University of Cambridge > Talks.cam > Cambridge Psychometrics Centre Seminars > How smart does your profile image look? Estimating intelligence from social network profile images

How smart does your profile image look? Estimating intelligence from social network profile images

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Profile images on social networks are users’ opportunity to present themselves and to affect how others judge them. We examine what Facebook images say about users’ perceived and measured intelligence. 1,122 Facebook users completed a matrices intelligence test and shared their current Facebook profile image. Strangers also rated the images for perceived intelligence. We use automatically extracted image features to predict both measured and perceived intelligence. Intelligence estimation from images is a difficult task even for humans, but experimental results show that human accuracy can be equalled using computing methods. We report the image features that predict both measured and perceived intelligence, and highlight misleading features such as “smiling” and “wearing glasses” that are correlated with perceived but not measured intelligence. Our results give in- sights into inaccurate stereotyping from profile images and also have implications for privacy, especially since in most social networks profile images are public by default.

This talk is part of the Cambridge Psychometrics Centre Seminars series.

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