A Social Media Based Index of Mental Well-Being in College Campuses

被引:52
作者
Bagroy, Shrey [1 ]
Kumaraguru, Ponnurangam [1 ]
De Choudhury, Munmun [2 ]
机构
[1] IIIT, Precog, Delhi, India
[2] Georgia Tech, Coll Comp, Atlanta, GA USA
来源
PROCEEDINGS OF THE 2017 ACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'17) | 2017年
关键词
college mental health; Reddit; social media; transfer learning; ACADEMIC STRESS; SELF-EFFICACY; STUDENTS; HEALTH; SITES;
D O I
10.1145/3025453.3025909
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Psychological distress in the form of depression, anxiety and other mental health challenges among college students is a growing health concern. Dearth of accurate, continuous, and multi-campus data on mental well-being presents significant challenges to intervention and mitigation efforts in college campuses. We examine the potential of social media as a new "barometer" for quantifying the mental well-being of college populations. Utilizing student-contributed data in Reddit communities of over 100 universities, we first build and evaluate a transfer learning based classification approach that can detect mental health expressions with 97% accuracy. There-after, we propose a robust campus-specific Mental Well-being Index: MWI. We find that MWI is able to reveal meaningful temporal patterns of mental well-being in campuses, and to assess how their expressions relate to university attributes like size, academic prestige, and student demographics. We discuss the implications of our work for improving counselor efforts, and in the design of tools that can enable better assessment of the mental health climate of college campuses.
引用
收藏
页码:1634 / 1646
页数:13
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