Your digital image: factors behind demographic and psychometric predictions from social network profiles
Your digital image: factors behind demographic and psychometric predictions from social network profiles
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您的数字形象：社交网络资料中人口统计和心理测量预测背后的因素
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
D. Stillwell
中科院分区：
文献类型：
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作者：
Yoram Bachrach;T. Graepel;Pushmeet Kohli;Michal Kosinskihttps://www.semanticscholar.org/me/account;D. Stillwell
我们展示了从社交网络档案中收集的信息如何用于预测个人属性，如性别和年龄、宗教和政治观点、智力、幸福和人格特征。我们的方法是基于将机器学习技术应用于一个庞大的数据集，这些数据集的人自愿提供他们的Facebook个人资料以及他们的人口统计和心理测试结果。我们结合了个人资料中的各种功能，包括发布状态更新的数量或比率、图片和群组成员，以及个人喜欢的特定项目。我们的系统提供了关于如何做出预测的见解，允许人们了解其他人如何根据他们的社交网络资料来看待他们。
We demonstrate how information gathered from social network profiles can be used to predict personal attributes such as gender and age, religious and political views, intelligence, happiness and personality traits. Our approach is based on applying machine learning techniques to a large dataset of people who volunteered their Facebook profiles along with their demographic and psychometric test results. We combine various features from the profile, including the numbers or rates of posting status updates, pictures and group memberships, and the specific items liked by individuals. Our system provides insights regarding how the predictions are made, allowing people to understand how they may be perceived by others based on their social network profiles.