LINGUISTIC INDICATORS OF DEPRESSION AND ANXIETY IN SOCIAL MEDIA POSTS
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social media, mental health, linguistic markers, platforms.##article.abstract##
In contemporary society, social media has emerged as a vital role of daily existence, providing an avenue for insight into the cognitive processes, emotional states, and behavioral patterns of millions of individuals across the globe. While a large
part of content-based platforms such as Twitter, Facebook, and Instagram may be seen as educational, a growing body of research suggests that social media postings can also reveal deep psychological problems, including depression and anxiety. Through the
examination of linguistic patterns, researchers have defined particular markers that may denote the existence of these mental health disorders. This article explores the linguistic markers associated with depression and anxiety in social media posts and
discusses the implications for mental health monitoring and intervention.
##submission.citations##
1. Tausczik, Y. R., & Pennebaker, J. W. (2010). The Psychological Meaning of Words:
LIWC and Computerized Text Analysis Methods.Journal of Language and Social
Psychology, 29(1), 24–54. DOI: 10.1177/0261927X09351676
2. De Choudhury, M., Gamon, M., Counts, S., & Horvitz, E. (2013). Predicting
Depression via Social Media. Proceedings of the International AAAI Conference on
Web and Social Media, 7(1), 128–137.
3. Coppersmith, G., Harman, C., & Dredze, M. (2014). Measuring Post-Traumatic
Stress Disorder in Twitter. Proceedings of the International AAAI Conference on Web
and Social Media, 8(1), 563–566.
4. Park, M., Cha, C., & Cha, M. (2012). Depressive Moods of Users Portrayed in
Twitter Proceedings of the ACM SIGKDD Workshop on Healthcare Informatics, 1
8.
5. Eichstaedt, J. C., Smith, R. J., Merchant, R. M., Ungar, L. H., Crutchley, P., Preoţiuc
Pietro, D., ... & Schwartz, H. A. (2018). Facebook Language Predicts Depression in
Medical Records. Proceedings of the National Academy of Sciences, 115(44), 11203
11208. DOI: 10.1073/pnas.1802331115 6. Pennebaker, J. W., & King, L. A. (1999). Linguistic Styles: Language Use as an
Individual Difference. Journal of Personality and Social Psychology, 77(6), 1296
1312. DOI: 10.1037/0022-3514.77.6.1296
7. Guntuku, S. C., Yaden, D. B., Kern, M. L., Ungar, L. H., & Eichstaedt, J. C. (2017).
Detecting Depression and Mental Illness on Social Media: An Integrative Review.
Current
Opinion
in
Behavioral
10.1016/j.cobeha.2017.07.005
Sciences,
18,
43–49.
DOI:
8. Al-Mosaiwi, M., & Johnstone, T. (2018). In an Absolute State: Elevated Use of
Absolutist Words Is a Marker Specific to Anxiety, Depression, and Suicidal Ideation.
Clinical Psychological Science, 6(4), 529–542. DOI: 10.1177/2167702617747074
9. Chancellor, S., & De Choudhury, M. (2020). Methods in Predictive Techniques for
Mental Health Status on Social Media: A Critical Review.
10. Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Dziurzynski, L., Ramones, S. M.,
Agrawal, M., ... & Ungar, L. H. (2013).
11. Coppersmith, G., Ngo, K., Leary, R., & Wood, A. (2016). Exploratory Analysis of
Social Media Prior to a Suicide Attempt. Proceedings of the Third Workshop on
Computational Linguistics and Clinical Psychology, 106–117.
