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Predicting Big Five Personality Traits of Microblog Users
Shuotian Bai; Bibo Hao; Ang Li; Sha Yuan; Rui Gao; Tingshao Zhu
First AuthorShuotian Bai
2013-11
Conference Name12th IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT)
Correspondent Emailtszhu@psych.ac.cn
Source Publication2013 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT)
Volume1
Issue不详
Pages501-508
Conference DateNOV 17-20, 2013
Conference PlaceAtlanta, GA
Abstract

Personality can be defined as a set of characteristics which makes a person unique. The study of personality is of central importance in psychology. Conventional personality assessment is performed by self-report inventory, which costs much manual efforts and cannot be done in real time. To solve these problems, this research aims to measure the Big-Five personality from the usages of Sina Microblog objectively. By conducting a user study with 444 users, this paper proposes multi-task regression and incremental regression algorithms to predict the Big-Five personality from online behaviors. The results indicate that personality can be predicted with a high accuracy through online Microblog usage.

KeywordPersonalit Sina Microblogs Regression Prediction Big-five Personality
DOI10.1109/WI-IAT.2013.70
Language英语
Citation statistics
Cited Times:18[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/26553
Collection社会与工程心理学研究室
AffiliationChinese Acad Sci, Inst Psychol, Univ Chinese Acad Sci, Beijing , Peoples R China.
Recommended Citation
GB/T 7714
Shuotian Bai,Bibo Hao,Ang Li,et al. Predicting Big Five Personality Traits of Microblog Users[C],2013:501-508.
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