Excess reciprocity distorts reputation in online social networks

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 digital re...

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Autores principales:	Giacomo Livan, Fabio Caccioli, Tomaso Aste
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5b9f9071ebba4e07bb7c947dcdf70b4f
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spelling	oai:doaj.org-article:5b9f9071ebba4e07bb7c947dcdf70b4f2021-12-02T15:06:03ZExcess reciprocity distorts reputation in online social networks10.1038/s41598-017-03481-72045-2322https://doaj.org/article/5b9f9071ebba4e07bb7c947dcdf70b4f2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03481-7https://doaj.org/toc/2045-2322Abstract 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 digital reputation, revealing that P2P networks display exceedingly high levels of reciprocity. In fact, these are much higher than those compatible with a null assumption that preserves the empirically observed level of agreement between all pairs of nodes, and rather close to the highest levels structurally compatible with the networks’ reputation landscape. This indicates that the crowdsourcing process underpinning digital reputation can be significantly distorted by the attempt of users to mutually boost reputation, or to retaliate, through the exchange of ratings. We uncover that the least active users are predominantly responsible for such reciprocity-induced bias, and that this fact can be exploited to obtain more reliable reputation estimates. Our findings are robust across different P2P platforms, including both cases where ratings are used to vote on the content produced by users and to vote on user profiles.Giacomo LivanFabio CaccioliTomaso AsteNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Giacomo Livan Fabio Caccioli Tomaso Aste Excess reciprocity distorts reputation in online social networks
description	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 digital reputation, revealing that P2P networks display exceedingly high levels of reciprocity. In fact, these are much higher than those compatible with a null assumption that preserves the empirically observed level of agreement between all pairs of nodes, and rather close to the highest levels structurally compatible with the networks’ reputation landscape. This indicates that the crowdsourcing process underpinning digital reputation can be significantly distorted by the attempt of users to mutually boost reputation, or to retaliate, through the exchange of ratings. We uncover that the least active users are predominantly responsible for such reciprocity-induced bias, and that this fact can be exploited to obtain more reliable reputation estimates. Our findings are robust across different P2P platforms, including both cases where ratings are used to vote on the content produced by users and to vote on user profiles.
format	article
author	Giacomo Livan Fabio Caccioli Tomaso Aste
author_facet	Giacomo Livan Fabio Caccioli Tomaso Aste
author_sort	Giacomo Livan
title	Excess reciprocity distorts reputation in online social networks
title_short	Excess reciprocity distorts reputation in online social networks
title_full	Excess reciprocity distorts reputation in online social networks
title_fullStr	Excess reciprocity distorts reputation in online social networks
title_full_unstemmed	Excess reciprocity distorts reputation in online social networks
title_sort	excess reciprocity distorts reputation in online social networks
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/5b9f9071ebba4e07bb7c947dcdf70b4f
work_keys_str_mv	AT giacomolivan excessreciprocitydistortsreputationinonlinesocialnetworks AT fabiocaccioli excessreciprocitydistortsreputationinonlinesocialnetworks AT tomasoaste excessreciprocitydistortsreputationinonlinesocialnetworks
_version_	1718388584521662464

Excess reciprocity distorts reputation in online social networks

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