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<p>Music is arguably one of the most meaningful and widespread forms of communication. Music is also a medium for people’s self-definition and identification. Extensive evidence suggests that musical taste reveals deeper attributes, such as socioeconomic position and individual characteristics, due to the various functions that music fulfills in our lives. This research draws on unique data collected during the 2021 Canadian federal election and the 2022 Quebec general election, using digital data collection to investigate how fans of different music genres might differ in their voting intentions, personality traits, and sociodemographic characteristics. By linking the answers to a single question on Datagotchi to MusicBrainz, an open database, we are able to collect a wealth of other music-related information on users. Among significant findings, we discover that music preferences vary widely across socioeconomic groups, and that certain personality traits are clearly associated with musical preferences, particularly for specific music fan groups. Significant correlations also emerge between music preferences and vote intentions, with Conservatives standing out from other groups. These findings suggest that music preferences convey significant information and are worthy of scientific attention by social scientists. More generally, this analysis aims to provoke a reflection on the ethical issues raised by the value of musical (and more broadly lifestyle) data in a digital world.</p>

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Striking a major chord: music preferences as predictors of vote intentions in Canada

  • 期刊论文

  • 发表日期：

    2025年8月26日

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  • Catherine Ouellet,
  • Nadjim Fréchet,
  • Simon Coulombe

摘要

Music is arguably one of the most meaningful and widespread forms of communication. Music is also a medium for people’s self-definition and identification. Extensive evidence suggests that musical taste reveals deeper attributes, such as socioeconomic position and individual characteristics, due to the various functions that music fulfills in our lives. This research draws on unique data collected during the 2021 Canadian federal election and the 2022 Quebec general election, using digital data collection to investigate how fans of different music genres might differ in their voting intentions, personality traits, and sociodemographic characteristics. By linking the answers to a single question on Datagotchi to MusicBrainz, an open database, we are able to collect a wealth of other music-related information on users. Among significant findings, we discover that music preferences vary widely across socioeconomic groups, and that certain personality traits are clearly associated with musical preferences, particularly for specific music fan groups. Significant correlations also emerge between music preferences and vote intentions, with Conservatives standing out from other groups. These findings suggest that music preferences convey significant information and are worthy of scientific attention by social scientists. More generally, this analysis aims to provoke a reflection on the ethical issues raised by the value of musical (and more broadly lifestyle) data in a digital world.