Como fazer um hit: fatores associados ao consumo musical no Spotify
DOI:
https://doi.org/10.22398/2525-2828.1028112-134Palavras-chave:
Culture. Consumption. Spotify. Audio features.Resumo
A digitalização transformou o consumo cultural. As análises realizadas buscaram aprofundar o en- tendimento das preferências dos consumidores no mercado musical, que tem passado por transformações significativas com o advento do streaming nos últimos anos. Dessa forma, o objetivo deste estudo foi investigar as características das músicas mais ouvidas nas plataformas digitais e explorar os fatores que contribuem para que uma música se torne um sucesso no Spotify. Os dados foram obtidos diretamente da plataforma por meio da ferramenta Web API fornecida pelo próprio serviço de streaming. O conjunto de dados utilizado abrange 562.453 músicas lançadas entre 1922 e 2021, considerando informações de ouvintes e artistas em escala global. As análises foram conduzidas por meio de um modelo binomial negativo inflado de zeros para examinar as interações entre diferentes indicadores disponíveis no Spotify (características sonoras) e a popularidade das faixas na plataforma. Em média, músicas com valores mais elevados para as variáveis de conteúdo explícito, dançabilidade e energia apresentaram maior popularidade no Spotify.
Referências
ALVES, Elder P. Maia. A digitalização do simbólico e o capitalismo cultural-digital: a expansão dos serviços culturais-digitais no Brasil. Revista Sociedade e Estado, Brasília, v. 34, n.1, p. 129-157, jan. 2019.
AUBREY Jennifer Stevens; FRISBY Cynthia M. Sexual objectification in music videos: A content analysis comparing gender and genre. Mass Communication and Society, v. 14, n. 4, p. 475-501, jul. 2011.
BAKHSHI, Hasan; THROSBY, David. New technologies in cultural institutions: theory, evidence, and policy implications. International Journal of Cultural Policy, Inglaterra, v. 18, n. 2, p. 205-222, mar. 2012.
BENNETT, Andy. Towards a cultural sociology of popular music. Journal of Sociology, Austrália, v. 44, n. 4, p. 419-432, dez. 2008.
BORJA, Karla; DIERINGER, Suzanne. Streaming or stealing? The complementary features between music streaming and music piracy. Journal of Retailing and Consumer Services, Holanda, v. 32, p. 86-95, set. 2016.
BREUSCH, Trevor S.; PAGAN, Adrian R. A Simple Test for Heteroscedasticity and Random Coefficient Variation. Econometrica, v. 47, n. 5, p. 1287-1294, set. 1979.
CAMERON, Adrian Colin; TRIVEDI, Pravin K. Microeconometrics: Methods and Applications. Cambridge: Cambridge University Press, 2013.
COHEN, Daniel. To Monopolise Our Ears. London Review of Books, v. 45, n. 9, 2023.
CORNING, Jonathan; LEVY, Armando. Demand for Live Theater with Market Segmentation and
Seasonality. Journal of Cultural Economics, Nova York, v. 26, n. 3, p. 217-35, 2002.
DATTA, Hannes; KNOX, George; BRONNENBERG, Bart J. Changing Their Tune: How Consumers’ Adoption of Online Streaming Affects Music Consumption and Discovery. Marketing Science, Catonsville, v. 37, n. 1, p. 5-21, jan. 2018.
DEWALL, C. Nathan; POND, Richard S.; CAMPBELL, W. Keith; TWENGE, Jean M. Tuning in to psychological change: Linguistic markers of psychological traits and emotions over time in popular U.S. song lyrics. Psychology of Aesthetics, Creativity, and the Arts, Washington, v. 5, n. 3, p. 200- 207, ago. 2011.
DUMAN, Denis; NETO, Pedro; MAVROLAMPADOS, Anastasios; TOIVIAINEN, Petri; LUCK, Geoff. Music we move to: Spotify audio features and reasons for listening. Plos One, v. 17, n. 9, e0275228, set. 2022.
ELIAS, Norbert. The civilizing process: sociogenetic and psychogenetic investigations. Malden, Massachusetts: Blackwell Publishing, 2010.
FEBIRAUTAMI, Limisgy Ramadhina; SURJANDARI, Isti; LAOH, Enrico. Determining Characteristics of Popular Local Songs in Indonesia’s Music Market. In: INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE), 5., 2018. p. 197-201.
GAO, Andrea. Catching the Earworm: Understanding Streaming Music Popularity Using Machine Learning Models. E3S Web of Conferences, v. 253, p. 03024, 2021.
GRAHN, Jessica A.; BRETT, Matthew. Rhythm and beat perception in motor areas of the brain. Journal of Cognitive Neuroscience, v. 19, n. 5, p. 893-906, 2007.
HEBDIGE, Dick. Subculture: The Meaning of Style. Londres: Routledge, 1979.
HOBBS, Dawn R.; GALLUP, Gordon G. Songs as a medium for embedded reproductive messages. Evolutionary Psychology, v. 9, n. 3, p. 390-416, jul. 2011.
KÜBLER, Raoul; SEIFERT, Rouven; KANDZIORA, Michael. Content valuation strategies for digital
subscription platforms. Journal of Cultural Economics, v. 45, n. 2, p. 295-326, 2021.
