IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
webp (1)

Plagiarism Passed
Peer reviewed
Open Access

AN INTELLIGENT MENTAL HEALTH TRACKER BASED ON SOCIAL MEDIA ACTIVITY

AUTHORS:
Thaniska E
Mentor
Vanitha K
Affiliation
Department of Computer Technology, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, India
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

The widespread use of social media has reshaped how individuals interact, share information, and construct their identities. Alongside these opportunities, concerns about its impact on mental health have grown significantly. This study explores the relationship between social media activity and psychological well- being, while proposing the development of an intelligent mental health tracking system. The suggested framework, called the Social Media Integrated Mental Health Tracker (SMIMHT), combines artificial intelligence, ecological momentary assessment (EMA), and wearable technologies to monitor, predict, and improve mental health outcomes.

Keywords
Article Metrics
Article Views
44
PDF Downloads
0
HOW TO CITE
APA

MLA

Chicago

Copy

E, T. (2026). An Intelligent Mental Health Tracker Based on Social Media Activity. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.211

E, Thaniska. "An Intelligent Mental Health Tracker Based on Social Media Activity." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.211.

E, Thaniska. "An Intelligent Mental Health Tracker Based on Social Media Activity." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.211.

References
1.M. De Choudhury, M. Gamon, S. Counts, and E. Horvitz, “Predicting Depression via Social Media,” Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 2013.

2.M. De Choudhury, S. Counts, and E. Horvitz, “Social Media as a

Measurement Tool of Depression in Populations,” Proceedings of the 5th ACM International Conference on Web Search and Data Mining (WSDM), 2013.

3.E. Reece and C. M. Danforth, “Instagram photos reveal predictive markers of depression,” EPJ Data Science, vol. 6, no. 1, 2017.

4.A. Guntuku, S. Yaden, M. Kern, L. Ungar, and J. Eichstaedt, “Detecting Depression and Mental Illness on Social Media: An Integrative Review,” Current Opinion in Behavioral Sciences, vol. 18, pp. 43–49, 2017.

5.J. Coppersmith, M. Dredze, and C. Harman, “Quantifying Mental Health Signals in Twitter,” Proceedings of the ACL Workshop on Computational Linguistics and Clinical Psychology, 2014.

6.M. De Choudhury et al., “Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media,” Proceedings of CHI Conference on Human Factors in Computing Systems, 2016.

7.S. Chancellor and M. De Choudhury, “Methods in Predictive Techniques for Mental Health Status on Social Media: A Critical Review,” npj Digital Medicine, vol. 3, 2020.

8.A. S. K. Ong et al., “Machine Learning for Mental Health in Social Media: Bibliometric and Systematic Review,” IEEE Access, vol. 9, pp. 18382–18405, 2021.

9.S. D’Alfonso, “AI in Mental Health,” IEEE Intelligent Systems, vol. 35, no. 1, pp. 82–85, 2020.

10.M. Tadesse, H. Lin, B. Xu, and L. Yang, “Detection of Depression-Related Posts in Reddit Social Media Forum,” IEEE Access, vol. 7, pp. 44883–44893, 2019.
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
Indexed In
Similar Articles
The Rise of Income Inequality and Potential Solutions in the Current Scenario at the Workplace
string(32) "Dr. Shruti Mathur , S.K. Trivedi" Trivedi, D. S. M. ,. S.
(2026)
DOI: 10.55041/ijsmt.v2i2.004
AI Resume Shortlisting System using Machine Learning
string(11) "M.Prabhakar" M.Prabhakar,
(2026)
DOI: 10.55041/ijsmt.v2i3.083
AI-Driven Interactive Health Care Assistant with Face Detection
string(70) "M.Pragadheesh , Jananisri G ,Tamilselvan D , Nadish M , Varshanraj M C" C, M. ,. J. G. ,. D. ,. N. M. ,. V. M.
(2026)
DOI: 10.55041/ijsmt.v2i2.143
Scroll to Top