Predicting Active Users' Personality Based on Micro-Blogging Behaviors

	Predicting Active Users' Personality Based on Micro-Blogging Behaviors
	Li, Lin 1,2; Li, Ang 1,2; Hao, Bibo 1,2; Guan, Zengda 1,2; Zhu, Tingshao1
刊名	PLOS ONE
	2014-01-22
卷号	9 期号:1 页码:1-11
ISSN号	1932-6203
英文摘要	Because of its richness and availability, micro-blogging has become an ideal platform for conducting psychological research. In this paper, we proposed to predict active users' personality traits through micro-blogging behaviors. 547 Chinese active users of micro-blogging participated in this study. Their personality traits were measured by the Big Five Inventory, and digital records of micro-blogging behaviors were collected via web crawlers. After extracting 845 micro-blogging behavioral features, we first trained classification models utilizing Support Vector Machine (SVM), differentiating participants with high and low scores on each dimension of the Big Five Inventory. The classification accuracy ranged from 84% to 92%. We also built regression models utilizing PaceRegression methods, predicting participants' scores on each dimension of the Big Five Inventory. The Pearson correlation coefficients between predicted scores and actual scores ranged from 0.48 to 0.54. Results indicated that active users' personality traits could be predicted by micro-blogging behaviors.
收录类别	SCI
语种	英语
WOS记录号	WOS:000330283100019
内容类型	期刊论文
源URL	[http://ir.psych.ac.cn/handle/311026/13443]
专题	心理研究所_社会与工程心理学研究室
作者单位	1.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp & Control, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Lin,Li, Ang,Hao, Bibo,et al. Predicting Active Users' Personality Based on Micro-Blogging Behaviors[J]. PLOS ONE,2014,9(1):1-11.
APA	Li, Lin,Li, Ang,Hao, Bibo,Guan, Zengda,&Zhu, Tingshao.(2014).Predicting Active Users' Personality Based on Micro-Blogging Behaviors.PLOS ONE,9(1),1-11.
MLA	Li, Lin,et al."Predicting Active Users' Personality Based on Micro-Blogging Behaviors".PLOS ONE 9.1(2014):1-11.