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Avoiding ballot stuffing in eBay-like reputation systems

Authors:

Rajat Bhattacharjee,

Ashish GoelAuthors Info & Claims

P2PECON '05: Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems

Pages 133 - 137

https://doi.org/10.1145/1080192.1080203

Published: 22 August 2005 Publication History

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Abstract

We present a preliminary study on the robustness of binary feedback reputation systems (e.g. eBay) to ballot stuffing and bad mouthing. In a feedback based reputation system, a seller can collude with other buyers to undertake fake transactions in order to enhance her reputation. This problem is referred to as ballot stuffing. A seller can also be targeted by a group of buyers to deliberately lower her reputation. This problem is referred to as bad mouthing. For the reputations to be meaningful, any practical reputation system needs to be resistant to these problems. We use a simplified model to give an explicit relation between the reputation premium and the transaction cost that needs to hold in order to avoid ballot stuffing. Thus we draw attention to the necessity of transaction costs for a well functioning reputation system. Our conclusions are confirmed by empirical experiments on eBay.

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Tao MAlam FLahuerta-Otero EMengyuan C(2024)Get Ready to Buy With Me: The Effect of Social Presence Interaction and Social Commerce Intention on S-commerce Live StreamingSage Open10.1177/2158244024123275114:1Online publication date: 4-Mar-2024
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Alam FTao MLahuerta-Otero EFeifei Z(2022)Let's Buy With Social Commerce Platforms Through Social Media Influencers: An Indian Consumer PerspectiveFrontiers in Psychology10.3389/fpsyg.2022.85316813Online publication date: 15-Apr-2022
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Index Terms

Avoiding ballot stuffing in eBay-like reputation systems
1. Mathematics of computing
  1. Information theory

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Published In

P2PECON '05: Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems

August 2005

296 pages

ISBN:1595930264

DOI:10.1145/1080192

Program Chairs:
Eric Friedman
Cornell University
,
Emin Gun Sirer
Cornell University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 August 2005

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reputation systems

Qualifiers

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SIGCOMM05

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SIGCOMM05: ACM SIGCOMM 2005 Conference

August 22, 2005

Pennsylvania, Philadelphia, USA

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Cited By

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Tao MAlam FLahuerta-Otero EMengyuan C(2024)Get Ready to Buy With Me: The Effect of Social Presence Interaction and Social Commerce Intention on S-commerce Live StreamingSage Open10.1177/2158244024123275114:1Online publication date: 4-Mar-2024
https://doi.org/10.1177/21582440241232751
Alam FTao MLahuerta-Otero EFeifei Z(2022)Let's Buy With Social Commerce Platforms Through Social Media Influencers: An Indian Consumer PerspectiveFrontiers in Psychology10.3389/fpsyg.2022.85316813Online publication date: 15-Apr-2022
https://doi.org/10.3389/fpsyg.2022.853168
Kumar RKonda SKarnati RKumar.E RNarenderRavula (2022)A Diagnostic survey on Sybil attack on cloud and assert possibilities in risk mitigation2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR)10.1109/ICAITPR51569.2022.9844217(1-6)Online publication date: 10-Mar-2022
https://doi.org/10.1109/ICAITPR51569.2022.9844217
Azeem MMahmood JAslam TShahzadi K(2022)A Systematic Literature Review on Block-chain Attacks2022 International Conference on Frontiers of Information Technology (FIT)10.1109/FIT57066.2022.00050(231-236)Online publication date: Dec-2022
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Xie HLui J(2020)Mining Deficiencies of Online Reputation Systems: Methodologies, Experiments and ImplicationsIEEE Transactions on Services Computing10.1109/TSC.2017.273020613:5(887-900)Online publication date: 1-Sep-2020
https://doi.org/10.1109/TSC.2017.2730206
Zhao SDong YWu SMartínez L(2020)Linguistic scale consistency issues in multi-granularity decision making contextsApplied Soft Computing10.1016/j.asoc.2020.107035(107035)Online publication date: Dec-2020
https://doi.org/10.1016/j.asoc.2020.107035
Rahman TKim YNoh MLee C(2020)Determinants of social commerce adoption in an emerging economyService Business10.1007/s11628-020-00427-4Online publication date: 28-Oct-2020
https://doi.org/10.1007/s11628-020-00427-4
Wang RLian XZhao D(2019)Feedback Elicitation Mechanism DesignIEEE Access10.1109/ACCESS.2019.29199997(73656-73665)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2919999
Riazati MShajari MKhorsandi S(2019)An incentive mechanism to promote honesty among seller agents in electronic marketplacesElectronic Commerce Research10.1007/s10660-018-9298-719:1(231-255)Online publication date: 1-Mar-2019
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Panagopoulos AKoutrouli ETsalgatidou A(2017)Modeling and Evaluating a Robust Feedback-Based Reputation System for E-Commerce PlatformsACM Transactions on the Web10.1145/305726511:3(1-55)Online publication date: 12-Jul-2017
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