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.
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.
Authors: Margaret L Kern; Paul X McCarthy; Deepanjan Chakrabarty; Marian-Andrei Rizoiu Journal: Proc Natl Acad Sci U S A Date: 2019-12-16 Impact factor: 11.205
Authors: Giancarlo Pasquini; Giselle Ferguson; Isabella Bouklas; Huy Vu; Mohammadzaman Zamani; Ruixue Zhaoyang; Karra D Harrington; Nelson A Roque; Jacqueline Mogle; H Andrew Schwartz; Stacey B Scott Journal: PLoS One Date: 2022-02-23 Impact factor: 3.752
Authors: Vivek Kulkarni; Margaret L Kern; David Stillwell; Michal Kosinski; Sandra Matz; Lyle Ungar; Steven Skiena; H Andrew Schwartz Journal: PLoS One Date: 2018-11-28 Impact factor: 3.240