Quantitative analysis of large-scale cultural data

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I am interested in the analysis of large, naturally occurring, datasets to investigate (especially modern) human cultural dynamics. For example, I used data on dog registrations to analyse whether their popularity is due to individual considerations or to social influence (the latter, it seems), data from Google Books and the Gutenberg project to analyse the change in the expression of emotions through the last centuries, data on baby names and last.fm playlists to detect whether the turnover in popularity of cultural traits can give us some indication of the learning biases involved, or data on folktales, to check whether their complexity is correlated with the size of the population were they are diffused. I recently studied the cultural evolution of emotion words in a large (>150,000 songs) data set of English-language song lyrics.

Alberto Acerbi

Cultural Evolution / Cognitive Anthropology / Individual-based modelling / Computational Social Science / Digital Media