Journal of New Democratic Methods: An Introduction

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dc.creatorFunge, John David
dc.date2004-08-21
dc.date.accessioned2026-07-07T03:21:42Z
dc.date.available2026-07-07T03:21:42Z
dc.descriptionThis paper describes a new breed of academic journals that use statistical machine learning techniques to make them more democratic. In particular, not only can anyone submit an article, but anyone can also become a reviewer. Machine learning is used to decide which reviewers accurately represent the views of the journal's readers and thus deserve to have their opinions carry more weight. The paper concentrates on describing a specific experimental prototype of a democratic journal called the Journal of New Democratic Methods (JNDM). The paper also mentions the wider implications that machine learning and the techniques used in the JNDM may have for representative democracy in general.
dc.description8 pages, 1 figure
dc.identifierhttps://arxiv.org/abs/cs/0408048
dc.identifierhttp://arxiv.org/abs/cs/0408048
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32303
dc.subjectComputers and Society
dc.subjectMachine Learning
dc.subjectI.2.6; J.1; K.4.3
dc.titleJournal of New Democratic Methods: An Introduction
dc.typetext

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