作者
Jennifer Golbeck, Cristina Robles, Michon Edmondson, Karen Turner
发表日期
2011/10/9
研讨会论文
2011 IEEE third international conference on privacy, security, risk and trust and 2011 IEEE third international conference on social computing
页码范围
149-156
出版商
IEEE
简介
Social media is a place where users present themselves to the world, revealing personal details and insights into their lives. We are beginning to understand how some of this information can be utilized to improve the users' experiences with interfaces and with one another. In this paper, we are interested in the personality of users. Personality has been shown to be relevant to many types of interactions, it has been shown to be useful in predicting job satisfaction, professional and romantic relationship success, and even preference for different interfaces. Until now, to accurately gauge users' personalities, they needed to take a personality test. This made it impractical to use personality analysis in many social media domains. In this paper, we present a method by which a user's personality can be accurately predicted through the publicly available information on their Twitter profile. We will describe the type of data …
引用总数
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学术搜索中的文章
J Golbeck, C Robles, M Edmondson, K Turner - 2011 IEEE third international conference on privacy …, 2011