (2019). https://doi.org/10.1007/s11280-018-0626-6

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