Roblox users with an identified gender tend to choose avatars that reflect it. One of the most striking attributes of our clusters are their lopsided gender splits: most clusters are almost entirely male or female, with only a few heterogeneous groups. Saudi Arabia Frequency of Clusters (cluster 7 is a female-dominated cluster) Attribution: Agência Brasil Fotografias, CC BY 2.0, via Wikimedia Commons Attribution: Marcelo Camargo/ABr, CC BY 3.0 BR, via Wikimedia Commons Right: Neymar. Given Brazil’s national colors, the prominence of soccer there, and the hairstyles of their celebrities, this makes sense. In Brazil, we see that male-looking avatars with green sports jerseys and a brown, faux-hawk hairstyle (cluster 15 below) are disproportionately popular relative to other countries. On the other hand, some geographic archetypes might be rooted in culture.
Sometimes, this is due to demographic reasons: in Saudi Arabia, for instance, there are more self-reported women than men on Roblox, which plays out as a boost in popularity to the female-looking avatar clusters. This is reflected in our data: when plotting cluster frequencies in different countries, we see dramatic aesthetic variations. Roblox is a global platform, and every culture is unique. While we observe some variability in the age distribution of different clusters, in general there’s more overlap than differentiation, with only a few statistically significant deviations. Do older or younger users have different aesthetic preferences? Surprisingly, the answer is largely “no!” AgeĪge is a substantive but easy place to start. In Part 2, we continue our investigation into avatar and identity to better understand how users’ real-life identifiers intersect with their Roblox identities. In our previous post, we analyzed avatar aesthetics to better understand the behaviors of Roblox users. Read Part 1 of this blog post from our Data Science team here.
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