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Trusting the messenger because of the message: feedback dynamics from information quality to source evaluation

Author

Listed:
  • Fabio Paglieri

    (CNR)

  • Cristiano Castelfranchi

    (CNR)

  • Célia Costa Pereira

    (Université de Nice Sophia Antipolis/CNRS)

  • Rino Falcone

    (CNR)

  • Andrea Tettamanzi

    (Université de Nice Sophia Antipolis/CNRS)

  • Serena Villata

    (Institut National de Recherche en Informatique et Automatique (INRIA))

Abstract

Information provided by a source should be assessed by an intelligent agent on the basis of several criteria: most notably, its content and the trust one has in its source. In turn, the observed quality of information should feed back on the assessment of its source, and such feedback should intelligently distribute among different features of the source—e.g., competence and sincerity. We propose a formal framework in which trust is treated as a multi-dimensional concept relativized to the sincerity of the source and its competence with respect to specific domains: both these aspects influence the assessment of the information, and also determine a feedback on the trustworthiness degree of its source. We provide a framework to describe the combined effects of competence and sincerity on the perceived quality of information. We focus on the feedback dynamics from information quality to source evaluation, highlighting the role that uncertainty reduction and social comparison play in determining the amount and the distribution of feedback.

Suggested Citation

  • Fabio Paglieri & Cristiano Castelfranchi & Célia Costa Pereira & Rino Falcone & Andrea Tettamanzi & Serena Villata, 2014. "Trusting the messenger because of the message: feedback dynamics from information quality to source evaluation," Computational and Mathematical Organization Theory, Springer, vol. 20(2), pages 176-194, June.
    • Handle: RePEc:spr:comaot:v:20:y:2014:i:2:d:10.1007_s10588-013-9166-x
    DOI: 10.1007/s10588-013-9166-x
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    References listed on IDEAS

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    1. Paul-Amaury Matt & Maxime Morge & Francesca Toni, 2010. "Combining statistics and arguments to compute trust," Post-Print hal-00731959, HAL.
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    Cited by:

    1. Xusen Cheng & Fei Guo & Jin Chen & Kejiang Li & Yihui Zhang & Peng Gao, 2019. "Exploring the Trust Influencing Mechanism of Robo-Advisor Service: A Mixed Method Approach," Sustainability, MDPI, vol. 11(18), pages 1-20, September.

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