research-article

Assessing the mental health of college students by leveraging social media data

Authors:

Munmun De ChoudhuryAuthors Info & Claims

XRDS: Crossroads, The ACM Magazine for Students, Volume 28, Issue 1

Pages 54 - 58

https://doi.org/10.1145/3481834

Published: 21 September 2021 Publication History

Abstract

The mental health of college students is a growing concern and gauging the mental health needs of this group is difficult to assess in real-time and in scale. The ubiquity and widespread use of social media, particularly among young adults, provides opportunities for various stakeholders to proactively assess the mental health of college students and provide timely and tailored support.

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Saha, K., Weber, I., and De Choudhury, M. A social media based examination of the effects of counseling recommendations after student deaths on college campuses. Proceedings of the International AAAI Conference on Web and Social Media 12, 1 (2018).

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Saha, K., Yousuf, A., Boyd, R., Pennebaker, J. W., and De Choudhury, M. Mental health consultations on college campuses: Examining the predictive ability of social media. Available at SSRN 3774189. 2021

Cited By

Khan NSyeda RAijaz KShahid S(2024)Navigating Academic Transition: Unveiling Mental Health Challenges in the Shift from High School to UniversityProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3655820(495-506)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3628516.3655820
Khan AAli R(2024)Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social mediaSocial Network Analysis and Mining10.1007/s13278-024-01205-014:1Online publication date: 4-Apr-2024
https://doi.org/10.1007/s13278-024-01205-0
Min Z(2022)Big Data Driven Mental Health Assessment Model for College Students2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)10.1109/ICKECS56523.2022.10059983(1-5)Online publication date: 28-Dec-2022
https://doi.org/10.1109/ICKECS56523.2022.10059983

Index Terms

Assessing the mental health of college students by leveraging social media data
1. Applied computing
  1. Law, social and behavioral sciences
    1. Psychology
2. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing

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Published In

cover image XRDS: Crossroads, The ACM Magazine for Students

XRDS: Crossroads, The ACM Magazine for Students Volume 28, Issue 1

Is Computing Toxic?

Fall 2021

67 pages

ISSN:1528-4972

EISSN:1528-4980

DOI:10.1145/3487894

Editor:
Karan Ahuja
Carnegie Mellon University

Issue’s Table of Contents

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 September 2021

Published in XRDS Volume 28, Issue 1

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Cited By

Khan NSyeda RAijaz KShahid S(2024)Navigating Academic Transition: Unveiling Mental Health Challenges in the Shift from High School to UniversityProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3655820(495-506)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3628516.3655820
Khan AAli R(2024)Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social mediaSocial Network Analysis and Mining10.1007/s13278-024-01205-014:1Online publication date: 4-Apr-2024
https://doi.org/10.1007/s13278-024-01205-0
Min Z(2022)Big Data Driven Mental Health Assessment Model for College Students2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)10.1109/ICKECS56523.2022.10059983(1-5)Online publication date: 28-Dec-2022
https://doi.org/10.1109/ICKECS56523.2022.10059983

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