Reputation Equity in Ranking Systems

Boratto, Ludovico;Marras, Mirko
2021-01-01

Abstract

The impact of ranking systems on humans is an aspect that is getting a lot of attention. In this paper, we consider a class of algorithms, known as reputation-based ranking systems, which rank the items based on a reputation score automatically computed for each user. Recent literature introduced the concept of reputation independence, which considers a sensitive attribute of the users (such as gender or age) and makes the reputation scores independent from that attribute. Here, we show that if we consider a different sensitive attribute w.r.t. a user to introduce independence, reputation scores are still biased. To overcome this issue, we propose an approach to attain equity in the reputation scores computation, independently of any sensitive attribute that characterizes the users.
2021
Inglese
{CIKM} '21: The 30th {ACM} International Conference on Informationand Knowledge Management, Virtual Event, Queensland, Australia, November1 - 5, 2021
978-145038446-9
ACM
Gianluca Demartini, Guido Zuccon, Shane Culpepper, Zi Huang, Hanghang Tong
3378
3382
5
https://doi.org/10.1145/3459637.3482171
CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management
Comitato scientifico
2021
Online
internazionale
scientifica
bias mitigation; ranking systems; reputation systems
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Ramos, Guilherme; Boratto, Ludovico; Marras, Mirko
273
3
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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