Standard
Correlating msm's mental health with usage behaviors on msm-specific social applications. /
Gao, X.; Zhang, C.; Ma, L. et al.
2019. 891-898 Paper presented at 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBD), Leicester , United Kingdom.
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
Harvard
Gao, X, Zhang, C, Ma, L, Wang, Y, Wang, J
& Zhang, D 2019, '
Correlating msm's mental health with usage behaviors on msm-specific social applications', Paper presented at 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBD), Leicester , United Kingdom,
19/08/19 -
23/08/19 pp. 891-898.
https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00181
APA
Gao, X., Zhang, C., Ma, L., Wang, Y., Wang, J.
, & Zhang, D. (2019).
Correlating msm's mental health with usage behaviors on msm-specific social applications. 891-898. Paper presented at 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBD), Leicester , United Kingdom.
https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00181
Vancouver
Gao X, Zhang C, Ma L, Wang Y, Wang J
, Zhang D.
Correlating msm's mental health with usage behaviors on msm-specific social applications. 2019. Paper presented at 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBD), Leicester , United Kingdom. doi: 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00181
Author
Gao, X. ; Zhang, C. ; Ma, L. et al. /
Correlating msm's mental health with usage behaviors on msm-specific social applications. Paper presented at 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBD), Leicester , United Kingdom.8 p.
Bibtex
@conference{874457873c914d0ab2c76a490e218706,
title = "Correlating msm's mental health with usage behaviors on msm-specific social applications",
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. {\textcopyright} 2019 IEEE.",
keywords = "Mental health, MSM, Social application, Health, Smart city, Social aspects, Trusted computing, Meeting places, Mobility information, Psychological state, Social applications, Social relationships, Stress levels, User-generated content, Ubiquitous computing",
author = "X. Gao and C. Zhang and L. Ma and Y. Wang and J. Wang and D. Zhang",
note = "Export Date: 29 April 2020 Correspondence Address: Wang, J.; School of Computing and Communications, Lancaster UniversityUnited Kingdom; email: wangyasha@pku.edu.cn Funding details: Science and Technology Major Project of Guangxi, 2018ZX10201002 Funding details: National Natural Science Foundation of China, NSFC, 61772045 Funding text 1: This work is supported by the National Science and Technology Major Project (No. 2018ZX10201002) and the National Natural Science Foundation of China (No.61772045).; 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBD), IEE SmartWorld '19 ; Conference date: 19-08-2019 Through 23-08-2019",
year = "2019",
month = aug,
day = "23",
doi = "10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00181",
language = "English",
pages = "891--898",
url = "https://www.aconf.org/conf_173124.html",
}
RIS
TY - CONF
T1 - Correlating msm's mental health with usage behaviors on msm-specific social applications
AU - Gao, X.
AU - Zhang, C.
AU - Ma, L.
AU - Wang, Y.
AU - Wang, J.
AU - Zhang, D.
N1 - Export Date: 29 April 2020
Correspondence Address: Wang, J.; School of Computing and Communications, Lancaster UniversityUnited Kingdom; email: wangyasha@pku.edu.cn
Funding details: Science and Technology Major Project of Guangxi, 2018ZX10201002
Funding details: National Natural Science Foundation of China, NSFC, 61772045
Funding text 1: This work is supported by the National Science and Technology Major Project (No. 2018ZX10201002) and the National Natural Science Foundation of China (No.61772045).
PY - 2019/8/23
Y1 - 2019/8/23
N2 - 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. © 2019 IEEE.
AB - 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. © 2019 IEEE.
KW - Mental health
KW - MSM
KW - Social application
KW - Health
KW - Smart city
KW - Social aspects
KW - Trusted computing
KW - Meeting places
KW - Mobility information
KW - Psychological state
KW - Social applications
KW - Social relationships
KW - Stress levels
KW - User-generated content
KW - Ubiquitous computing
U2 - 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00181
DO - 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00181
M3 - Conference paper
SP - 891
EP - 898
T2 - 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBD)
Y2 - 19 August 2019 through 23 August 2019
ER -
