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Analysis Of Personality, Gender, And Age In The Language Of Social Media

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Personality, Gender, and Age in the Language of Social Media This article was published in the PLOS ONE journal volume 9 on September 25, 2013. It was received for publication on January 23, 2013 and accepted for publication on July 29, 2013. The study was conducted by a group of scientists in the University of Warwick which is located in the United Kingdom. These scientists were H. Andrew Schwartz mail, Johannes C. Eichstaedt, Margaret L. Kern, Lukasz Dziurzynski, Stephanie M. Ramones, Megha Agrawal, Achal Shah, Michal Kosinski, David Stillwell, Martin E. P. Seligman and Lyle H. Ungar. This study examined the language used in facebook as an indicator of individual differences. The focus of the study was on age, gender, personality and how they affect the use of language. Two approaches were used in the study: the first approach is closed vocabulary or word-category lexica which was used in many previous studies. The second approach is the open- vocabulary or differential language analysis (DLA). It is the technique generated by the scientists of this study. The complete dataset consists of approximately 19 million Facebook status updates written by 136,000 participants. The scientists used three steps to analyze the data: the first step is linguistic feature extraction (a- word or phrase, b- topic), the second step is correlational analysis which means the correlation of the linguistic feature with the gender, age and personality. The

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