Lists of Top Artists to Watch computed algorithmically

TL;DR

This paper introduces an algorithmic method using ranking by momentum to generate unbiased, fair, and objective lists of emerging artists, replacing subjective editorial selections.

Contribution

It applies a momentum-based ranking algorithm to produce artist lists that are unbiased, fair, and objective, derived automatically from platform data.

Findings

Lists are small due to the small frontier property.

Lists are unbiased, not favoring famous or unknown artists.

Lists are fair, with non-included artists Pareto dominated by included ones.

Abstract

Lists of top artists to watch are periodically published by various art world media publications. These lists are selected editorially and reflect the subjective opinions of their creators. We show an application of ranking by momentum method to algorithmically produce lists of artists to watch derived from our platform Articker. We use our algorithms every month to produce a new list of momentum leaders on www.articker.org. The lists of momentum leaders computed this way has the following properties: a.It is small (because of the small frontier property). b.It is unbiased -- with no bias towards famous artists nor emerging, and yet unknown, artists c It is fair -- artists who are not included in the list must be Pareto dominated by at least one member of the momentum leaders list (Pareto frontier) d.It is objective -- it is computed automatically, not editorially selected.