Analyzing hidden populations online: topic, emotion, and social network of HIV-related users in the largest Chinese online community.
Chuchu LiuXin LuPublished in: BMC medical informatics and decision making (2018)
Online communities have generated copious amounts of data offering new opportunities for understanding hidden populations with unprecedented sample sizes and richness of information. It is recommended that support through online services for HIV/AIDS consultation and diagnosis be improved to avoid privacy concerns and social discrimination in China.
Keyphrases
- health information
- hiv aids
- healthcare
- social media
- antiretroviral therapy
- mental health
- human immunodeficiency virus
- hiv infected
- hiv positive
- big data
- hepatitis c virus
- primary care
- depressive symptoms
- autism spectrum disorder
- electronic health record
- hiv testing
- genetic diversity
- men who have sex with men
- artificial intelligence
- data analysis
- health insurance