The Online Social Self An Open Vocabulary Approach to Personality

被引：83

作者：

Kern, Margaret L. ^{[1
]}

Eichstaedt, Johannes C. ^{[1
]}

Schwartz, H. Andrew ^{[1
]}

Dziurzynski, Lukasz ^{[1
]}

Ungar, Lyle H. ^{[1
]}

Stillwell, David J. ^{[2
]}

Kosinski, Michal ^{[2
]}

Ramones, Stephanie M. ^{[1
]}

Seligman, Martin E. P. ^{[1
]}

机构：

[1] Univ Penn, Philadelphia, PA 19104 USA

[2] Univ Cambridge, Cambridge, England

来源：

ASSESSMENT | 2014年 / 21卷 / 02期

关键词：

computational social science; linguistic analysis; online studies; interdisciplinary research; Big Five personality; LANGUAGE USE; MANIFESTATIONS; TRAITS; WORDS;

D O I：

10.1177/1073191113514104

中图分类号：

B849 [应用心理学];

学科分类号：

040203 ;

摘要：

Objective: We present a new open language analysis approach that identifies and visually summarizes the dominant naturally occurring words and phrases that most distinguished each Big Five personality trait. Method: Using millions of posts from 69,792 Facebook users, we examined the correlation of personality traits with online word usage. Our analysis method consists of feature extraction, correlational analysis, and visualization. Results: The distinguishing words and phrases were face valid and provide insight into processes that underlie the Big Five traits. Conclusion: Open-ended data driven exploration of large datasets combined with established psychological theory and measures offers new tools to further understand the human psyche.

引用

页码：158 / 169

页数：12

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