Crowdsourcing architectural beauty: Online photo frequency predicts building aesthetic ratings.

ABSTRACT: The aesthetic quality of the built environment is of paramount importance to the quality of life of an increasingly urbanizing population. However, a lack of data has hindered the development of comprehensive measures of perceived architectural beauty. In this paper, we demonstrate that the local frequency of geotagged photos posted by internet users in two photo-sharing websites strongly predict the beauty ratings of buildings. We conduct an independent beauty survey with respondents rating proprietary stock photos of 1,000 buildings across the United States. Buildings with higher ratings were found more likely to be geotagged with user-uploaded photos in both Google Maps and Flickr. This correlation also holds for the beauty rankings of raters who seldom upload materials to the internet.

SUBMITTER: Saiz A 

PROVIDER: S-EPMC6059390 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature