Published on in Vol 3 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42218, first published .
Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification

Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification

Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification

Authors of this article:

Dhiraj Murthy1 Author Orcid Image ;   Juhan Lee2 Author Orcid Image ;   Hassan Dashtian1 Author Orcid Image ;   Grace Kong2 Author Orcid Image

Journals

  1. Li W, Kong G, Davis D, Bold K, Krishnan-Sarin S, Camenga D, Morean M, Demant D. Sources of exposure to non-tobacco nicotine electronic nicotine delivery systems and associations with susceptibility to use and use behaviors among young adults in the United States. PLOS ONE 2024;19(5):e0299533 View
  2. Lee J, Ouellette R, Morean M, Kong G. Adolescents and Young Adults Use of Social Media and Following of e-Cigarette Influencers. Substance Use & Misuse 2024;59(9):1424 View
  3. Jung S, Murthy D, Bateineh B, Loukas A, Wilkinson A. The Normalization of Vaping on TikTok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study. Journal of Medical Internet Research 2024;26:e55591 View

Books/Policy Documents

  1. Huang L, Goh D, Yin S. HCI International 2024 – Late Breaking Posters. View

Conference Proceedings

  1. Dias A, Tanure R, Almeida J, Lima H, Ferreira C. Proceedings of the 30th Brazilian Symposium on Multimedia and the Web (WebMedia 2024). Análise da Percepção do Uso de Cigarros Eletrônicos no Brasil por meio de Comentários no YouTube View