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Using Social Media to Predict Food Deserts in the United States: Infodemiology Study of Tweets.

Nekabari SigaloBeth St JeanVanessa Frias-Martinez
Published in: JMIR public health and surveillance (2022)
Social media data have been increasingly used to answer questions related to health and well-being. Using Twitter data, we found that food-related tweets can be used to develop models for predicting census tract food desert status with high accuracy and improve over baseline models. Food ingestion language found in tweets, such as census tract-level measures of food sentiment and healthiness, are associated with census tract-level food desert status.
Keyphrases
  • social media
  • health information
  • human health
  • healthcare
  • public health
  • mental health
  • electronic health record
  • autism spectrum disorder
  • big data
  • machine learning
  • data analysis