Personality and patterns of Facebook usage
Personality and patterns of Facebook usage
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DOI：
10.1145/2380718.2380722
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发表时间：
2012-06
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通讯作者：
Yoram Bachrach;Michal Kosinskihttps://www.semanticscholar.org/me/account-Michal-Kosinskihttps:-www.semanticscholar.org-me-2654865;T. Graepel;Pushmeet Kohli;D. Stillwell
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作者：
Yoram Bachrach;Michal Kosinskihttps://www.semanticscholar.org/me/account-Michal-Kosinskihttps:-www.semanticscholar.org-me-2654865;T. Graepel;Pushmeet Kohli;D. Stillwell
我们展示了用户在Facebook上的活动与他们的个性之间的关系，这是通过标准的五因素模型来衡量的。我们的数据集包括18万用户的个性档案和Facebook个人资料数据。我们研究了用户的个性和他们的Facebook个人资料的属性之间的相关性，例如他们的友谊网络的大小和密度，上传的照片数量，参加的活动数量，组成员数量，以及用户在照片中被标记的次数。我们的研究结果表明，人格特质和Facebook个人资料的各种功能之间存在显着的关系。然后，我们将展示如何多元回归允许预测的个性特征的个人用户给定他们的Facebook的个人资料。外向性和神经质的预测准确度最高，易受攻击性的预测准确度最低，开放性和尽责性的预测准确度居中。
We show how users' activity on Facebook relates to their personality, as measured by the standard Five Factor Model. Our dataset consists of the personality profiles and Facebook profile data of 180,000 users. We examine correlations between users' personality and the properties of their Facebook profiles such as the size and density of their friendship network, number uploaded photos, number of events attended, number of group memberships, and number of times user has been tagged in photos. Our results show significant relationships between personality traits and various features of Facebook profiles. We then show how multivariate regression allows prediction of the personality traits of an individual user given their Facebook profile. The best accuracy of such predictions is achieved for Extraversion and Neuroticism, the lowest accuracy is obtained for Agreeableness, with Openness and Conscientiousness lying in the middle.