Paper Info
Title
Predicting Big Five Personality Traits of Microblog Users
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.
Year
DOI
Venue
2013
10.1109/WI-IAT.2013.70
Web Intelligence
Keywords
DocType
Volume
big-five personality,conventional personality assessment,self-report inventory,multi-task regression,high accuracy,personal characteristics,regression analysis,sina microblog,online behavior,online microblog usage,personality,predic-tion,user study,microblog users,incremental regression algorithm,psychology,multitask regression algorithm,behavioural sciences computing,predicting big,regression,data mining,sina microblogs,social networking (online),personality assessment,big five personality trait prediction,personality traits,central importance,big five personality
Conference
1
ISBN
Citations 
PageRank 
978-1-4799-2902-3
13
0.69
References 
Authors
11
6
Name
Order
Citations
PageRank
Shuotian Bai1525.76
Bibo Hao2576.56
Ang Li3425.37
Sha Yuan4184.82
Rui Gao5533.67
Tingshao Zhu619233.61