Predicting Active Users' Personality Based on Micro-Blogging Behaviors
文献类型：期刊论文
| 作者 | Li, Lin1,2; Li, Ang1,2; Hao, Bibo1,2; Guan, Zengda1,2; Zhu, Tingshao1
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| 刊名 | PLOS ONE
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：心理研究所
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