Name
Abstract | ||
|---|---|---|
The peer-to-peer (P2P) economy relies on establishing trust in distributed networked systems, where the reliability of a user is assessed through digital peer-review processes that aggregate ratings into reputation scores. Here we present evidence of a network effect which biases the digital reputations of the users of P2P networks, showing that P2P networks display exceedingly high levels of reciprocity. In fact, these are so large that they are close to the highest levels structurally compatible with the networksu0027 reputation landscape. This shows that the crowdsourcing process underpinning digital reputation is significantly distorted by the attempt of users to mutually boost reputation, or to retaliate, through the exchange of ratings. We show that the least active users are predominantly responsible for such reciprocity-induced bias, and that this fact can be exploited to suppress the bias itself. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Physics and Society | Computer security,Crowdsourcing,Network effect,Reciprocity (social psychology),Mathematics,Underpinning,Reputation |
DocType | Volume | Citations |
Journal | abs/1606.02597 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giacomo Livan | 1 | 9 | 3.78 |
| Fabio Caccioli | 2 | 23 | 4.15 |
| Tomaso Aste | 3 | 57 | 11.62 |