Aesthetic Experience and Popularity Ratings for Controversial and Non-Controversial Artworks Using Machine Learning Ranking

Author:

Vlachou Sofia1,Panagopoulos Michail1ORCID

Affiliation:

1. Department of Audio & Visual Arts, Ionian University, 49100 Corfu, Greece

Abstract

Currently, a substantial portion of images snapped at exhibitions and galleries on social media demonstrates that aesthetic experience is not restricted to the confines of cultural institutions. The primary objective of this paper is to examine whether the content or aspect of an artwork influences the aesthetic experience of the viewer and to measure the artwork’s social media popularity. To compare controversial works of art with those whose design, qualities, or intended message are non-controversial, we first sought out controversial works. A variety of artworks were revealed on Instagram; thus, the objective was to identify a non-controversial artwork published in the same year as each controversial artwork. We adhered to the complete procedure for cleansing, standardizing, and transforming the data to ensure comparability. Popularity was measured using a ranking algorithm and quantitative approaches for the recognition and statistical measurement of emotions. In addition, the exhaustive literature survey on models of aesthetic experience revealed no link between the experience of art and its social media popularity. Considering this, we have proposed, among other things, a new framework for interacting with art that integrates these parameters. According to the findings, controversial artworks elicited stronger emotions than non-controversial artworks. Furthermore, investigations have determined the three most popular works of art in each category. Under the scrutiny of social media, these results may inspire future research on the popularity of museum artworks and the design of aesthetic experiences.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference138 articles.

1. Manovich, L. (2020). Cultural Analytics, The MIT Press.

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3. Samantha, R. (2022, October 25). ‘I Came, I Saw, I Selfied’: How Instagram Transformed The Way We Experience Art. Available online: https://www.npr.org/2017/12/13/570558113/i-came-i-saw-i-selfied-how-instagram-transformed-the-way-we-experience-art.

4. In the frame: The performative spectatorship of museum selfies;Hunter;Text Perform. Q.,2018

5. Is This Art? An Experimental Study on Visitors’ Judgement of Contemporary Art;Kirchberg;Cult. Sociol.,2014

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