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E-Cigarette Surveillance With Social Media Data: Social Bots, Emerging Topics, and Trends.

Jon-Patrick AllemEmilio FerraraSree Priyanka UppuTess Boley CruzJennifer Beth Unger
Published in: JMIR public health and surveillance (2017)
Social media data may be used to complement and extend the surveillance of health behaviors including tobacco product use. Public health researchers could harness these data and methods to identify new products or devices. Furthermore, findings from this study demonstrate the importance of distinguishing between Twitter posts from social bots and humans when attempting to understand attitudes and behaviors. Social bots may be used to perpetuate the idea that e-cigarettes are helpful in cessation and to promote new products as they enter the marketplace.
Keyphrases
  • social media
  • public health
  • health information
  • mental health
  • healthcare
  • electronic health record
  • big data
  • smoking cessation
  • data analysis
  • machine learning
  • deep learning