What Does Data Want?
Many academic disciplines use data science to analyze contemporary culture. The question posed by Lev Manovich in this lecture is: shall we continue to aggregate big cultural data and reduce it to a small set of patterns? Or shall we refuse this dominant paradigm instead and focus on diversity, variability and differences (including tiny ones), i.e., work on big cultural data without aggregation and with attention to what is infrequent and outliers?