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Correlating msm's mental health with usage behaviors on msm-specific social applications

  • Xin Gao
  • , Chaohe Zhang
  • , Liantao Ma
  • , Yasha Wang
  • , Jiangtao Wang
  • , Daqing Zhang
  • Ministry of Education China
  • Peking University
  • Lancaster University

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

Abstract

Homophobia and discrimination towards men who have sex with men (MSM) make the mental health of this community a severe concern. The prevalence of mobile social apps for MSM provides a new channel to study their mental health issues. However, the correlation between the psychological states of MSM and their behaviors on social apps are still uninvestigated. In this paper, we conduct a case study of 103 MSM in China to explore whether the User Generated Content, Profile, Mobility information of MSM on social apps correlate with their depression, loneliness, anxiety and stress level. The analysis results indicate that the mental health disorder level of MSM is correlated with the emotion expressed in posts, whether the user has filled in self-description blank, the social relationship among online friends, frequency of visiting popular gays-meeting places. Our findings imply future opportunities in early psychological problems detection and intervention.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages891-898
Number of pages8
ISBN (Electronic)9781728140346
DOIs
Publication statusPublished - 9 Apr 2020
Externally publishedYes
Event2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 - Leicester, United Kingdom
Duration: 19 Aug 201923 Aug 2019

Conference

Conference2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
Country/TerritoryUnited Kingdom
CityLeicester
Period19/08/1923/08/19

Funding

This work is supported by the National Science and Technology Major Project (No. 2018ZX10201002) and the National Natural Science Foundation of China (No.61772045).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Mental health
  • MSM
  • Social application

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Urban Studies

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