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Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review.

Jiaqi FuChaixiu LiChunlan ZhouWenji LiJie LaiShisi DengYujie ZhangZihan GuoYan-Ni Wu
Published in: Journal of medical Internet research (2023)
Based on an extensive literature review, we investigated the methods for analyzing the contents of social media for health care to determine the main applications, differences, trends, and existing problems. We also discussed the implications for the future. Traditional content analysis is still the mainstream method for analyzing social media content, and future research may be combined with big data research. With the progress of computers, mobile phones, smartwatches, and other smart devices, social media information sources will become more diversified. Future research can combine new sources, such as pictures, videos, and physiological signals, with online social networking to adapt to the development trend of the internet. More medical information talents need to be trained in the future to better solve the problem of network information analysis. Overall, this scoping review can be useful for a large audience that includes researchers entering the field.
Keyphrases
  • social media
  • health information
  • healthcare
  • big data
  • current status
  • artificial intelligence
  • machine learning
  • drinking water
  • mass spectrometry
  • high resolution
  • deep learning
  • resistance training
  • body composition