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Associations Among Web-Based Civic Engagement and Discrimination, Web-Based Social Support, and Mental Health and Substance Use Risk Among LGBT Youth: Cross-Sectional Survey Study.

Xiangyu TaoCelia B Fisher
Published in: Journal of medical Internet research (2023)
This study highlights the importance of examining LGBT youth's specific web-based activities and the need for future research to focus on the intersectional experiences of LGBT adolescents from racial and ethnic minoritized groups through culturally sensitive questions. This study also calls for social media platforms to implement policies that mitigate the effects of algorithms that expose youth to heterosexist and transphobic messaging, such as adopting machine learning algorithms that can efficiently recognize and remove harmful content.
Keyphrases
  • mental health
  • machine learning
  • social media
  • social support
  • young adults
  • physical activity
  • depressive symptoms
  • deep learning
  • health information
  • artificial intelligence
  • mental illness