Analyzing the Relationship Between an Artist's Background and the Popularity of Their Works in MoMA

Journal: Arts Studies and Criticism DOI: 10.32629/asc.v4i1.1311

Lina Li

Shenyang Conservatory of Music, Shenyang 110818, Liaoning, China

Abstract

This study delves into the intricate relationship between an artist's background (including nationality and gender) and the popularity of their artworks in the Museum of Modern Art (MoMA) in New York. Leveraging statistical methods, including Chi-squared tests and ANOVA, significant correlations between an artist's nationality, gender, and the popularity of their artworks were identified. Time series analysis further underscored evolving trends in MoMA's acquisition patterns over the years. The research also utilized a Random Forest classification model to predict artwork popularity, achieving an accuracy rate of 0.75. The findings shed light on the dynamics of art acquisitions and offer implications for diversifying and enhancing museum collections in the future.

Keywords

background, popularity, the Museum of Modern Art (MoMA), statistical method

References

[1] ASSIL C. MoMA and American Art: A Re-Evaluation of the Museum of Modern Art and its Presumed Eurocentric Attitude [J]. 2023.
[2] RADBOURNE J. Arts management: A practical guide [M]. Taylor & Francis, 2023.
[3] CURTIN A. Kathleen O'Connor of Paris [M]. Fremantle Press, 2018.
[4] WERSKEY G, WILSON N J J O A S. The Artists of the Atlas: Their Role in Creating Settler-Colonial Australia’s Visual Culture [J]. 2023, 47(2): 322-43.
[5] GAGLIARDI D M, CHIARELLA S G, MARENGHI F, et al. Redefining the role of Artificial Intelligence in artistic production [J]. 2023.
[6] FINDLAY M. The Value of Art (New, expanded edition): Money. Power. Beauty [M]. Prestel Verlag, 2022.
[7] DUARTE A, PéREZ-IBáñEZ M. Introducing the Art Market and the Global South [M]. The Art Market and the Global South. Brill. 2023: 1-15.
[8] ZHANG L. National Discourse National Discourse, Local Voice Local Voice: Contemporary Chinese Art of the 1980s [M]. The Spirit of Individualism: Shanghai Avant-Garde Art in the 1980s. Springer. 2023: 35-59.
[9] VUONG Q-H, BUI Q-K, LA V-P, et al. Cultural evolution in Vietnam's early 20th century: A Bayesian networks analysis of Hanoi Franco-Chinese house designs [J]. 2019, 1(1): 100001.
[10] QUEMIN A J S, ANTROPOLOGIA. The impact of nationality on the contemporary art market [J]. 2015, 5: 825-56.
[11] CHILDS S, KROOK M L J P. Gender and politics: The state of the art [J]. 2006, 26(1): 18-28.
[12] FREYTES FREY A, CROSS C J A R. Overcoming poor youth stigmatization and invisibility through art: A participatory action research experience in Greater Buenos Aires [J]. 2011, 9(1): 65-82.
[13] SRINIVASAN R, DENTON E, FAMULARO J, et al. Artsheets for Art Datasets; proceedings of the Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2), F, 2021 [C].
[14] ZHANG L, ZHANG L, DU B J I G, et al. Deep learning for remote sensing data: A technical tutorial on the state of the art [J]. 2016, 4(2): 22-40.
[15] Interquartile Range [M]. Wiley StatsRef: Statistics Reference Online, 2014.
[16] LIANG J J W C, COMPUTING M. Problems and Solutions of Art Professional Service Rural Revitalization Strategy Based on Random Forest Algorithm [J]. 2022, 2022(1): 1-11.

Copyright © 2023 Lina Li

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License