A quantitative comparison of viral and hit songs in the Brazilian music market

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DOI:

https://doi.org/10.33871/vortex.2024.12.8727

Keywords:

song virality, musical success, quantitative analysis, Brazil

Abstract

It is common for songs to go viral on streaming platforms and social media, but not all viral songs become hits. In this context, we aim to discover what differs viral from hit songs beyond their definition. We do so by using a quantitative methodology over charts in the Brazilian market. We compare hit and viral songs regarding their intrinsic and extrinsic characteristics, and our results reveal significant differences between them. Features such as music genres, lyrics topics, and emotions emerge as crucial elements to distinguishing such songs within the Brazilian context. Furthermore, temporal features indicate differences in the diffusion processes between hits and virals. Overall, this study offers insights into music consumption in Brazil, revealing the connection between song features and their success and virality on streaming platforms.

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Author Biographies

Gabriel Oliveira, Universidade Federal de Minas Gerais

Gabriel P. Oliveira is a Ph.D. student in the Computer Science Graduate Program at Universidade Federal de Minas Gerais, Brazil. He received the B.Sc. and M.Sc. degrees in Computer Science from UFMG in 2018 and 2021, respectively. He is currently a member of the Laboratory of Interdisciplinary Computer Science (CS+X) and Data Scientist in the Analytical Capabilities Project. His research interests include social computing, data science and social network analysis, with a strong emphasis on collaborative domains.

Ana Paula Couto da Silva, Universidade Federal de Minas Gerais

Ana Paula Couto da Silva earned her PhD degree in Computer and System Engineering from the Federal University of Rio de Janeiro (2006). She was with IRISA-Rennes in 2005 and 2007, and with Politecnico di Torino in 2008 (as post-doc), 2016 (as visiting professor) and 2018 (as visiting researcher). She is with the Computer Science Department at the Federal University of Minas Gerais since 2013 as associate professor. She has productivity in research scholarship (Bolsa PQ - CNPq) level 2. Her areas of interest are in the field of network science, social computing and analysis of computer systems and green networking.

Mirella Moro, Universidade Federal de Minas Gerais

Mirella M. Moro, PhD, works in the Computer Science Department at Universidade Federal de Minas Gerais, Brazil. Her research interests include data-driven research, computing on culture, gender diversity, and education in Computer Science. She is also an advocate for increasing women participation in Computing and Technology and coordinates the Digital Girls Program at the Brazilian Computer Society.

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Published

2024-09-07

How to Cite

Oliveira, G., Couto da Silva, A. P., & Moro, M. (2024). A quantitative comparison of viral and hit songs in the Brazilian music market. Vortex Music Journal, 12, 1–29. https://doi.org/10.33871/vortex.2024.12.8727

Issue

Vol. 12 (2024): Revista Vórtex

Section

Research Papers

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Copyright (c) 2024 Gabriel P. Oliveira, Ana Paula Couto da Silva, Mirella M. Moro

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