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Social Media Data Mining of Antitobacco Campaign Messages: Machine Learning Analysis of Facebook Posts.

Shuo-Yu LinXiaolu ChengJun ZhangJaya Sindhu YannamAndrew J BarnesJ Randy KochRashelle HayesGilbert GimmXiaoquan ZhaoHemant PurohitYoufa Wang
Published in: Journal of medical Internet research (2023)
Facebook users tend to engage more in antitobacco educational campaigns that are framed negatively. The most popular campaign posts are those providing new information, with key phrases and topics discussing harmful chemicals and risks of secondhand smoke for pets. Educational campaign designers can use such insights to increase the reach of antismoking campaigns and promote behavioral changes.
Keyphrases
  • social media
  • health information
  • machine learning
  • big data
  • electronic health record
  • artificial intelligence
  • healthcare
  • human health