Characterization of the Brazilian musical landscape : a study of regional preferences based on the Spotify charts.
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2024
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In the digital age, streaming services such as Spotify have changed
the way people consume music, highlighting the enormous influence these platforms have on the market. In the highly competitive
music industry, it is crucial for independent artists in particular to
maintain their popularity. This is especially true in countries like
Brazil, where geographical and cultural differences influence music
consumption patterns. Understanding these patterns is essential for
effective marketing and production strategies. Despite previous research on music consumption, genre preferences and user behavior,
there is a lack of detailed studies on the geographical and cultural
distribution of music preferences in Brazil. Our study fills this gap
by examining musical genre preferences and acoustic features of
tracks across Brazilian regions over two years. We collected Spotify chart data from 2022 and 2023, modeled bipartite genre-city
networks, and used backbone extraction methods to highlight significant genre preferences. Temporal analysis revealed patterns and
persistence of musical preferences across cities, while clustering
techniques revealed regional and cultural differences in acoustic
features. Our results show that genre preferences are stable across
Brazilian regions, with important genres emphasized by backbone
networks. Persistence analysis suggests minimal changes over time,
except during major holidays. Furthermore, Brazilian city clusters
exhibit distinct acoustic patterns regardless of music genres, with
notable differences in features such as liveliness, speechiness, and
valence. This research provides new insights into regional musical
diversity in Brazil and paves the way for future studies on cultural
and geographical influences on music preferences.
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Palavras-chave
Music preferences, Music genre networks, Regional analysis, Music data mining
Citação
MOURA, F. A. S. de; FERREIRA, C. H. G.; LIMA, H. de C. S. da C. Characterization of the Brazilian musical landscape: a study of regional preferences based on the Spotify charts. In: BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB (WEBMEDIA), 30., Juiz de Fora/MG. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2024. p. 80-88. Disponível em: <https://sol.sbc.org.br/index.php/webmedia/article/view/30300>. Acesso em: 22 out. 2024.