Using Instagram Picture Features to Predict Users' Personality
Sprache des Titels:
International Conference on Multimedia Modelling
Instagram is a popular social networking application, which
allows photo-sharing and applying different photo filters to adjust the
appearance of a picture. By applying these filters, users are able to create
a style that they want to express to their audience. In this study
we tried to infer personality traits from the way users manipulate the
appearance of their pictures by applying filters to them. To investigate
this relationship, we studied the relationship between picture features
and personality traits. To collect data, we conducted an online survey
where we asked participants to fill in a personality questionnaire, and
grant us access to their Instagram account through the Instagram API.
Among 113 participants and 22,398 extracted Instagram pictures, we
found distinct picture features (e.g., relevant to hue, brightness, saturation)
that are related to personality traits. Our findings suggest a relationship
between personality traits and these picture features. Based on
our findings, we also show that personality traits can be accurately predicted.
This allow for new ways to extract personality traits from social
media trails, and new ways to facilitate personalized systems.