Inferring Opinions and Behavioral Characteristics of Gay Men with Large Scale Multilingual Text from Blued
Inferring Opinions and Behavioral Characteristics of Gay Men with Large Scale Multilingual Text from Blued
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利用 Blued 大规模多语言文本推断男同性恋者的观点和行为特征
DOI：
10.3390/ijerph16193597
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发表时间：
2019-10-01
影响因子：
--
通讯作者：
Lu, Xin
中科院分区：
文献类型：
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作者：
Huang, Ge;Cai, Mengsi;Lu, Xin
许多国家的男同性恋者越来越多地使用地理社交网络应用程序，从而为了解他们提供了新的机会。本文对全球最大的同性恋交友社交网络应用Blued上的帖子和观点进行了全面的内容分析，以推断和比较不同国家男同性恋者的观点和行为特征。使用机器学习和语言编程方法来提取主题并分析帖子的情感。结果表明，大部分帖子与日常生活活动有关，涉及敏感话题的帖子较少。虽然大多数帖子都是积极或中性的，但消极情绪，包括焦虑，愤怒和悲伤，主要分布在与中国的自我认同和性行为以及其他国家的关系有关的帖子中。投票项目显示，只有50.52%的参与者会定期进行艾滋病毒检测，50.2%的人会在单身时发生随意性行为。此外，35.8%的参与者可能会在朋友的邀请下尝试毒品。我们的研究结果表明，研究人员和公共卫生从业人员有机会和必要使用GSN应用程序和其他社交媒体上的开源数据，为艾滋病毒干预提供信息，并促进性少数群体的社会包容。
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.