The Information Society (forthcoming)

Authors
Abstract
This article analyses the ethical aspects of multistakeholder recommendation systems (RSs). Following the most common approach in the literature, we assume a consequentialist framework to introduce the main concepts of multistakeholder recommendation. We then consider three research questions: who are the stakeholders in a RS? How are their interests taken into account when formulating a recommendation? And, what is the scientific paradigm underlying RSs? Our main finding is that multistakeholder RSs (MRSs) are designed and theorised, methodologically, according to neoclassical welfare economics. We consider and reply to some methodological objections to MRSs on this basis, concluding that the multistakeholder approach offers the resources to understand the normative social dimension of RSs
Keywords Artificial Intelligence  Digital Ethics  Multistakeholder Recommendation  Recommender Systems  Recommender Systems Ontology  Recommender Systems and Welfare  Social aspects of recommendation
Categories (categorize this paper)
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

 PhilArchive page | Other versions
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

No references found.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

A Multi-Agent Legal Recommender System.Lucas Drumond & Rosario Girardi - 2008 - Artificial Intelligence and Law 16 (2):175-207.
A Social Network-Based Approach to Expert Recommendation System.Elnaz Davoodi, Mohsen Afsharchi & Keivan Kianmehr - 2012 - In Emilio Corchado, Vaclav Snasel, Ajith Abraham, Michał Woźniak, Manuel Grana & Sung-Bae Cho (eds.), Hybrid Artificial Intelligent Systems. Springer. pp. 91--102.
Are We There Yet?Nello Cristianini - 2010 - Neural Networks 23 (4):466-470.
Research on Context-Awareness Mobile SNS Recommendation Algorithm.Zhijun Zhang & Hong Liu - 2015 - Pattern Recognition and Artificial Intelligence 28.

Analytics

Added to PP index
2019-11-25

Total views
328 ( #24,045 of 2,411,665 )

Recent downloads (6 months)
147 ( #3,529 of 2,411,665 )

How can I increase my downloads?

Downloads

My notes