How smart does your profile image look? Estimating intelligence from social network profile images
June 29, 2016 Β· Declared Dead Β· π Web Search and Data Mining
"No code URL or promise found in abstract"
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Authors
Xingjie Wei, David Stillwell
arXiv ID
1606.09264
Category
cs.CV: Computer Vision
Cross-listed
cs.MM,
cs.SI
Citations
29
Venue
Web Search and Data Mining
Last Checked
3 months ago
Abstract
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 insights into inaccurate stereotyping from profile images and also have implications for privacy, especially since in most social networks profile images are public by default.
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