This list of 16 emotions emerged as a result of a machine-learning analysis of large-scaled video material from 144 countries in Arabic, English, French, German, Indonesian, Italian, Japanese, Korean, Mandarin, Polish, Portuguese, Russian, Spanish, Thai, Turkish, and Vietnamese languages. The purpose of the study was to find out what facial expressions are associated with various naturalistic social contexts and determine culturally universal patterns of context–expression association.