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Decoding HIV Discourse on Social Media: Large-Scale Analysis of 191,972 Tweets Using Machine Learning, Topic Modeling, and Temporal Analysis

Decoding HIV Discourse on Social Media: Large-Scale Analysis of 191,972 Tweets Using Machine Learning, Topic Modeling, and Temporal Analysis

Reference 46: Exploring the role of social media in e-government: an analysis of emerging literaturePublic (e)Health, Digital Epidemiology and Public Health Informatics

Xiangming Zhan, Meijia Song, Cho Hee Shrader, Chad E Forbes, Angel B Algarin

J Med Internet Res 2025;27:e76745

Designing Digital Mental Health Interventions to Meet the Needs of Older Adolescents: Qualitative Interview and Group Discussion Study

Designing Digital Mental Health Interventions to Meet the Needs of Older Adolescents: Qualitative Interview and Group Discussion Study

It could also do e-gift cards as rewards as well. Participants theorized that the addition of more tangible rewards would increase engagement among adolescents. One participant provided additional guidance on how these types of rewards could be incorporated within programs that suggest daily self-management tasks: I think a tool that people my age would like would be an app or game that interests them and gives them in-game rewards for different things they do.

Rachel Kornfield, Sarah Alexandra Popowski, Emily Tack, Jack Svoboda, Miguel Herrera, Theresa Nguyen, Ashley Arehart Knapp, David Curtis Mohr, Jonah Meyerhoff

JMIR Form Res 2025;9:e68950