Building an Analytical Framework for Tobacco-Related Misinformation on Social Media: An Exploratory Analysis with Generative AI Assistance.

Journal: medRxiv : the preprint server for health sciences
Published Date: May 21, 2025

Abstract

BACKGROUND: The propagation of tobacco-related misinformation significantly impacts public health, particularly affecting people with less access to reliable information sources (such as those with lower education), who may also su affer disproportionate tobacco-related morbidity and mortality. This study analyzed a dataset from Twitter to identify the characteristics of tobacco-related misinformation, with the goal of creating a framework for its identification, categorization, and validation.

Authors

  • Eileen Han
    Center for Tobacco Control Research and Education, University of California, San Francisco, San Francisco, California, USA.
  • Miao Feng
    National Technology Innovation Center of Synthetic Biology, Tianjin 300308, China.
  • Pamela Ling

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