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Using Longitudinal Twitter Data for Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set and Deep Neural Network Classifiers

Using Longitudinal Twitter Data for Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set and Deep Neural Network Classifiers

The institutional review boards of the University of Pennsylvania and Cedars-Sinai Medical Center deemed this study exempt. We searched for mentions of ADHD, ASD, delayed speech, and asthma among all the tweets posted by more than 100,000 users who reported their pregnancy on Twitter [8]. We then searched these matching tweets for references to a child and the user, and excluded tweets that matched specific patterns indicating the user’s own disorder.

Ari Z Klein, José Agustín Gutiérrez Gómez, Lisa D Levine, Graciela Gonzalez-Hernandez

J Med Internet Res 2024;26:e50652

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