We also found that responses differed based on different survey question phrasings, indicating that the shift in facial perception due to the prevalence of filtered images is noisy to detect. Our results indicate that faces filtered with photo editing filters that change the image color tones, modify facial structure, or add facial beautification tend to be perceived similarly to unmodified faces however, faces filtered with augmented reality filters ( extit filters that overlay digital objects) are perceived differently from unmodified faces.

Considering the important role of human facial perception in social communication, how does exposure to an increasing number of modified faces online affect human facial perception? In this paper we present the results of six surveys designed to measure familiarity with different styles of facial filters, perceived strangeness of faces edited with different facial filters, and ability to discern whether images are filtered or not. Augmented reality and other photo editing filters are popular methods used to modify images, especially images of faces, posted online.

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