Identifying Topics Around Nicotine Gum: A Machine Learning Approach with Twitter Data.

Journal: Substance use & misuse
PMID: 39520290

Abstract

BACKGROUND: Nicotine gum products from brands like Lucy and Rogue are relatively new arrivals to the tobacco marketplace. While studies of correlates of nicotine gum use are in their nascent stage, data from social media can be used to stay abreast of user experiences with novel tobacco products. This study leveraged machine learning to identify topics of Twitter posts about nicotine gum from the year 2022.

Authors

  • Eileen Han
    Center for Tobacco Control Research and Education, University of California, San Francisco, San Francisco, California, USA.
  • Manan Biyani
    Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Mary Hrywna
    Department of Health Behavior, Society and Policy, Rutgers School of Public Health, The State University of New Jersey, New Brunswick, New Jersey, USA.
  • Scott I Donaldson
    Institute for Nicotine and Tobacco Studies, Rutgers Biomedical and Health Sciences, Newark, New Jersey, USA.
  • Jon-Patrick Allem
    Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.

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