Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing Approach.

Journal: JMIR infodemiology
Published Date: Jul 28, 2025

Abstract

BACKGROUND: User demographics are often hidden in social media data due to privacy concerns. However, demographic information on substance use (SU) can provide valuable insights, allowing public health policy makers to focus on specific cohorts and develop efficient prevention strategies, especially during global crises such as the COVID-19 pandemic.

Authors

  • Julina Maharjan
    Department of Computer Science, Kent State University, Kent, OH, United States.
  • Ruoming Jin
    Department of Computer Science, Kent State University, Kent, OH, United States.
  • Jennifer King
    Department of Public Health, Kent State University, Kent, OH, United States.
  • Jianfeng Zhu
    Department of Preventative Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, China.
  • Deric Kenne
    Department of Public Health, Kent State University, Kent, OH, United States.

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