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Image and Reputation Coping Differently with Massive Informational Cheating

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Visioning and Engineering the Knowledge Society. A Web Science Perspective (WSKS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5736))

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Abstract

Multi-agent based simulation is an arising scientific trend which is naturally provided of instruments able to cope with complex systems, in particular the socio-cognitive complex systems. In this paper, a simulation-based exploration of the effect of false information on social evaluation formation is presented. We perform simulative experiments on the RepAge platform, a computational system allowing agents to communicate and acquire both direct (image) and indirect and unchecked (reputation) information. Informational cheating, when the number of liars becomes substantial, is shown to seriously affect quality achievement obtained through reputation. In the paper, after a brief introduction of the theoretical background, the hypotheses and the market scenario are presented and the simulation results are discussed with respect to the agents’ decision making process, focusing on uncertainty, false information spreading and quality of contracts.

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Author information

Authors and Affiliations

  1. Laboratory of Agent Based Social Simulation - Institute of Cognitive Sciences and Technologies - CNR Rome, Italy

    Walter Quattrociocchi, Mario Paolucci & Rosaria Conte

Authors
  1. Walter Quattrociocchi
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  2. Mario Paolucci
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  3. Rosaria Conte
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Editor information

Editors and Affiliations

  1. Open Research Society, NGO, and American College of Greece, Gerakas Attikis, Greece

    Miltiadis D. Lytras

  2. Dipartemento Tecnologie dell’Informazione, Universitá degli Studi di Milano, Via Bramante 65, 26013, Crema, Italy

    Ernesto Damiani

  3. College of Information Sciences and Technology, The Pennsylvania State University, University Park, USA

    John M. Carroll

  4. College of Education and Human Development, University of Minnesota, Minneapolis, USA

    Robert D. Tennyson

  5. ESSEC Business School, Cergy Pontoise Cedex, France

    David Avison

  6. KMR group at NADA/KTH (Royal Institute of Technology), Lindstedtsv. 5, 100 44, Stockholm, Sweden

    Ambjörn Naeve

  7. Creatifica Associates, Chelveston, Wellingborough, UK

    Adrian Dale

  8. University of Tampere, Finland

    Paul Lefrere

  9. School of Computing and Mathematical Sciences, Private Bag 92006, 1020, Auckland, New Zealand

    Felix Tan

  10. School of Business, Villanova University, Villanova, PA, USA

    Janice Sipior

  11. European Research Center for Information Systems, University of MĂĽnster, Leonardo Campus 3, 48149, MĂĽnster, Germany

    Gottfried Vossen

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© 2009 Springer-Verlag Berlin Heidelberg

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Quattrociocchi, W., Paolucci, M., Conte, R. (2009). Image and Reputation Coping Differently with Massive Informational Cheating. In: Lytras, M.D., et al. Visioning and Engineering the Knowledge Society. A Web Science Perspective. WSKS 2009. Lecture Notes in Computer Science(), vol 5736. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04754-1_58

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  • DOI: https://doi.org/10.1007/978-3-642-04754-1_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04753-4

  • Online ISBN: 978-3-642-04754-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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