Literature DB >> 32210878

Examining the Phenomenon of Quarter-Life Crisis Through Artificial Intelligence and the Language of Twitter.

Shantenu Agarwal1, Sharath Chandra Guntuku1, Oliver C Robinson2, Abigail Dunn3, Lyle H Ungar1.   

Abstract

Quarter-life crisis (QLC) is a popular term for developmental crisis episodes that occur during early adulthood (18-30). Our aim was to explore what linguistic themes are associated with this phenomenon as discussed on social media. We analyzed 1.5 million tweets written by over 1,400 users from the United Kingdom and United States that referred to QLC, comparing their posts to those used by a control set of users who were matched by age, gender and period of activity. Logistic regression was used to uncover significant associations between words, topics, and sentiments of users and QLC, controlling for demographics. Users who refer to a QLC were found to post more about feeling mixed emotions, feeling stuck, wanting change, career, illness, school, and family. Their language tended to be focused on the future. Of 20 terms selected according to early adult crisis theory, 16 were mentioned by the QLC group more than the control group. The insights from this study could be used by clinicians and coaches to better understand the developmental challenges faced by young adults and how these are portrayed naturalistically in the language of social media.
Copyright © 2020 Agarwal, Guntuku, Robinson, Dunn and Ungar.

Entities:  

Keywords:  emerging adulthood; machine learning; natural language processing; quarter-life crisis; social media

Year:  2020        PMID: 32210878      PMCID: PMC7068850          DOI: 10.3389/fpsyg.2020.00341

Source DB:  PubMed          Journal:  Front Psychol        ISSN: 1664-1078


  9 in total

1.  Emerging adulthood. A theory of development from the late teens through the twenties.

Authors:  J J Arnett
Journal:  Am Psychol       Date:  2000-05

2.  PREDICTING INDIVIDUAL WELL-BEING THROUGH THE LANGUAGE OF SOCIAL MEDIA.

Authors:  H Andrew Schwartz; Maarten Sap; Margaret L Kern; Johannes C Eichstaedt; Adam Kapelner; Megha Agrawal; Eduardo Blanco; Lukasz Dziurzynski; Gregory Park; David Stillwell; Michal Kosinski; Martin E P Seligman; Lyle H Ungar
Journal:  Pac Symp Biocomput       Date:  2016

3.  A snapshot of the age distribution of psychological well-being in the United States.

Authors:  Arthur A Stone; Joseph E Schwartz; Joan E Broderick; Angus Deaton
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-17       Impact factor: 11.205

4.  Who uses exercise as a coping strategy for stress? Results from a national survey of Canadians.

Authors:  John Cairney; Matthew Y W Kwan; Scott Veldhuizen; Guy E J Faulkner
Journal:  J Phys Act Health       Date:  2013-03-14

5.  Language of ADHD in Adults on Social Media.

Authors:  Sharath Chandra Guntuku; J Russell Ramsay; Raina M Merchant; Lyle H Ungar
Journal:  J Atten Disord       Date:  2017-11-08       Impact factor: 3.256

6.  The online disinhibition effect.

Authors:  John Suler
Journal:  Cyberpsychol Behav       Date:  2004-06

7.  Stress and alcohol use: moderating effects of gender, coping, and alcohol expectancies.

Authors:  M L Cooper; M Russell; J B Skinner; M R Frone; P Mudar
Journal:  J Abnorm Psychol       Date:  1992-02

Review 8.  Online social networking sites and mental health research.

Authors:  Umar Toseeb; Becky Inkster
Journal:  Front Psychiatry       Date:  2015-03-12       Impact factor: 4.157

9.  Personality, gender, and age in the language of social media: the open-vocabulary approach.

Authors:  H Andrew Schwartz; Johannes C Eichstaedt; Margaret L Kern; Lukasz Dziurzynski; Stephanie M Ramones; Megha Agrawal; Achal Shah; Michal Kosinski; David Stillwell; Martin E P Seligman; Lyle H Ungar
Journal:  PLoS One       Date:  2013-09-25       Impact factor: 3.240

  9 in total

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