
PREDICTING THE ARTWORK’S BEAUTY: ELEMENTS OF PREDICTIVE AESTHETICS
(STEF92 Technology, 2014, Giuseppe Galetta)
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This paper presents the findings of an experiment conducted in an innovative way through the use of the most popular social network: Facebook. Exploiting the system of “like” and “share”, on which this online platform is based, thousands of artwork images were submitted to a sample of over 10,000 users worldwide. Through the metrics analysis related to the aesthetic choices expressed by the users, it was observed that viewers are inclined to react in the same way towards certain visual stimuli coming from ...
