How Smart Does Your Profile Image Look?: Estimating Intelligence from Social Network Profile Images

Xingjie Wei, D. Stillwell
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引用次数: 24

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.
你的头像看起来有多聪明?:从社交网络个人资料图像中估计智能
社交网络上的头像是用户展示自己、影响他人评价自己的机会。我们研究了Facebook图片对用户感知和测量的智力的影响。1122名Facebook用户完成了一项矩阵智力测试,并分享了他们目前在Facebook上的头像。陌生人也对这些照片的智商进行了评分。我们使用自动提取的图像特征来预测测量和感知的智能。即使对人类来说,从图像中进行智能估计也是一项困难的任务,但实验结果表明,使用计算方法可以达到人类的精度。我们报告了预测测量和感知智力的图像特征,并强调了误导性特征,如“微笑”和“戴眼镜”,这些特征与感知智力相关,但与测量智力无关。我们的研究结果揭示了个人资料图片中不准确的刻板印象,也对隐私有影响,特别是在大多数社交网络中,个人资料图片默认是公开的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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