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Article

Inferring Opinions and Behavioral Characteristics of Gay Men with Large Scale Multilingual Text from Blued

by 1, 1 and 1,2,3,*
1
College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
2
School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China
3
School of Business, Central South University, Changsha 410083, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(19), 3597; https://doi.org/10.3390/ijerph16193597
Received: 5 September 2019 / Revised: 19 September 2019 / Accepted: 24 September 2019 / Published: 26 September 2019
(This article belongs to the Special Issue Health and Wellbeing in Sexual Orientation and Gender Identity)
Gay men in many countries are increasingly using geosocial networking applications (GSN apps), thus offering new opportunities for understanding them. This paper provides a comprehensive content analysis of posts and opinions on Blued, the world’s largest gay social networking dating app, to infer and compare opinions and behavioral characteristics of gay men in different countries. Machine learning and linguistic programming approaches were used to extract themes and analyze sentiments of posts. The results show that the majority of posts are related to daily life activities, and less are related to sensitive topics. While most posts are positive or neutral, negative emotions, including anxiety, anger, and sadness, are mainly distributed in posts related to self-identification and sexual behaviors in China and to relationships in other countries. Voting items indicate that only 50.52% of the participants will take regular HIV tests while 50.2% would have casual sex when they are single. Additionally, 35.8% of the participants may try drugs when invited by friends. Our findings suggest an opportunity and necessity for researchers and public health practitioners to use open source data on GSN apps and other social medias to inform HIV interventions and to promote social inclusion for sexual minorities. View Full-Text
Keywords: gay men; content analysis; behavioral characteristics; GSN apps; Blued gay men; content analysis; behavioral characteristics; GSN apps; Blued
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MDPI and ACS Style

Huang, G.; Cai, M.; Lu, X. Inferring Opinions and Behavioral Characteristics of Gay Men with Large Scale Multilingual Text from Blued. Int. J. Environ. Res. Public Health 2019, 16, 3597. https://doi.org/10.3390/ijerph16193597

AMA Style

Huang G, Cai M, Lu X. Inferring Opinions and Behavioral Characteristics of Gay Men with Large Scale Multilingual Text from Blued. International Journal of Environmental Research and Public Health. 2019; 16(19):3597. https://doi.org/10.3390/ijerph16193597

Chicago/Turabian Style

Huang, Ge, Mengsi Cai, and Xin Lu. 2019. "Inferring Opinions and Behavioral Characteristics of Gay Men with Large Scale Multilingual Text from Blued" International Journal of Environmental Research and Public Health 16, no. 19: 3597. https://doi.org/10.3390/ijerph16193597

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