scholarly journals Decoupling Service and Feedback Trust in a Peer-to-Peer Reputation System

Author(s):  
Gayatri Swamynathan ◽  
Ben Y. Zhao ◽  
Kevin C. Almeroth
2021 ◽  
Vol 295 ◽  
pp. 117056
Author(s):  
Tonghe Wang ◽  
Jian Guo ◽  
Songpu Ai ◽  
Junwei Cao

2011 ◽  
Vol 38 (3) ◽  
pp. 2432-2440 ◽  
Author(s):  
Yuh-Min Tseng ◽  
Fu-Gui Chen

Author(s):  
Zenggang Xiong ◽  
Yang Yang ◽  
Xuemin Zhang ◽  
Dairong Yu ◽  
Li Liu

2011 ◽  
Vol 24 (10) ◽  
pp. 1037-1051 ◽  
Author(s):  
Weilian Xue ◽  
Yaqiong Liu ◽  
Keqiu Li ◽  
Zhongxian Chi ◽  
Geyong Min ◽  
...  

2021 ◽  
Author(s):  
Judith Kas ◽  
Rense Corten ◽  
Arnout van de Rijt

Abstract Reputation systems are commonplace in online markets, such as on peer-to-peer sharing platforms. These systems have been argued to be a solution to (ethnic) discrimination on such platforms. This argument is based on empirical studies showing that ethnic disadvantages are smaller for users with ratings than for users without ratings. We argue that this conclusion may be premature, because minorities have a harder time accumulating ratings. The greater benefit of ratings to minorities may be offset by their troubles acquiring any, thereby diminishing the potential for reputation systems to reduce discrimination. We tested this counterargument using a unique data set that contains information on all interactions on a peer-to-peer motorcycle rental platform. We find that the reputation system does not reduce initial inequalities between otherwise comparable renters of different ethnicity. Platforms that wish to reduce discrimination should not only make their reputation system more effective, but also help users collect ratings.


10.29007/hm9m ◽  
2019 ◽  
Author(s):  
Ming-Chang Huang

Lack of incentives makes most P2P users unwilling to cooperate and lead to free-riding behavior. One way to encourage cooperation is through service differentiation based on each peer’s contributions. This paper presents FuzRep, a reputation system for P2P networks. FuzRep uses fuzzy logic method which uses requester’s reputation and provider’s inbound bandwidth as input information to create incentives for sharing and to avoid overloading problems for primary file providers. Reputation sharing in FuzRep is implemented by interest-based selective polling, which can significantly decrease overheads for reputation communication.


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