LONG, J. Scott. Regression Models for Categorical and Limited Dependent Variables. Thousand Oaks, CA: Sage, 1997.
LONG, J. Scott; FREESE, Jeremy. Predicted Probabilities for Count Models. The Stata Journal, v. 1, n. 1, p. 51-57, nov. 2001.
LONG J. Scott; FREESE, Jeremy. Regression models for categorical dependent variables using Stata. 3rd. ed. College Station, Texas: Stata Press Publication, 2014.
MADANIKIA, Yasaman; BARTHOLOMEW, Kim. Themes of Lust and Love in Popular Music Lyrics from 1971 to 2011. Sage Open, Nova York, v. 4, n. 3, p. 1-8, 2014.
MCKENZIE, Jordi; SHIN, Sunny Y. Demand. In: TOWSE, Ruth. Handbook of Cultural Economics. Cheltenham: Edward Elgar, 2020. p. 216-227.
MENON, V.; LEVITIN, D. J. The rewards of music listening: Response and physiological connectivity of the mesolimbic system. NeuroImage, v. 28, n. 1, p. 175-184, out. 2005.
NAPIER, Katleen; SHAMIR, Lior. Quantitative Sentiment Analysis of Lyrics in Popular Music. Journal of Popular Music Studies, v. 30, n. 4, p. 161-176, dez. 2018.
NGUYEN, Godefroy Dang; DEJEAN, Sylvain; MOREAU, François. On the complementarity between online and offline music consumption: the case of free streaming. Journal of Cultural Economics, v. 38, n. 4, p. 315-330, 2014.
NIJKAMP, Rutger. Prediction of product success: explaining song popularity by audio features from Spotify data. 2018 Tese - Faculty of Behavioural, Management and Social sciences, University of Twente, Enschede, 2018.
NORTH, A. C.; HARGREAVES, David J. Situational influences on reported musical preference. Psychomusicology: A Journal of Research in Music Cognition, v. 15, n. 1-2, p. 30-45, 1996.
PÉREZ-VERDEJO, J. Manuel; PIÑA-GARCÍA, C. A.; OJEDA, Mario Miguel; RIVERA-LARA, A.; MÉNDEZ- MORALES, L. The rhythm of Mexico: an exploratory data analysis of Spotify’s top 50. Journal of Computational Social Science, Singapura, v. 4, n. 1, p. 147-161, 2021.
PEUKERT, Christian. The next wave of digital technological change and the cultural industries. Journal of Cultural Economics, v. 43, n. 2, p. 189-210, 2019.
PRIMACK, Brian A.; DALTON, Madeline A.; CARROL, Mary V.; AGARWAL, Aaron A.; FINE, Michael J. Content analysis of tobacco, alcohol, and other drugs in popular music. Archives of Pediatrics & Adolescent Medicine, Pittsburgh, v. 162, n. 2, p. 169-175, fev. 2008.
RIAA - Recording Industry Association of America. RIAA Mid-Year 2023 Revenue Report. Washington, 2023.
ROSE, T. Black noise: Rap music and Black Culture in Contemporary America. Hanover, New Hampshire: Weskeyan University Press, 1994.
SCHELLENBERG, E. Glenn; VON SCHEVE, Christian. Emotional cues in American popular music: Five decades of the Top 40. Psychology of Aesthetics, Creativity, and the Arts, v. 6, n. 3, p. 196-203, ago. 2012.
SPOTIFY. Nearly a Quarter of All Streams on Spotify Are Hip-Hop. Spotify’s Global Editors Reflect on the Genre’s Growth. Spotify, 2023. Available at: https://newsroom.spotify.com/2023-08-10/hip-hop-50-murals-new-york-atlanta-miami-los-angeles/. Access on: Oct. 5, 2023.
SPOTIFY. Spotify: Web API. Spotify, s.d. Available at: https://developer.spotify.com/documentation/ web-api. Access on: Apr. 23, 2023.
SPOTIFY. What The World Streamed Most in 2021. For the Record, Estocolmo, 1 de dez. de 2021. Available at: https://newsroom.spotify.com/2021-12-01/what-the-world-streamed-most-in-2021//. Access on: Oct. 26, 2023.
VINDEGAARD, Nina; BENROS, Michael Eriksen. COVID-19 pandemic and mental health consequences: Systematic review of the current evidence. Brain, Behavior, and Immunity, v. 89, p. 531-542, 2020.
YEUNG, Timothy Yu-Cheong. Did the COVID-19 Pandemic Trigger Nostalgia? Evidence of Music Consumption on Spotify. SSRN Electronic Journal, 2020.
Downloads
Publicado
Edição
Seção
Licença
Copyright (c) 2025 Ana Flávia Machado, Gabriel Henrique Galvão, Lucas Resende de Carvalho

Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Os direitos autorais para artigos publicados nesta revista são do autor, com direitos de primeira publicação para a revista.
Ressaltamos que a responsabilidade dos artigos é de exclusividade do(s) autor(es) e não reflete, necessariamente, a opinião dos Editores ou da ESPM.