Predicting Active Users' Personality Based on Micro-Blogging Behaviors

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	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
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.
	2014-01-22
语种	英语
发表期刊	PLOS ONE
ISSN	1932-6203
卷号	9 期号:1 页码:1-11
期刊论文类型	实证研究
URL	查看原文
收录类别	SCI
WOS记录号	WOS:000330283100019
引用统计	被引频次：40[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.psych.ac.cn/handle/311026/48345
专题	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
第一作者单位	中国科学院心理研究所
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.