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Supporting trust in virtual communities

Abdul-Rahman, A., Hailes, S.·2005·Proceedings of the 33rd Annual Hawaii International Conference on System Sciences

Abstract

At any given time, the stability of a community depends on the right balance of trust and distrust. Furthermore, we face information overload, increased uncertainty and risk taking as a prominent feature of modern living. As members of society, we cope with these complexities and uncertainties by relying trust, which is the basis of all social interactions. Although a small number of trust models have been proposed for the virtual medium, we find that they are largely impractical and artificial. In this paper we provide and discuss a trust model that is grounded in real-world social trust characteristics, and based on a reputation mechanism, or word-of-mouth. Our proposed model allows agents to decide which other agents' opinions they trust more and allows agents to progressively tune their understanding of another agent's subjective recommendations.

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Metadata

Authors
Abdul-Rahman, A., & Hailes, S.
Venue
Proceedings of the 33rd Annual Hawaii International Conference on System Sciences
Published
2005-08-24
Volume
vol.1
Pages
9
ISSN
1530-1605 (ISSN-L)
OpenAlex
W2098685442
Cited by
1,339
References
0
FWCI
249.67
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Supporting trust in virtual communities. https://app.cochat.ai/papers/10.1109/hicss.2000.926814
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Abdul-Rahman, A., & Hailes, S. (2005). Supporting trust in virtual communities. Proceedings of the 33rd Annual Hawaii International Conference on System Sciences. https://doi.org/10.1109/hicss.2000.926814

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.